Unilog alternative, Unilog vs ToolSwift, B2B eCommerce platform, Contractor portal, Building supply software, Lumber yard software, Dealer eCommerce AI quoting

ToolSwift vs. Unilog CX1: A 2026 Comparison for Distributors Evaluating CIMM2, Sigma, and Essentials

August 3, 2026

Comparison between ToolSwift and Unilog for B2B ecommerce

Compare Unilog vs ToolSwift for B2B eCommerce, contractor portals, AI quoting, pricing, shipping, delivery, and product and catalog content.

Executive Summary

Unilog is a twenty-five-year-old, private-equity-backed platform with deep product content capability, a mature B2B feature set, and a genuine strength in enrichment at scale. Builds run roughly $15,000 to $60,000, with subscriptions starting at around $2,499 per month.
ToolSwift is a headless, API-first platform with a dual-experience setup: a retail storefront and a separate B2B contractor dashboard, both using a native branded app and sharing one catalog. Pricing starts at $499 per store per month, $250 per additional location, with onboarding costs between $3,000 and $9,000, no transaction fees, and month-to-month terms.
The thing to understand before you sign anything with Unilog is that they are currently selling three separate commerce platforms. CIMM2 is what nearly all existing customers run. CX1 Sigma launched in August 2026 on an entirely new foundation, with the first named implementation still in progress. Essentials is the entry tier. Most of the AI capability being demonstrated lives on Sigma, not on CIMM2.
Where each of us wins: Unilog for complex custom requirements, enterprise procurement workflows, and businesses whose core problem is product data at scale. ToolSwift for published pricing, a launch measured in weeks, retail and contractor experiences that don't compromise each other, AI aimed at your customers rather than your back office, and no percentage of your volume.

Introduction

Unilog launched a new commerce platform on August 20, 2026.
This is more important than a regular product announcement, because anyone considering Unilog right now is making a decision that hasn't been covered yet. CX1 Sigma is not just an update to Unilog's existing platform; the company makes that clear in its customer communications. It's built on a new foundation: multi-tenant, API-first, with an AI agent suite, a new CMS, and AI-visibility features that the previous platform doesn't offer.
Meanwhile, CIMM2, the platform nearly every current Unilog customer runs, continues on its own roadmap. And CX1 Essentials sits below both as a ready-to-launch entry tier.
Three products, one brand, and a meaningful difference between them. If you're in a sales process with Unilog right now, the first question isn't how they compare to anyone else. It's the Unilog you're being quoted.
I run ToolSwift, so I have a clear interest in how this comparison comes across. I've aimed to make it useful even if you choose Unilog. That means giving Unilog full credit where they excel: their product content operation is excellent, their B2B features are extensive, and their implementation process is designed for complex needs. It also means being clear about where ToolSwift is a better fit and why, with numbers you can check and claims you can verify.
Some of what follows can be checked in a browser in just a couple of minutes. The section on discoverability, especially what search engines and AI assistants can read from a live storefront, is something you can test on any site we operate. I encourage you to try it.
Here's how the two platforms compare across the things that determine whether digital commerce works for a distribution business: architecture, pricing, contract terms, the retail storefront, the contractor experience, content management, catalog and product data, search, discoverability, AI, quoting, delivery, payments, mobile, and implementation.

Architecture: One Platform vs. Three Platforms Under One Brand

Before I get into features, it's worth understanding what each of us is actually selling, because with Unilog, that question has a genuinely complicated answer right now.

What Unilog is

Unilog started in 1998 as a product cataloging business and launched its flagship B2B eCommerce platform in 2014. The content DNA never left; enrichment services are still a core revenue line alongside the software. The company is headquartered outside Philadelphia with its engineering operation in India, and has been majority-owned by the private equity firm Investcorp since January 2021.
They sell to a wide range of wholesale distributors: plumbing, PVF, HVAC, electrical, industrial supply, safety and sanitation, pharma and medical, construction materials, and retail hardware and home improvement. That's nine industries, but from a platform perspective, it's the same challenge repeated: complex catalogs, account-based buying, customer-specific pricing, and an ERP that needs to stay in sync. We are built for that same challenge and serve the same types of distributors, wholesalers, and specialty retailers. Neither of us is limited by what's in stock.
Where we actually differ is in what each company ships.

The three-product problem

As of this month, Unilog is selling three separate commerce products:
CX1 CIMM2 is the established platform, and it's what nearly all current Unilog customers use. It's highly configurable, and their development team creates custom features to meet specific business needs. That flexibility is a real strength and is the reason they win complex accounts.
CX1 Sigma launched on August 20, 2026, four days before I wrote this. Unilog describes it as AI-native, API-first, and multi-tenant, with an agent suite handling content enrichment, merchandising, search tuning, and site health monitoring. The first named adopter, a plumbing and HVAC distributor, started implementation this month. Unilog says plainly in their own customer communications that Sigma is not a technical update to CIMM2. It's a different foundation.
CX1 Essentials is the entry tier,, a ready-to-launch storefront sold at Base, Plus, and Pro levels, with ERP integration available only at the top tier.
Their position is that CIMM2 continues on its published roadmap, while Sigma is an additional path, and I have no reason to think either statement is insincere. But if you're signing a multi-year agreement this quarter, you're choosing between a mature platform that's no longer the company's architectural direction and a four-day-old platform with one publicly named implementation in progress.

What we built

ToolSwift is one headless, API-first platform with a dual-experience architecture. Every client gets two front ends that share a single catalog and data layer: a retail storefront on your own domain and a separate B2B account dashboard with a native, branded mobile app for your commercial customers.
Product data, pricing logic, and catalog structure live in our own PIM, not in a third-party system bolted on. Our ERP and POS integrations sync pricing and inventory in real time, where the ERP supports it, but we maintain independent pricing logic, so if your ERP handles tiered or customer-specific pricing badly, you're not capped by that. Pages are server-side rendered, which matters later when I get to discoverability.

One codebase, one roadmap. Every client gets every update as it ships.

Impact: The architectural difference shows up in how the platform improves. On CIMM2, new capabilities have historically come from Unilog's development team building against a configurable base. That's powerful, and it's why they handle complicated accounts well, but it means your site is partly bespoke, and bespoke work carries forward awkwardly when the vendor's underlying architecture changes. Sigma's multi-tenant design is their answer to exactly that problem, and architecturally, I think it's the right answer. The catch is timing. If you're evaluating Unilog today, you're weighing a platform whose successor has already been announced against a successor with essentially no operating history. Our clients aren't making that call because there's one platform and one upgrade path.
The second difference is who the storefront is built for. Unilog's model is a single site that personalizes for whoever's logged in, which is the standard approach in wholesale distribution. It works cleanly when every customer is an account. It works less cleanly for any business running a real counter, showroom, or walk-in trade alongside its commercial book, and that describes many distributors in every industry Unilog sells into. We split those buyers into two purpose-built interfaces, each running on its own catalog, instead of asking a single storefront to be both.

Pricing: Published Rates vs. Quote-Based Investment

Neither of us puts a full price list on a public page, but we operate at different scales and treat pricing as information in pretty different ways.

What Unilog costs

Unilog doesn't publish pricing. CX1 Essentials has three named tiers, Base, Plus, and Pro, with no rates attached to any of them, and CIMM2 and Sigma are both quoted per engagement. The software directories that track this stuff all list Unilog as custom-priced with no published plans.
What I hear from dealers who've been through their process is a build somewhere between $15,000 and $60,000, with the subscription starting around $2,499 a month. That's a wide spread on the build, and it's wide for legitimate reasons: how many integrations you need, how much custom development gets written, how much of your catalog needs content work. All of that moves the number.
Multi-storefront and multi-brand work is supported, but it comes as a higher investment rather than a published incremental rate. Advanced search through HawkSearch is a paid add-on, not part of the base platform. Content enrichment is priced separately as its own service.
None of that is unusual for enterprise B2B commerce, but it does mean you can't estimate the total until you've been through a scoping conversation.

What we charge

We publish our rates. ToolSwift is $499 per store per month and $250 per additional location or online store. That covers a dedicated account manager, hosting, and uptime. If the site breaks, that's on us, not on you, to go find someone. Every CMS update ships to every client as it's released. Small changes, anything under about fifteen minutes of developer time, we just do. Anything bigger is $60 an hour. You also get direct access to the dynamic sections of your site if you'd rather make changes yourself.
Onboarding runs $5,000 to $15,000 total, depending on complexity, what you're integrating with, and how much of it is custom. If you want us to run your product data through our enrichment process, that adds some cost on top, but that's about the extent of it. If you're running something uncommon or built in-house, we'll conduct a feasibility assessment for free before we provide a quote.
We charge zero transaction fees. We never touch your money; you connect your own processor, and the funds settle directly to you.

The part I actually care about

What I care about here is how much work you have to do before you're allowed to know the number.
You can read our monthly cost on our website right now and decide within 2 minutes whether we're within your range. To find out what Unilog costs, you first go through discovery calls and a scoping process. And with three commerce products in the market, the opening question in that process is now which platform you're even being quoted, because Essentials, CIMM2, and Sigma aren't the same purchase.
Impact: The monthly gap is roughly 5-to-1, but the build number is where the real weight lies. A $15,000 to $60,000 implementation has to be defended internally, budgeted a year out, and justified against a payback horizon measured in years. That changes who in the business is even allowed to make the decision. It also changes what happens if the platform turns out to be wrong for you. I've watched dealers stay on software they'd outgrown for years, not because it was working, but because they couldn't stomach writing off what they'd already sunk into it.
The zero-transaction-fee piece compounds in a way that monthly comparisons don't show. When a platform takes a percentage of volume, its revenue goes up every time you sell more, which means you're paying the vendor more for the same software as you grow. Our cost is flat whether a location does $30,000 online or $3 million.
I'll be fair about the variable build cost, though. It's variable because Unilog does real custom development, and if your requirements are genuinely unusual, that work is worth something. The trade-off is that you can't know what you're spending until you're already weeks into the process.

The Retail Storefront Experience

Most of the businesses I talk to sell to two completely different people. There's the contractor placing his fourth order of the week, who knows his part numbers cold, and there's the person who walked in Saturday morning, not sure what a joist hanger is. They need opposite things from a website, and how a platform handles that split says a lot about what it was built for.

How Unilog approaches it

Unilog's model is a single site that personalizes content based on whoever's logged in. Customer-specific pricing and availability, account-based workflows and user hierarchies, customer-specific catalogs and landing pages, customer part number associations, all of it keyed to the account. Anonymous visitors get the public version; signed-in buyers get theirs.
For pure wholesale distribution, that's the correct design. When every customer is an account, personalization by login is exactly what you want, and Unilog does it thoroughly.
They also have real results to point to. McGuckin Hardware more than doubled web traffic and grew web sales more than thirteenfold year over year after Unilog rebuilt its online experience and improved pickup and delivery. That's a serious number, and I'm not going to pretend otherwise.

How we approach it

We built two front ends off one catalog. The retail storefront lives on your own domain and is built for walk-in and DIY buyers, with browsing, searching, product pages with real content, and checkout without a login requirement. The B2B dashboard is an entirely separate experience, which I'll cover in the next section.
The storefront is server-side rendered, so pages arrive fully formed rather than assembling themselves in the browser. That matters for how fast the site feels and for whether search engines and AI assistants can actually read your products, which I get into later.
Catalog depth is where this gets interesting. Beyond what's on your shelf, we can project products directly from an integrated distributor's DC, Orgill, Do it Best, Emery Jensen, and surface them as online-order-only items. Your online catalog is no longer limited by your building. We also offer product data enrichment as a service, cleaning up descriptions, specs, and imagery so the catalog is worth putting in front of a retail shopper.
Impact: A single personalized storefront asks a single interface to serve two buyers with nothing in common, and the compromise usually falls on the retail side. Pro-oriented design decisions, dense layouts, part-number-first search, pricing that only makes sense once you're logged in, quietly make the site worse for the homeowner who found you through Google and has no account and no intention of creating one. That customer is often the one bringing new revenue rather than repeat revenue, and they leave without telling you why.
The two-front-end approach means neither buyer is a compromise. The contractor gets a tool built for repeat ordering; the retail shopper gets a storefront that behaves like the consumer sites they already use. Same catalog, same inventory, same pricing engine underneath.
The catalog projection piece changes what a retail visitor actually finds. A shopper searching for something you don't normally stock hits a dead end and goes to a big-box site. Pulling that item from an integrated distributor's DC turns a lost sale into an order, and it means your search results reflect what you can get, not just what's currently on the racks.

The B2B Contractor Experience

This is the part that decides whether a commercial customer actually uses your site or keeps calling the counter. Contractors don't browse. They know what they want, they're buying the same forty items on repeat, and they're doing it from a truck with one hand while talking to a foreman.

How Unilog approaches it

Unilog's B2B list is long: account-based workflows with user hierarchies, multi-level approval chains, RFQ management, quick order pads, customer part number associations, buy-on-account, subscription ordering, invoice and statement views, sales rep customer management, punchout, a customer portal, and a mobile app.
That list is the accumulated output of a decade of customer requests across nine industries. Every item exists because someone asked for it, and it's shaped by who asked, procurement departments, approval chains, and buyers purchasing through their own systems. That's how a plant maintenance buyer or a hospital supply desk operates.
The account rules run against what your ERP can support. Where the ERP handles customer-specific, loyalty, or employee pricing, Unilog applies those rules. Where it doesn't, the capability is bounded by what the ERP can return.

How we approach it

We give commercial customers their own environment rather than a logged-in version of the retail site. The B2B dashboard is a separate interface with a native branded mobile app, built around repeat ordering.
Company accounts are multi-user and multi-location. A contractor's office manager, two foremen, and the owner sit under one account with different roles and permissions, who can order, who can order up to a limit, who sees pricing, and who approves. Account structure is configured to how you already do business rather than fitted into a template.
AR is live in the dashboard. Customers can view their balance, open invoices, and statements, and pay directly from the same interface. Payment links, invoice payment, and account-level credit applications. Credit limits and net terms flow through from your system.
Pricing supports tiered and customer-specific rates, customer- or product-specific quantity breaks, loyalty pricing, and employee pricing. Because we maintain our own pricing logic, a structure your ERP can't express is something we build on our side, not something you're told isn't possible.
Quoting runs across the dashboard and the mobile app, including AI-assisted quote-building from a photo, a voice note, a scan, or an uploaded file. That gets its own section later.
Impact: Long feature lists made sense when every capability had to be specified, scoped, and hand-built. The list was a proxy for how many years of development had gone in ahead of you.
But it's worth asking what those features were solving for, because most of them answer an information problem that no longer exists in the same form.
Take approval chains. A project manager orders $40,000 of material. Is it in the job budget? Is it the right spec? Is the pricing correct against the contract? Historically, nobody could answer those questions at the time of ordering, so businesses inserted a human checkpoint, routing every order through someone with sufficient context to catch mistakes. That checkpoint costs a day, and it costs it on every order, including the ninety-five percent that were fine.
A system with access to the job, the account's pricing, and two years of purchase history evaluates that order as it's placed. It knows this account has bought that item 40 times, that the price matches the contract, and that the quantity is in line with the job. It clarifies what's routine and surfaces what isn't, the order at triple the usual quantity, the spec that doesn't match anything on that job, and the item never bought on this account before. The exception goes to a person. Everything else goes straight to the yard.
Same control, inverted model: verify by exception rather than gate everything. The multi-level approval chain isn't the outcome anyone wanted; it's the workaround for not being able to check anything in real time.
That said, some approvals aren't verification at all. When a controller requires sign-off above a spend threshold, that's budget authority and audit trail, not error-checking, and it stays a governance requirement no matter how good the system is. We build those chains where businesses need them. The distinction worth drawing is between approvals that exist because someone chose them and approvals that exist because the software couldn't do better.
Punchout is a similar story. It exists so that a buyer inside their own procurement system can reach a supplier's catalog with contract pricing intact, machine-to-machine access, and standardized on cXML in the late 1990s. That need is real, and it hasn't gone away, and for enterprise accounts whose procurement policy mandates cXML punchout, meeting it isn't optional. We support that. Being API-first doesn't mean we only support modern protocols; it means the architecture is clean enough to support whatever a customer's systems require, including standards older than most of the platforms that implement them. What's changed is that cXML is no longer the only way to solve it; a catalog exposed through modern APIs and readable by AI purchasing agents serves buyers who never had a procurement system, as well as those who do.
That's the underlying point about integration generally. Legacy ERPs, EDI, flat-file exchanges, and in-house systems nobody has documented in fifteen years, none of that is beyond reach. We offer a free feasibility assessment for any uncommon or custom system before quoting, and we integrate with any ERP or POS, regardless of vintage.
So the question isn't whether a platform has these features. It's whether the workflow they encode reflects how your customers actually buy, and whether the platform can meet the ones that do while staying out of the way of the ones that don't. A feature set assembled across nine industries encodes an average of all of them. Your customers aren't average.
We built the contractor experience as its own interface for that reason, and nothing on the other side of this comparison sits beyond what that architecture reaches. The difference is that we shape the dashboard and the app around how your customers order rather than asking them to work inside a template built to serve everyone at once.
The pricing-logic difference matters more than it sounds. When account rules are bound by what the ERP returns, an older ERP quietly caps what you can offer online, and the fix is an ERP project, not a website change. Holding pricing logic in the commerce platform means your online capability isn't held hostage by a system you may not replace for years.

Content Management and Day-to-Day Control

Whoever ends up running your site after launch is probably not a developer. It's a marketing person, or an owner, or whoever got handed the login. How much friction sits between "we need a page for the spring promo" and that page existing determines whether your site stays current or goes stale by March.

How Unilog approaches it

Unilog's CMS has historically been the weakest part of the platform, and the criticisms that show up most consistently in reviews across years are a steep learning curve, a page designer who was hard to work with, and simple tasks requiring more steps than they should. Reviewers who liked the platform overall still flagged it. Several noted you needed real internal resources to get the most out of it.
Unilog knows this because Site Studio is a direct answer to it. In Sigma, you describe the page you want in plain language, or point it at a reference URL, and the platform generates a production-ready page with brand, structure, and SEO applied. It's a genuinely good idea, and it targets exactly the right problem.
The catch is where it lives. Site Studio is a Sigma feature, and Sigma launched in August 2026. CIMM2, the platform nearly every current Unilog customer runs, continues on its own roadmap. So the CMS you'd actually be working in depends entirely on which product you're buying, and those are two very different day-to-day experiences.

How we approach it

You manage content through a headless CMS and your store through the admin dashboard. Two tools, clearly divided: one for pages, copy, and merchandising content, the other for catalog, pricing, orders, and account management.
Headless matters here for a practical reason. Content isn't welded to page templates, so the same content can drive the retail storefront, the B2B dashboard, and the mobile app without being rebuilt three times. Update once, and it appears everywhere it belongs.
It also means you're not locked into our editing experience. If you'd rather build pages in a visual drag-and-drop editor that works natively with Next.js, we can connect your frontend to one. That path requires some technical know-how on your side, and it's not the default we recommend for most clients, but it's available to teams who want that level of control over how pages are built. Decoupling the frontend from the content layer is what makes that possible; a platform with a welded-together CMS can only offer whatever page builder it ships.
You also get direct access to the dynamic sections of your site, so routine changes don't require a ticket. Anything under about fifteen minutes of developer time, we just do, no charge, no process. Larger work is $60 an hour. And for the technical jobs that sit behind a project, our team handles that work rather than handing you a documentation link.
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Impact: The thing that kills a site isn't a missing feature, it's the accumulation of small changes nobody made. A price that's three months stale, a promo page still running in July, a product line added in the spring that never made it online. Every one of those is a five-minute job that didn't happen because the tool was awkward or the person who knew how to use it left.
That's why the split between content and store management is worth more than it sounds. A marketing person shouldn't need to understand catalog architecture to publish a landing page, and whoever manages pricing shouldn't have to navigate a page builder. Separating them means each person works in a tool scoped to their job.
The support model does the rest. Free changes under fifteen minutes sound minor until you consider what they remove: the internal debate about whether a small fix is worth the cost, which is why small fixes don't get made. Nobody weighs a five-minute change against a budget line. They just ask, and it gets done.
For Unilog, the question to ask directly is which CMS you're being sold. Site Studio is a strong answer to a real problem, but confirming whether it's available on the platform in your contract and what it costs to get onto the platform where it lives is a conversation worth having before signing, not after.

Catalog and Product Content

Product data is the thing everyone underestimates. A platform can be flawless and still fail if the catalog behind it is thin, inconsistent, or missing the specs a buyer needs to be confident they're ordering the right part.

How Unilog approaches it

This is Unilog's strongest ground, and it's worth understanding why. They started as a cataloging business in 1998 and only launched the commerce platform in 2014. The software grew out of the content operation, not the other way around.
That shows in the numbers. Unilog maintains a library of over 18 million actively managed SKUs available through content subscription, alongside CX1 PIM for managing your own data and a professional services team that does enrichment as billable work. For distributors whose product data lives in an ERP as a description field and a part number, that's a real gap that people do at scale.
Their buying group work is the sharpest example. Unilog built the Orgill Industry PIM, a catalog of Orgill and non-Orgill products, commodity wood, and new manufacturer items that Orgill dealers subscribe to for a catalog far larger than their shelves. They did similar work for Affiliated Distributors, building a master catalog of over 3.46 million enriched SKUs so AD members could compete nationally.
If your problem is that you have thousands of items with no usable data attached, Unilog has been solving exactly that problem for more than twenty-five years.

How we approach it

Our catalog runs on our own PIM, unified with pricing and commerce rather than sitting alongside them as a separate system. Product data, pricing logic, and catalog structure live in one place and sync in real time with your POS or ERP.
For catalog depth, we integrate with Orgill, Do it Best, and Emery Jensen, with more distributor integrations in progress. We can project products directly from an integrated distributor's DC and surface them as online-order-only items, inventory that isn't in your building, presented as available because it is. Your online catalog isn't bound by your physical stock, and it stays accurate because it reads live availability rather than a static file.
The bigger shift is in the source of product data. Manufacturer sites, spec sheets, distributor listings, and technical documentation that information is published across the open web, and modern AI methods can gather and structure it at a scale that used to require a content department. Where a field is genuinely missing, AI can infer it from comparable products and manufacturer documentation.
The step that makes it useful is matching. Gathered data is worthless until it's tied to the specific SKUs in your system, so we map it to your ERP or POS item file, part numbers, descriptions, and items. The output is your catalog with real content attached, not a generic library sitting beside it.
We also offer enrichment as a service for the parts that need human attention, priced as an add-on to onboarding.
Impact: For twenty-five years, enriched product content was scarce, and scarcity is what made a catalog library valuable. Building one meant employing people to collect, normalize, and maintain data across millions of SKUs, years of work, and real payroll. That investment is exactly why a subscription to someone else's library was the sensible move, and why those libraries became a durable advantage.
That scarcity is what's changed. The underlying information was always public; manufacturers publish it because they want their products described accurately. What was expensive was collecting and structuring it. When that cost falls sharply, a licensed catalog is no longer the only path to depth.
Which reframes what you're actually buying. A content subscription gives you access to a library that describes products in general, and it's licensed rather than owned, so it's worth asking what stays with you if the relationship ends. Data gathered and matched to your item file is your catalog: your SKUs, your descriptions, yours to keep.
The distributor integration handles the other half. Subscribed content tells a buyer what a product is; it can't tell them whether you can get it. DC projection means an item shows because it's in a warehouse right now, so someone searching for something you don't stock places an order instead of leaving.
The unified architecture underneath is what makes this work operational. When product data, pricing, and catalog live in one system, a page load doesn't require three systems to answer each other first. That shows up as speed in large catalogs and as a single source of truth, rather than a PIM, an ERP, and a storefront that all have opinions about the same SKU.

Search and Product Discovery

Search is where most B2B catalogs quietly fail. A buyer types what they call the product, the site returns nothing, and they call the counter instead, or they don't, and you never learn the sale existed. On a catalog of any size, search isn't a feature. It's the primary interface.

How Unilog approaches it

The CX1 platform runs on Solr, an established open-source search engine, with search configuration and analytics available to merchandisers.
For advanced search, Unilog added HawkSearch to their partner ecosystem, AI-assisted search, personalization, and merchandising, with product and non-product content indexed together and merchandising rules that apply without custom development. According to dealers, integration is still in alpha.
Two things follow from its structure. It's an add-on, priced separately from the base platform, so advanced search is a second purchase rather than something included with the base platform. And it's a CX1 CIMM2 integration, which raises the same question that runs through this comparison: what carries forward to Sigma, and what a customer on one platform gets versus the other.
Sigma's own approach is different again. Its findability agent tunes search relevance, synonyms, and AI visibility as part of the agent suite rather than through an external product. That's a cleaner design than bolting search on from a third party. It's also brand new.

How we approach it

Search is included, not an add-on, and it's the same for every client.
We run fuzzy Elastic search with metadata indexing, combined with AI for query interpretation. The practical difference is in what happens when someone doesn't search the way your catalog is written. Trade names, regional terms, misspelled part numbers, descriptions of what a thing does rather than what it's called, a keyword engine returns nothing for those. Semantic interpretation returns the right product.
That matters more the deeper your catalog goes. Once DC projection puts distributor inventory alongside your own stock, the catalog becomes far larger than a buyer could browse, and search becomes the only realistic way to navigate it.
Impact: Search quality determines what percentage of your catalog is reachable in practice. A dealer with 40,000 items online whose search only matches exact terms effectively has a much smaller catalog, because everything a customer can't phrase correctly is invisible. That gap doesn't appear in any report; failed searches leave no trace except a sale that didn't happen.
The commercial difference is that advanced search is included with our plan, whereas Unilog charges for it separately. That changes the decision from a capability question to a budget one, and budget questions get deferred. A distributor who defers advanced search for a year spends that year with buyers who can't find things.
The architectural difference is that our search reads directly from a unified catalog. When product data, pricing, and inventory sit in one system, search operates on all of it at once, including customer-specific pricing and live availability, rather than indexing one system while pricing and stock live in another.
On Unilog's side, the question worth asking early is which search you're being quoted, on which platform, at what cost, and when. HawkSearch on CIMM2, Sigma's findability agent, and baseline Solr are three distinct answers, and the difference between them is the difference between a catalog that buyers can navigate and one they can't.

Discoverability: Being Found by Search Engines and AI

A growing share of product research now starts inside an AI assistant rather than a search box. Someone asks where to buy a specific part near them, and the assistant answers from whatever it can read. Whether your catalog is in that answer comes down to two things most distributors have never been asked about.

The first layer: can AI crawlers reach you at all

Every site has a robots.txt file specifying which automated visitors are welcome. Traditional search crawlers have been in those files for twenty years. AI crawlers, GPTBot, ClaudeBot, PerplexityBot, Google-Extended, are new, and most robots.txt files predate them.
This is worth checking on whatever platform you're on, including ours. I looked at three live CX1 storefronts and found three different answers: one explicitly welcoming all major AI crawlers, one blocking them via a Cloudflare setting, and one allowing only three legacy search engines and denying everything else. Same platform, three unrelated policies. That's a configuration question rather than a platform capability, and it's one nobody gets asked during a sales process.
Our storefronts ship open by default, with only the API and customer portal paths closed. A client doesn't need to know that this problem exists to avoid it.

The second layer: Does your product page say what product it is

This is the one that matters more, and it's the one you can't fix with a config line.
On the CX1 storefronts I examined, product detail pages are indexed without product identity. Page titles come back as "No Data" or the generic site name. Descriptions are the same site-wide marketing line on every product. No product name, no price, no SKU is what a crawler receives.
Category pages render fully, full titles, facets, product counts, and even product names in the listings. So the data exists. It's specifically the product detail page, the canonical URL for that SKU, that arrives empty.
That happens even on the storefront with the AI-friendly robots.txt. Crawler access granted, product identity still missing.
Here's what it looks like in practice. I asked an AI assistant to find a specific pond clarifier at one of these retailers. It confirmed that the retailer carries it by reading the category and brand pages. It couldn't return a price or availability. And it pulled the actual product specifications from Amazon.
A customer asked where to buy something, an AI confirmed the local retailer stocks it, then described the product using a competitor's data, and couldn't say what it cost.

How we approach it

Every page is server-side rendered, so a product page arrives complete on first request, name, price, description, specs, rather than assembling itself in a browser after the fact. A crawler that doesn't execute JavaScript, which describes most AI crawlers, still gets the full product.
Sitemaps are dynamic, so new products and categories become discoverable as they're added, rather than only when someone regenerates a file.
And we've implemented the Universal Commerce Protocol, a standard for exposing a catalog directly to AI shopping agents as structured, queryable data, product, pricing, and availability that an assistant can act on, rather than text it has to interpret from a page.
Impact: There are three gates between your catalog and an AI's answer, and each one only matters if you've cleared the one before it. Crawler access is the first, and it's a settable line in a file. Product pages that identify their products are the second, and that's architectural. Structured data that an agent can query is the third, and almost nobody is there yet.
The middle gate is where the damage is quietest. A product page indexed as "No Data" isn't visibly broken; the site works, customers buy things, nothing looks wrong. But that page cannot rank for the product it sells, and an assistant asked about that item finds nothing usable on it. Multiply by a catalog of forty thousand items, and the loss is real and entirely invisible in any report you'd normally look at.
The competitive risk is greater than the loss of ranking. When an AI can confirm you stock an item but has to describe it using a competitor's product data, that competitor is now in a conversation about your inventory. The customer asked about you.
None of this is static. AI-driven discovery is changing quarter to quarter, and Unilog is clearly aware of the problem. Sigma's findability agent and its SEO and GEO handling are built for exactly this, and a new rendering foundation is the right place to fix it. The question for anyone evaluating them is whether those capabilities are on the platform being quoted or on the one that launched in August 2026.

AI: Agents That Run the Store vs. AI That Serves the Buyer

Both of us are betting on AI, and we've bet on different things. Worth laying out plainly: the difference isn't marketing; it's a genuine split in who the technology is aimed at.

How Unilog approaches it

Unilog's bet is operator-facing. CX1 Sigma launched in August 2026, built around what they call the HyperScale Growth Agent Suite, AI specialists aimed at the work of running digital commerce rather than buying.
The lineup is organized around how distributors grow. Marketing and findability agents keep the business visible in search and AI discovery. Catalog agents enrich product data and maintain taxonomy. Merchandising agents suggest bundles and cross-sells. Customer success agents handle onboarding. An order concierge covers quotes, reorders, and fraud detection. Integration agents manage connections and punchout. Site Studio builds production-ready pages from a plain-language description or a reference URL. Site health monitoring detects and resolves routine issues before a customer notices. Every agent action is previewed and logged in an audit trail before going live.
Their CEO framed the shift as moving from logging into software to do work, toward expressing intent and having the software do it.
The diagnosis behind this is correct and worth stating clearly: distribution teams are small, catalogs are large, and the manual work of keeping product content accurate, search relevant, and pages current does not scale with headcount. Aiming AI at that problem is a legitimate strategy, and the audit trail on agent actions shows real thought about the trust problem.
The caveat is the same one that runs through this comparison. The agent suite is a Sigma capability, launched in August 2026, and the first named implementation was still in progress at launch.

How we approach it

Our bet is buyer-facing. The AI on our platform is designed for the person placing the order, not the person maintaining the site.
Assist AI, currently in testing, builds quotes from whatever a customer already has. A photo of a materials list. A voice note. A scanned takeoff. A PDF or spreadsheet. It reads the input, matches items against your catalog and pricing, and produces a quote foundation from the contractor dashboard or the mobile app.
The second piece is discoverability, covered in the last section: server-side rendering plus Universal Commerce Protocol so AI shopping agents can query your catalog directly when a buyer asks an assistant where to purchase something.
The third is the search layer, with hybrid exact and semantic matching, so a buyer finds the right product whether they know the part number or describe what they're trying to do.
Impact: Operator-facing AI reduces your cost to run the channel. Buyer-facing AI reduces your customers' cost of using it. Both are real returns, and they show up in different places.
Agent automation pays off in staff hours saved, content that maintains itself, pages built without a developer, and issues resolved before anyone files a ticket. That's a margin improvement, and for a distributor with a two-person digital team, it can be the difference between a site that stays current and one that doesn't.
Buyer-facing AI pays off in orders that would otherwise have been handled by phone. When a customer can send a photo of a materials list and get a quote back, the friction that sends them to the counter instead of the site disappears. That shows up as channel adoption, and channel adoption is what makes every other digital investment worth having.
The ordering matters. A perfectly maintained catalog that customers still phone in orders against hasn't changed the economics of the business. Automating the upkeep of a channel nobody uses optimizes the wrong end.
The honest reading is that these strategies converge; we'll keep building operator-side automation, and Unilog will keep building toward the buyer. What differs today is which end each platform started from and how much operating history lies behind each bet. Assist AI is in testing. The agent suite is weeks old, with its first implementation underway. Anyone being sold AI capabilities by either of us should ask what is shipping now, what is in testing, and what is on the roadmap, and get the answers in writing.

Quoting

Quoting is where most B2B commerce platforms hand the work back to your staff. A customer submits a request, it lands in someone's inbox, and a human rebuilds it line by line against the catalog. The platform captured the request; it didn't do the quote.

How Unilog approaches it

Unilog supports RFQ management as a core B2B capability. A customer submits a request for a quote through the site, it enters a managed workflow, and your team responds. When combined with account-based pricing, quick order pads, and customer part number associations, a buyer can efficiently assemble a request, and your staff can price it under the right terms.
Sigma adds an order concierge agent covering quotes, orders, reorders, and fraud detection. That's the direction the whole category is heading, and it's aimed at the right bottleneck. As with the rest of the agent suite, it's on the platform that launched in August 2026 rather than the one most customers are running.
The structural point about RFQ management is that it organizes the request. Someone still builds the quote.

How we approach it

Quoting runs through both the contractor dashboard and the mobile app, and customers manage their own quote history natively in each, past requests, statuses, and previous quotes without emailing anyone to ask.
Assist AI, currently in testing, takes the input a customer already has rather than requiring them to translate it into your catalog first. A photo of a handwritten materials list. A voice note dictated from a truck. A scanned takeoff. A PDF or spreadsheet from an estimator. It reads the input, matches line items against your catalog and that customer's pricing, and produces a quote foundation.
The matching is the hard part and the part worth understanding. A contractor's list says "2x6-16 PT" or "1/2 CDX", trade shorthand, not your SKUs. Interpreting that against your catalog, with that account's pricing applied, is what separates a quote foundation from a transcription.
Impact: The cost of quoting is measured in two places, but most platforms address only one.
Your side is staff hours. Someone reads a request, finds each item, checks pricing, and builds the document. On a material list of sixty lines, that's most of an hour, and it happens while three other customers wait. RFQ management makes that work organized. It doesn't make it smaller.
Your customer's side is delayed. A contractor needs a number to bid a job, and the gap between sending a list and receiving a quote is time they can't act. If your turnaround is a day and someone else's is an hour, you lose bids you never knew you were in.
Generating the quote foundation from the customer's own input compresses both. Your staff reviews and adjusts rather than building from scratch, and the customer gets a number back in a timeframe that keeps them from calling elsewhere.
The input flexibility matters more than it sounds. The reason quoting stays on the phone isn't that contractors prefer phones; it's that the list in their hand doesn't match the format the website wants. A photo of a scrap of paper is the actual artifact. Accepting it as it exists removes the translation step that sends people back to the counter.
Both platforms are moving toward the same place. Ours is in testing, theirs is weeks old. Anyone comparing us on quoting should ask for a live demonstration with their own materials list rather than a feature description; that's the test that separates a shipped capability from a roadmap item, and it applies equally to both of us.

Shipping and Delivery

Delivery is where building materials and hardware diverge sharply from the general e-commerce landscape. A pallet of block, a bunk of lumber, and a box of fasteners are three different fulfillment problems, and only one of them fits in a parcel carrier's rate table. Most platforms handle the third case well and improvise on the first two.

How Unilog approaches it

Unilog supports shipping integrations as a standard part of the platform and can connect to delivery routing in your ERP, so dispatch decisions made in the system your yard already runs carry through to the site. They can also support delivery quoting within the commerce platform itself.
That ERP-connected approach is the right instinct; your routing logic, delivery zones, and truck capacity already live in your operational system, and duplicating them in a storefront creates two sources of truth. The practical consequence is the same one that recurs throughout this comparison: what you can offer a customer online is shaped by what your ERP can express and return. A yard running a modern system with real routing capability gets a lot from this. A yard running something older gets less, and the fix is an ERP project.

How we approach it

Delivery pricing is configured on an interactive map. You draw your actual delivery radius and set pricing by zone, matching how your yard really charges rather than approximating it with weight tables or flat rates. Zones reflect the geography your trucks actually run.
Parcel runs through third-party integration with providers like Shippo for rate shopping and label generation, so the small-package side is handled without pretending a box of screws and a unit of drywall are the same problem.
Drop-ship fulfillment comes directly from integrated distributor DCs, Orgill, Do it Best, Emery Jensen/Ace, which is the delivery side of the catalog projection covered earlier. An item you don't stock can ship to the customer from the distributor without touching your yard.
BOPIS and curbside pickup run alongside scheduled delivery, so you can offer whichever mix best fits your operation rather than committing to a single fulfillment model.
Because the delivery logic lives in the commerce platform, what you can offer online isn't capped by what your ERP supports. If your system doesn't handle zone-based delivery pricing, you can still offer it.
Impact: Delivery pricing is where many online orders quietly die. A contractor puts twelve items in a cart, reaches checkout, and sees a freight number calculated by a parcel algorithm that has never seen a bunk of lumber. They abandon and call the counter, and you've paid for a storefront that routed a customer back to the phone.
Zone-based pricing drawn on a map matches how yards actually think about delivery; it's not about weight, it's about how far the truck goes and how much of the day it takes. Getting that right at checkout is the difference between an order completing and a customer deciding the website doesn't understand their business.
The three fulfillment paths matter because your catalog isn't uniform. Parcel for small goods, your own trucks for material, drop-ship for the long tail, you don't stock. A platform that only does one thing forces everything else off the site.
The architectural difference is the same one that shows up in pricing and account rules: when delivery logic lives in the commerce platform, your online capability isn't bound by what your ERP can express. Connecting to ERP routing is genuinely valuable when the ERP is capable. When it isn't, you want the platform to do the work itself rather than telling you that the limitation is upstream.

Payments

Payments is one of the few areas in a platform comparison where the difference is measurable in dollars rather than workflow, and where the details buried in a contract matter more than anything on a feature page.

How Unilog approaches it

Unilog supports payment gateway integration as a standard platform capability, alongside pay-on-ERP credit and pay-by-purchase-order. Card processing runs through the dealer's own processor via Authorize.net or Payflow.
That's a reasonable structure. You keep your merchant account and your relationship with your processor, and the platform connects to it. Combined with account credit and PO payment, it covers the three ways commercial customers actually pay.
The constraint is gateway choice. Authorize.net and Payflow are established and widely supported, but they're two specific gateways. If you're already on Stripe, Square, Clover, or a processor your bank set you up with, the question is whether it's supported or whether switching is part of the implementation.

How we approach it

We're gateway-agnostic. You connect whatever processor you already use, Stripe, VersaPay, Clover, Square, and keep the rate you've already negotiated.
Funds never touch us. Money moves from your customer to your processor to your account. We're not in the flow, we don't hold a balance, and there's no settlement delay introduced by the platform.
We charge zero transaction fees. Not a reduced rate, no percentage of volume at all. Our revenue is the monthly platform fee, regardless of whether a location processes 30,000 or 3,000,000 in online transactions.
On the account side, net terms, credit limits, and AR balance visibility flow through from your system, with invoice payment, payment links, and account-level credit applications available in the customer dashboard.
Impact: Two things are worth separating here, because they're often conflated in sales conversations.
The first is whether the platform takes a cut of your volume. Ours doesn't. When a platform's revenue scales with your sales, you're paying more for identical software every year you grow, and the compounding is easy to underestimate; a percentage point on meaningful online volume can exceed the entire platform fee within a couple of years. Worth calculating against your actual projected volume rather than accepting a rate as normal.
The second is whether you keep your processor. Switching gateways isn't just a technical task. It means renegotiating rates, possibly opening a new merchant account, revalidating stored payment methods, and reconciling to a different settlement schedule. If a platform requires a gateway you're not on, that cost belongs in your implementation estimate rather than being discovered afterward.
The funds-flow question is the one nobody asks and everybody should. If a platform sits in the payment path, your money moves on their schedule and, in the worst case, is exposed to their solvency. Money going straight from your customer to your processor removes that entirely.
Worth asking any vendor, us included: do you take a percentage of transactions, which gateways do you support, and does money ever sit in an account you control? Three questions, and the answers should be immediate.

Mobile App

Both platforms ship a native mobile app, so this isn't a question of whether one exists. It's a question of what the app is built to do and who it's built for.

How Unilog approaches it

Unilog includes native iOS and Android apps as part of the platform, and they're genuinely in market. Dixieline's Android app is published under Unilog's own package namespace, so it is real and shipping, not just a roadmap item.
The design follows the platform's broader model: a mobile extension of the personalized storefront. A buyer signs in and gets their pricing, account, and catalog on their phone. For a distributor whose customers are all account holders, that's a coherent approach, and having a branded app at all puts Unilog ahead of many platforms in this space.
The app inherits the same structural choice as the website. It's one experience serving whoever logs in, rather than a separate tool built for a particular kind of buying.

How we approach it

Our app is the contractor dashboard on a phone, not the storefront. Same architectural split as the web experience, the retail storefront, and the B2B environment are different products, and the app is the B2B one, branded to the dealer.
That means it opens up the things a commercial customer needs in the field. Reorder from history. Account balance and open invoices. Quote requests and quote history. Order status. Approvals where the account is configured for them.
Quoting works from the app directly, which is where the input flexibility matters most. A photo of a materials list, a voice note, a scanned takeoff, captured on the phone that's already in the customer's hand, on the jobsite, at the moment the need exists. That's the workflow the app is designed around, rather than an afterthought bolted onto a mobile catalog.
Messaging runs natively across both the web dashboard and the app, so a conversation about an order continues in the same place, regardless of which platform the customer uses.
Impact: Phones get used differently than desktops in this trade, and the difference isn't screen size. A contractor on a laptop is planning. A contractor on a phone is standing somewhere specific, needing one thing, with a limited window to get it.
That shapes what belongs on the first screen. A mobile catalog is designed for browsing; browsing is not what happens on a jobsite. Reorder history, account balance, and a way to send a materials list are the three things used, and how many taps it takes to get to them determines whether the app survives on the phone past the first month.
The quoting capture is the piece that changes behavior the most. The reason quotes stay on the phone is that the list in a contractor's hand is a photograph of a paper document, not a structured order. An app that accepts it in that form removes the step where they give up and call. An app that requires them to find each item in a catalog does not.

Implementation Timeline and Complexity

How long a platform takes to launch tells you something about how it's built, but the timeline alone is a bad way to judge it. Fast and wrong is worse than slow and right. What matters is what the time is buying.

How Unilog approaches it

Unilog runs a deliberate, thorough implementation focused on long-term business outcomes. Discovery, scoping, integration work, content preparation, custom development where the business needs it, testing, and launch. The process is designed to align the platform with how a business actually operates before it goes live.
That's a real strength, and worth saying plainly rather than framing every long timeline as a negative. If your requirements are genuinely unusual, complex account hierarchies, unusual pricing structures, integrations nobody has built before, a catalog needing serious content work, that time is being spent on something. Rushing that class of implementation produces a launch that technically happened and a platform nobody uses.
They also have professional services and implementation partners, including a full-service partner for end-to-end delivery. For businesses that want the work done rather than managed, that capacity exists.
The trade-offs are the ones any long implementation carries. Timeline uncertainty is real when the scope is variable, and the scope is variable by design here. The build cost scales with that scope, which is why it lands between fifteen and sixty thousand. And a longer runway means more time between signing and the first online order, which is time your competitors are already selling.

How we approach it

We launch in three to four weeks for a confirmed integration, or in six to ten weeks for a custom integration. Those aren't optimistic estimates; they're what we quote and schedule against.
The first number is short because the confirmed integrations are already built. Spruce, BisTrack, Eagle, Profit Master, PRISM, Paladin, CashierPro, QuickBooks, NetSuite, Ogasys/Acceo, those connections exist, so an implementation is configuration and data work rather than new engineering.
The six-to-ten-week range covers building an integration that doesn't exist yet, including in-house and uncommon systems. We offer a free feasibility assessment before quoting, so you know whether your system is workable before you've committed.
Multi-location is additive rather than a new project. The platform is a single instance with a shared catalog and location-specific inventory and pricing, so a second or third location is a configuration rather than another build.
Impact: The timeline difference is real, but the more useful question is what happens after launch, because that's where the two models diverge more than the calendar suggests.
A long, custom implementation front-loads everything. You specify what you need, it gets built, and you go live with a platform shaped to that specification. Changing it later means going back to the same process. A shorter launch on a configurable platform means going live sooner with something less bespoke, and adjusting once you can see what customers actually do, which is usually different from what anyone predicted in discovery.
There's a cost to the long path that doesn't show up in the project plan. Every month before launch is a month of orders still going through the counter, and of whatever your competitors are doing online. On a six-month runway, that's half a year of channel adoption you don't get back.
Neither model is universally right. If your requirements are genuinely complex and you need them met precisely before launch, a thorough implementation is the correct choice, and the time is well spent. If your requirements are more typical than the sales process implies, and for most distributors they are, a long implementation is spent months confirming that.
The question worth asking any vendor is what specifically the timeline is for buying, item by item. If the answer is integration work and content preparation, that's substantive. If a meaningful part of it is configuring things that could be configured after launch, that's runway you're paying for twice.

The Bottom Line

I've spent this article arguing for our platform, so let me be straight about where I think Unilog is the better answer.
If your product data is the actual problem, thousands of items with a part number and a twelve-character description and nothing else, Unilog has been solving that since 1998 and does it at a scale almost nobody matches. If your requirements are genuinely unusual and you want them built precisely before you go live, their development model does that, and their implementation process is built around it. If your customers buy through procurement systems with approval chains and punchout as a contractual requirement, that toolset was built for exactly those buyers over more than a decade. And if you're a larger operation with the budget for a fifteen-to-sixty-thousand-dollar build and the internal resources to run a long implementation, that model can work well.
Those are real strengths, and I'd rather name them than pretend a competitor has none.
Here's where I think we're the better answer.
If you want to know what something costs before you spend three weeks finding out, our pricing is published. If a five-to-one difference in monthly cost and a build cost measured in thousands rather than tens of thousands changes what's possible for your business, that's a different conversation about what you can afford to try. If you want to be selling online in a month rather than after a long discovery process, we can launch in three to four weeks on a confirmed integration.
If you serve both retail and commercial customers, the dual-experience model means neither one is a compromise. If your online growth depends on being found by search engines and, increasingly, by AI assistants, server-side rendering, dynamic sitemaps, and the Universal Commerce Protocol are an architecture rather than an add-on. If you'd rather your customers send you a photo of a materials list than call the counter, that's what our AI is pointed at. And if you don't want a platform taking a percentage of every order, we don't.
There's one thing I'd want to understand before signing with Unilog, regardless of anything I've written, and it isn't a criticism of their product.
They're selling three commerce platforms right now. CIMM2 is mature and is what nearly every current customer runs. Sigma launched in August 2026 on a different foundation, with the first named implementation still underway. Essentials is the entry tier. Unilog has been clear that Sigma is not an update to CIMM2; it's a new platform, and the AI agents, the modern CMS, and the AI-visibility work all live there.
So, a business signing this quarter is choosing between a platform whose successor has already been announced and one that is weeks old. Ask which one you're being quoted. Ask what moving to Sigma later involves, whether it's an upgrade, a migration, or a new implementation with a new build cost. Ask which capabilities in the demo exist on the platform in your contract. Get those answers in writing before the build cost is spent, because a large sunk implementation cost determines your leverage for the next several years.
We sell one platform. One codebase, one roadmap, every client on every update as it ships, month to month, with no minimum term. If we stop earning it, you stop paying. That's not a feature, it's just the shape of the relationship, and I think it's the honest way to sell software.
If you want to see the difference for yourself, the quickest option is to book a live demonstration. We'll display your own catalog, your ERP system, and a real contractor order on the platform so you can see how it works. To request a demo, click 'Book a Demo'. We typically reply within one business day to confirm details and tailor the demo to your needs.

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