E-commerce platform development
Most e-commerce platform services stop at "does the store work." Products load, carts fill, payments clear. What they don't do is notice the customer who's about to abandon that cart, the search query that's about to return nothing useful, or the fraud pattern that only shows up when you're looking for it. Clay TechSystems builds e-commerce solutions where noticing isn't a future roadmap item. It's part of the architecture from day one.
E-commerce development services, e-commerce solutions, and e-commerce platform services: one build, one team, one platform that gets smarter with every order it processes.
None of these are UI problems. They're architecture problems — and they're exactly what separates a store that was built to launch from one that was built to compound.
The cart
Cart abandonment isn't a checkout problem. It's a blind-spot problem. By the time a customer abandons, the moment to intervene has already passed. A platform that only logs the abandonment after the fact has already lost the sale.
The search bar
"No results found" on a product search is a sale that walked out the door because the catalog couldn't understand what the customer actually meant. A query like "waterproof jacket under 3000" should resolve to products, not to a dead end on the first word that doesn't match a title.
The payment
A single suspicious transaction is easy to catch by eye. A pattern spread across geography, timing and amount thresholds isn't — not without something built to watch for exactly that shape. That watching has to live in the architecture, not in a spreadsheet someone opens on Monday.
Clay doesn't push one platform because it's the only one we know. We build on the stack that actually fits your catalog, your margins and your growth stage, with an intelligent application architecture layered on top of all three, not bolted onto one.
Adobe Commerce
Catalogs with real complexity
Multi-site management from a single admin, built-in SEO and promotional tooling, and the ceiling to keep scaling instead of hitting a wall at year two. Clay's Magento 1 and 2 developers build custom solutions engineered for ROI, not just for launch.
Speed without a backend team
Brands that need to move fast
Cost-effective administration, deep social commerce integration, and room to expand functionality as the business grows without a replatform. The store can change without a developer standing behind every edit.
Open source, and capable of it
Migration without a rebuild
WooCommerce now powers roughly a quarter of the world's top million e-commerce sites. Clay's WooCommerce builds make migration from another platform straightforward rather than a rebuild from zero.
Whichever platform fits, the storefront is the part the customer sees. The intelligence layer underneath it is the part that decides whether they come back.
This is the section most e-commerce vendors either skip or overclaim. Here's the honest version: where AI is already proven inside Clay's delivery work, and where it plugs directly into commerce.
None of this is a claim that every storefront ships with a chatbot. It's a claim that the underlying AI architecture — pattern detection, natural-language querying, workflow tracing — is already proven inside Clay's delivery work, and commerce is one of the most direct places to point it.
01 · Already shipped
A telecom analytics chatbot
Clay built an AI-powered analytics chatbot for a telecom client so the business could ask questions in plain language instead of filing a report request. The same principle applies directly to product search: a catalog that understands "waterproof jacket under 3000" instead of choking on the first word that doesn't match a title exactly.
02 · Already shipped
Rule-based fraud detection for a bank
Clay has built rule-based fraud detection for a banking client — a pipeline that flags suspicious transactions against thresholds like transaction velocity, geography spread and amount structuring, then routes them for investigation instead of manual review. The same logic, applied to checkout data, is what modern payment fraud prevention in e-commerce needs: not a single red flag, but a pattern the system was built to notice.
03 · Already shipped
A prompt-driven workflow assistant
Clay has built a prompt-driven AI assistant that traces exactly where a stuck multi-step process is blocked and routes the right person to fix it. Applied to commerce operations — order fulfilment stuck at a warehouse step, a payment stuck in reconciliation — the same architecture turns a support ticket into an instant answer.
Cart
A cart engineered to reduce friction at the exact point customers drop off, not just a checkout form with a total at the bottom.
Pay
Secure, PCI-conscious integration that clears transactions cleanly and flags the ones that shouldn't clear at all.
Extend
Extending what your platform can do instead of accepting its defaults as a ceiling.
Find
SEO-optimized from the template level, not retrofitted after launch. Lower cart abandonment and stronger conversion aren't a redesign away. They're a build decision.
Fit
Every one of the above tailored to your actual catalog, margins and operational constraints — not a theme with your logo on it.
Shahnaz Hussain
Shahnaz Hussain — one of India's best-known cosmetics and FMCG brands — needed an e-commerce platform that could carry national retail volume without the fragility of a smaller-scale build. Clay delivered the launch on Magento Commerce Cloud, built for the catalog complexity and traffic a household name actually generates.
Read the case study →Proprep
Proprep needed more than a storefront — a full end-to-end platform to sell and deliver STEM education online. Clay built the platform spanning both the commerce layer and the content-delivery experience around it.
Read the case study →It depends on catalog complexity and growth stage more than brand preference. Magento suits complex, multi-site catalogs. Shopify suits speed without a backend team. WooCommerce suits open-source flexibility and easier migration. Clay will recommend based on your actual numbers, not a default answer.
Migration planning is built around minimizing live-storefront downtime, with a rollback path defined before a single record moves — not figured out mid-migration.
Every build gets the intelligent application architecture as a foundation. Which specific AI capability sits on top of it — fraud pattern detection, intent-based search, workflow tracing — depends on what your commerce operation actually needs, not a fixed package.
A platform that isn't maintained degrades. Plugin updates, security patching, performance tuning and the ongoing tuning of whatever AI layer you've added all continue past go-live. They don't stop at it.
Tell us your catalog, your platform preference (or lack of one), and what "converting better" would actually look like for your numbers. We'll tell you honestly what it takes to get there.
