One version of stock, orders and the customer — however many places you sell
Most retail technology problems are really disagreement problems. The warehouse, the shop floor, the website and three marketplaces each hold their own version of what is in stock and what the customer bought, and none of them match. We build the layer that reconciles them, then work on the numbers that actually move margin — conversion, return rate and repeat purchase — rather than pouring more paid traffic into a leaking funnel. Across our retail work that has meant sales up by around 65%, retention improved by 40%, and storefronts that hold high availability through peak trading.
What retail & e-commerce teams are actually up against
Stock that disagrees with itself
One channel oversells, another pads safety stock to avoid the same embarrassment, and both decisions cost money. Without a single stock ledger and clear allocation rules, ship-from-store and click-and-collect stay theoretical — you cannot promise inventory you cannot see in real time.
Channel sprawl outgrowing the ops team
Amazon, eBay, TikTok Shop, a wholesale portal and your own site each want different listings, pricing rules, fulfilment SLAs and returns handling. Teams end up managing it in browser tabs and spreadsheets, and every new channel adds headcount instead of margin.
Returns are a margin problem, not a logistics one
In categories like apparel, a fifth to a third of units come back. The cost sits in refunds issued before goods are inspected, stock stranded in reverse logistics for weeks, and no per-SKU view of what returns do to contribution. Very few retailers can name their worst products by margin after returns.
Measurement after third-party cookies
Your ad platforms collectively claim more conversions than your P&L recorded, and last-click attribution now flatters whichever channel reports most aggressively. Rebuilding measurement means server-side event collection, consented first-party identity, and holdout tests that show real incrementality rather than credit-claiming.
Replatform risk versus platform lock-in
All-in-one suites are fast to start and slow to bend; composable and headless architectures bend easily and hand you the integration bill. The honest answer usually depends on how unusual your merchandising and fulfilment rules are — and we will say when your current platform is fine and the problem is elsewhere.
How we answer those problems
Unified inventory & order management
One stock ledger across warehouses, stores and channels, with reservation, allocation and sourcing rules you control. Orders route to the location that protects margin and delivery promise, and click-and-collect, ship-from-store and endless-aisle stop being pilots that never scaled.
Storefronts, headless or otherwise
Custom front ends on Shopify, commercetools, Magento or a headless stack, built for Core Web Vitals and checkout conversion rather than for a redesign screenshot. We instrument the funnel before we change it, so the effect of every release is visible in revenue per session.
Marketplace & channel integration
Listing, pricing, stock and fulfilment synchronised across marketplaces and retail partners, with per-channel business rules and a single exception queue. Adding the next channel becomes a configuration exercise instead of another full-time job.
AI product discovery & merchandising
Semantic and vector search that understands intent rather than keyword overlap, attribute enrichment across messy supplier catalogues, and recommendations tuned to margin as well as click-through. Where a well-tuned ranking rule beats a model, we ship the rule.
Returns & reverse logistics tooling
A self-service returns portal, disposition rules that get sellable stock back on sale quickly, exchange-first flows that retain revenue, and serial-returner detection. The reporting ties return rate back to product, size, image and description so merchandising can act on it.
Retail data platform & measurement
Consented first-party customer data, server-side event collection, and reporting that reconciles ad platform claims against actual orders. Includes cohort and lifetime-value analysis, promotional margin reporting, and clean data for retail media and supplier funding conversations.
Regulatory context
These regimes shape what can be built and how data moves. We design to them from the first architecture conversation, rather than retrofitting controls once something is already live.
Services we bring to retail & e-commerce
Building, replatforming and running online stores — with most of the effort aimed at the traffic you already pay for rather than at buying more of it.
Software built around how your business actually works — not bent to fit somebody else's product roadmap.
A warehouse, tested transformations and one agreed definition of every metric — so the number in the meeting stops being an argument.
Search answers before it links now. We build the visibility, data and measurement that turn attention into qualified pipeline — not a traffic chart.
iOS and Android apps built to survive store review, OS upgrades and the second month — when most apps quietly lose their users.
Retail & E-commerce questions, answered
Last updated: August 31, 2026
Usually not. Most of the pain we are asked about — overselling, manual marketplace work, unusable returns data — sits in the order and inventory layer, not the storefront. Putting an order management layer between your channels and your back office fixes it without touching the platform your team already knows. Replatforming is worth it when the platform genuinely blocks your merchandising or fulfilment model, and we will tell you which case you are in before you commit to a year of work.
Tell us where the numbers stop agreeing
The stock figure nobody trusts, the marketplace someone updates by hand, the return rate finance cannot explain. An hour with your team is usually enough for a straight answer on what to fix first and what to leave alone.
Discuss your retail project