Software that runs the back of house, so the storefront just works.
Custom order management, AI agents, and integration platforms for retailers, D2C brands, and omnichannel operators. Built for the volume and velocity of real commerce, not generic SaaS plugins stacked on a template.
Three things eating into retail margin.
Fragmented channels
Web, marketplaces, retail, and 3PL each run on their own stack. Inventory drifts, orders double-book, and customers see one price online and another in store. Reconciliation eats hours that should be spent on growth.
Manual operations work
Catalog updates, returns, fraud reviews, and customer service tickets pile up faster than headcount can scale. Most of it is repetitive, rule-driven work a system should own. Teams spend their day on tasks software could close in seconds.
Disconnected platforms
Shopify, NetSuite, the 3PL portal, and the marketplace dashboards all hold pieces of the truth. Orders, inventory, and customer data move through CSVs and brittle middleware. Every new channel makes the tangle worse.
Three systems we build for every commerce operation.
Cleaner operations,
better margin control.
Aggregate impact across recent commerce platform, agent, and integration deployments. Specific projects scoped on request.
Got a commerce workflow that should be a system?
Straight answers.
Yes. We build integrations with Shopify, BigCommerce, custom platforms, and marketplace APIs for Amazon, Walmart, and Target+. We also build headless commerce frontends that connect to your existing backend via API — giving you full control over the customer experience without re-platforming.
We design architectures for peak volumes, not average Tuesday traffic. Auto-scaling, caching strategies, CDN configuration, and performance optimization are built into the foundation. We load test against realistic peak scenarios before launch — not after things start falling over in November.
Most platform recommendation engines use basic collaborative filtering — 'customers who bought X also bought Y.' Our models incorporate purchase history, browsing behavior, category affinity, price sensitivity, seasonal patterns, and real-time session context. We've seen recommendation-driven revenue increase from under 2% to over 12% of online sales.
Yes. We build real-time inventory orchestration systems that process POS transactions, e-commerce orders, warehouse movements, and marketplace updates as they happen — maintaining a single, accurate available-to-promise quantity across all channels. This eliminates oversells and the daily manual reconciliation process.
A focused project — like a recommendation engine or inventory sync — typically takes 8–12 weeks. A full omnichannel platform with personalization, inventory orchestration, and multi-marketplace integration takes 4–8 months. We scope based on actual requirements and integration complexity, not generic estimates.
Yes. Our conversational AI systems resolve 60–70% of tickets without human intervention for common inquiries — order status, returns, product questions. The remaining tickets are routed to agents with full context and recommended responses. VIP customers can be escalated directly to senior support. Quality improves because response times drop and agents focus on complex issues.
Ready to talk about your project?
Whether it's building a personalization engine, unifying your inventory across channels, or automating customer service — tell us what you're trying to solve.