Software and AI for the speed
of modern commerce.
Retail doesn't wait. A customer who can't find what they want in 3 seconds leaves. A stockout during peak season is revenue you'll never recover. A competitor who personalizes better wins the repeat purchase. The technology behind modern retail needs to move at the speed of consumer behavior — and most of it doesn't.
We build custom retail software, e-commerce AI systems, and data platforms for retailers, e-commerce companies, D2C brands, and omnichannel operators. As a retail and e-commerce software development company, we engineer systems for the volume, velocity, and personalization demands of modern commerce — not generic platforms that treat every retailer like they sell the same way.
A tangle of subscriptions, plugins, and duct-tape integrations that treat every retailer the same.
- —Inventory doesn't sync across channels in real time
- —Customer data in six systems, none complete
- —"AI personalization" that recommends the same products to everyone
Unified data, intelligent automation, and custom tools designed for how your business actually operates.
- Real-time inventory across all channels
- Single customer profile across every touchpoint
- Personalization that actually converts
The problem with
retail technology.
Retail technology stacks have become a tangle of SaaS subscriptions, platform plugins, and duct-tape integrations. Your e-commerce platform doesn't sync inventory with your brick-and-mortar POS in real time. Your marketing automation tool sends promotions for products that are already out of stock. Your customer data lives in six different systems and none of them have the complete picture.
The result: customers get inconsistent experiences across channels. Operations teams spend their time reconciling data instead of acting on it. And the "AI-powered personalization" your platform vendor promised turns out to be basic collaborative filtering that recommends the same products to everyone.
We build the systems that connect your retail operations end-to-end — unified data platforms, intelligent automation, and custom tools designed for how your specific business operates. Not another plugin. A system that actually works.
Seven capabilities,
built for modern commerce.
Intelligent systems that automate the operational work behind the storefront. Automated product catalog management agents that enrich product data, generate descriptions, optimize for search, and flag inconsistencies across channels. Order exception handling systems that identify fulfillment issues — split shipments, backorders, address problems, payment failures — and resolve them automatically or route to the right team. Returns processing automation that handles authorization, routing, quality inspection categorization, and inventory restocking without manual intervention at every step.
View serviceReal projects,
measurable results.
Personalization that isn't generic.
An omnichannel retailer was using their e-commerce platform's built-in recommendation engine, which relied on basic collaborative filtering — "customers who bought X also bought Y." The recommendations were generic, untargeted, and contributed less than 2% of online revenue. We built a custom recommendation system that incorporates purchase history, browsing behavior, category affinity, price sensitivity, seasonal patterns, and real-time session context. Recommendations are served in real time and vary based on the customer's current intent signals. Recommendation-driven revenue increased to 12% of online sales within six months.
Inventory that's actually accurate.
A multi-channel retailer was losing $2M+ per year in oversells, cancelled orders, and emergency transfers caused by inventory inaccuracy across their e-commerce site, three marketplaces, and 15 retail locations. Stock counts in their OMS lagged behind actual movements by hours, and reconciliation was a manual daily process. We built a real-time inventory orchestration system that processes POS transactions, e-commerce orders, warehouse movements, and marketplace updates as they happen — maintaining a single, accurate available-to-promise quantity across all channels. Oversells dropped by 90%, and the daily reconciliation process was eliminated entirely.
Customer service that scales.
A D2C brand was growing 80% year-over-year but their customer service team couldn't keep up. Response times were climbing, CSAT was declining, and hiring wasn't keeping pace with ticket volume. We deployed a conversational AI system that handles order status inquiries, return initiation, product questions, and shipping issues across email, chat, and SMS. The system resolves 65% of tickets without human intervention, routes the remaining 35% to agents with full context and recommended responses, and escalates VIP customers directly to senior support. Average response time dropped from 8 hours to under 10 minutes, and CSAT recovered to pre-growth levels without doubling the support team.
Built for peak volume,
omnichannel reality.
We build for peak.
Retail systems need to handle Black Friday volumes, not just Tuesday afternoon volumes. We design architectures for the traffic spikes, order volumes, and concurrent user loads that define retail — with auto-scaling, caching strategies, and performance optimization built into the foundation, not bolted on when things start falling over in November.
We connect the channels.
Omnichannel isn't a feature — it's an architectural decision that has to be made from day one. We build unified data and order management systems that treat all channels as a single commerce engine, not separate systems that occasionally sync.
We measure what matters.
Every system we build for retail is oriented around the metrics that drive your business — conversion rate, average order value, customer lifetime value, inventory turn, gross margin return on investment. If a system doesn't move a number that matters to your P&L, we'll tell you before we build it.
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.