AI-native commerce — cartx, retailOS, shopx — productized in your cloud, priced to conversion, margin and SKU velocity.
HOW DOES DEVX LABS HELP RETAIL COMPANIES TRANSFORM WITH AI?
devx labs helps retail and D2C brands replace SaaS sprawl with AI-native commerce — context-engineered agents on AWS Bedrock, deployed in your cloud, priced to outcomes like conversion lift, margin and SKU velocity.
What's broken in retail — and what AI-native does differently.
Retail stacks have collected 30+ point SaaS tools — search, reviews, loyalty, CDP, helpdesk, marketing — each charging per-seat or per-event, none speaking to the others. The result: margin shaved off every order, integration teams drowning, and a customer experience stitched together by middleware.
We build agent-native commerce on the customer's cloud. One reasoning layer, your data, your perimeter — replacing 6–10 SaaS tools at a time with workflows that get cheaper as volume grows, not more expensive.
Retail pains, mapped to practice and outcome.
Three practices, mapped to this vertical.
Retail accelerators — productized.
Conversational commerce agent stack. WhatsApp + IG + web. Live in 4 weeks.
Composable commerce reference architecture. Shopify-replacement-ready.
Search, merchandising, and recommendation agents on your catalog.
AI pricing decisioning across SKU, channel, geography.
Retail engagements we've shipped.
Festive season, 11-week build, 3 SaaS tools displaced.
Headless commerce + cartx, replatform off legacy.
PDP + checkout agents, conversion lift in 6 weeks.
devx labs vs. the alternatives — without the puffery.
Questions retail buyers ask.
What is AI-native consulting for retail? +
AI-native consulting builds commerce systems where reasoning agents — not stitched SaaS — own the customer experience. devx labs deploys these in your cloud on AWS Bedrock, replacing 6–10 point tools per engagement and pricing against outcomes like conversion lift and SKU velocity.
How does devx labs help D2C brands transform with AI? +
We start with a 2-week diagnostic across your stack and signals, then ship a pilot pair of agents (typically conversational commerce + demand forecasting) in 6–8 weeks, then scale on retailOS or your existing platform. Mokobara, The Sleep Company and The Whole Truth followed this exact arc.
Can devx labs replace our Shopify apps? +
Often, yes. shopx and cartx replace search, recommendations, reviews, conversational support, and lifecycle marketing apps with one AI-native layer on your data. We publish the math per engagement — typical run-rate is 30–50% lower than the SaaS bundle being replaced.
Do you have AI demand forecasting for D2C apparel brands in India? +
Yes — cartx forecasting is tuned for festive-season patterns, returns curves, and SKU-level seasonality common to Indian apparel. Active customers across men's, women's, and footwear; warm intros under NDA.
How do you price retail AI engagements? +
Four models: fixed-fee diagnostic (USD 25–60K), milestone-based build (4–14 weeks), accelerator-priced launch (per cartx / retailOS), and outcome-based run-rate (% of incremental conversion or margin). Most engagements blend two — diagnostic + outcome run is common.
How is AI-native commerce different from headless commerce? +
Headless decouples the front-end from the commerce engine; AI-native goes further — it makes reasoning agents the system of action. Headless is a 2018 idea; AI-native is what 2026 D2C brands ship to compete with marketplace UX in their own channel.