For D2C brands, online retailers, and marketplace sellers who need faster storefronts, tighter fulfillment operations, and customers who keep coming back without being chased.
Tools we wire together
Live signal
Every card below is a working pattern we've shipped or scoped for a real e-commerce & d2c client — not a wishlist.
Fast-loading, conversion-optimized stores integrated with Razorpay, Shiprocket, and WhatsApp — orders flow without manual touch.
Multi-warehouse stock management and automated returns connected to Shiprocket and Delhivery. Fulfilment runs hands-off.
Automated WhatsApp and Klaviyo journeys from confirmation through delivery, review requests, and re-engagement offers.
Server-side tracking, unified ad dashboards, and cohort analysis — know exactly which channel and campaign drove each rupee.
One catalog pushed to Amazon, Flipkart, Myntra and your D2C site — with synced inventory and de-duped order flows.
Recurring billing, tiered loyalty, referral rewards, and store credit — wired into Shopify or your custom commerce stack.
Unified buyer profile across Shopify, ads, email, WhatsApp, and offline — so segmentation and journeys are based on the whole picture, not channel silos.
An experiment platform on your storefront — landing pages, PDPs, checkout flows — with statistical rigour and stakeholder-friendly dashboards.
Catalog-in-WhatsApp, abandoned-cart recovery, COD-confirmation flows, and post-purchase journeys — wired into your storefront and CRM, not bolt-on bot tools.
Tools typically used
ShopifyRazorpayKlaviyoMeta AdsGA4ShiprocketThese are the workflows that quietly drain margin, staff time, and patience. Every system we build starts from one of these.
Ad spend is up, attribution windows are shrinking, and iOS privacy changes broke your dashboards. You're flying half-blind on the biggest line item.
30–40% return rates on apparel. Reverse logistics costs and damaged SKUs quietly destroy unit economics no one is measuring closely.
Stock counts diverge across Amazon, Flipkart, Myntra, and your D2C site. Strikes from marketplaces are routine — and disputes with customers eat support hours.
First-purchase conversion is solid, but second purchase is a coin flip. The retention engine you need doesn't exist — just generic email blasts.
Shopify ↔ Klaviyo ↔ Shiprocket ↔ Razorpay ↔ Tally, all duct-taped together. Every promo breaks something and nobody knows where to look.
You'd love recurring revenue or a tiered loyalty program. The apps in the store look easy until you try to wire them into your tax, fulfilment, and CRM flows.
Specific, working uses of LLMs and ML in real e-commerce & d2coperations — not generic “AI-powered” marketing.
Score baskets at checkout for return likelihood — using SKU history, customer history, and basket pattern — and nudge buyers toward less risky variants or sizes.
Generate SEO-ready PDP copy, marketplace listings, and ad variants from spec sheets and one set of brand guidelines — across thousands of SKUs in hours, not weeks.
LLM-powered clustering of buyers by behaviour, AOV, and product affinity — feeding tailor-made WhatsApp and email journeys instead of one-size blasts.
PDP-ready summaries of customer reviews, sentiment by attribute (fit, fabric, smell), and red-flag alerts on quality drift — straight into your product team's inbox.
Forecast 2–8 weeks ahead at SKU + warehouse granularity, factoring seasonality, promotions, and lead times — so purchasing stops being instinct-driven.
An AI agent on your storefront that answers fit, fabric, ingredient, and shipping questions like your best store associate would — and quietly converts.
A four-stage framework with AI capability called out at each step — so you can see exactly where machine learning earns its keep.
We map your channels, fulfilment partners, and tech stack — and audit the last 90 days of orders to find the leak you didn't know you had.
AI-assisted analysis on orders, returns, and ad spend.
We ship the one workflow that moves your contribution margin most — usually attribution-fix, returns automation, or unified inventory. Live, measurable, in production.
LLM-bootstrapped schemas, content, and seed automations.
Channel-by-channel onboarding, catalog migration, and team training. We're on calls with your ops and marketing teams during cutover.
Auto-generation of PDP copy and marketplace listings during catalog migration.
Monthly review of ROAS, return rate, repeat-purchase rate, and contribution margin. We tune the system continuously to push these numbers.
Anomaly alerts on stockouts, attribution drift, and SKU performance dips.
Every system we ship comes with the controls and audit surface your inspectors will ask for — designed in from day one, not bolted on later.
Card data never touches your servers — Razorpay, Stripe, Cashfree handle PCI scope. We architect the integration so audits stay simple and your liability stays narrow.
Consent capture, purpose limitation, and data-principal request workflows — built for Indian DPDP and extensible to GDPR for international sales.
Auto-generated e-invoices for B2B orders, TCS on marketplace flows, and reconciliation against marketplace settlement reports — built into the order pipeline.
Category-specific compliance built into PDPs and packaging data — FSSAI labels for food, BIS for electronics, MRP and net-quantity fields for Legal Metrology.
Concrete scenarios, scoped from real conversations. Each one is a pattern we'd execute on day one.
Tell us where you are. We'll scope it, estimate it, and walk you through exactly how we'd approach it.
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