Most D2C brands have 18 disconnected SaaS tools. The bill compounds, the data is fragmented, and personalisation is shallow.
Default Shopify / WooCommerce recommendations are price-and-popularity. Real lift comes from cohort-aware, browsing-aware models.
Returns are where margins die — and where most operators have no AI assist at all.
Indian D2C brands launching in GCC / US need real i18n, structured data, and Core Web Vitals discipline — not Shopify defaults.
Shopify Hydrogen, Next.js + Shopify Storefront API, or fully custom. SSR / SSG by default. Lighthouse ≥95 perf.
Hybrid retrieval (BM25 + dense embeddings + reranker) tuned to your catalogue. Cohort-aware models for repeat shoppers.
AI agents that classify return reasons, predict returnability, and auto-issue replacements / refunds within policy.
Cohort segmentation, churn prediction, agentic email / WhatsApp / SMS sequencing. We integrate with Klaviyo, MoEngage, WebEngage.
Migrated from Shopify Online Store 2.0 to Hydrogen. Added AI search + cohort-aware recs. 42% conversion lift, 31% AOV lift in 90 days.
AI classifier on return reasons + agentic refund/replacement flow. CX team reclaimed 60% of return-handling time.
Usually no — go headless instead. Hydrogen / Next.js on top of Shopify keeps the admin and checkout you already know, but unlocks real performance and personalisation.
We run paid social through our Social Media Marketing service (LinkedIn, Meta, YouTube). For Google Shopping / Performance Max, we partner with specialists.
Incremental sync with Shopify webhooks, a normalized internal schema, and idempotent writes. We've done it for 200K-SKU catalogues without drift.