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E-commerce & D2C

AI that sells, and apps shoppers keep

D2C brands and marketplaces win on discovery, conversion and repeat purchase. We build shopping apps and AI features that make catalogues easier to search, products easier to understand and support instant.

[ use cases ]

What we build for e-commerce & d2c

01

Smart search and recommendations

Semantic search that understands "cotton kurta for office under 1500" and recommendations tuned to margin and stock.

02

Catalogue enrichment

Generate titles, descriptions, attributes and tags from product images and specs, reviewed in bulk by your team.

03

Shopping assistants

A helpful guide inside your app or WhatsApp that compares products, answers sizing questions and builds carts.

04

Support automation

Order status, returns and refunds resolved automatically, with smooth escalation for anything unusual.

05

D2C mobile apps

Fast, beautiful shopping apps with wishlists, push campaigns, loyalty and one-tap checkout.

[ our approach ]

How we build it right

  • Measure everything against conversion, average order value and repeat rate, not demo appeal.

  • Integrate with Shopify, WooCommerce or custom backends rather than replacing what already works.

  • Keep humans in control of brand voice with review queues for generated content.

  • Performance budgets so pages and apps stay fast on mid-range Android phones and patchy networks.

Typical stack

  • Next.js
  • React Native
  • Flutter
  • Shopify
  • Algolia
  • pgvector
  • Claude
  • Razorpay

[ faq ]

E-commerce & D2C FAQ

Usually not. Most AI features plug into your existing store through APIs. We rebuild only when the current platform blocks growth.

[ 07 ] — new project

reply < 24h

Building in e-commerce & d2c?

Tell us what you are building. We reply within one business day.

no spam. no fluff. just shipping ✶