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The AI Stack for an Indian D2C Brand Doing ₹10-100 Cr

A tool-by-tool stack for D2C founders who want AI leverage without hiring a data team.

Teknesya Networks 5 June 20261 min read
The AI Stack for an Indian D2C Brand Doing ₹10-100 Cr

The AI Stack for a Mid-Size Indian D2C Brand

You are doing ₹10-100 Cr ARR. You don't need a data scientist. You need a tight, integrated stack.

The stack

  • Catalog + content: AI-assisted product copy, image variants, and SEO
  • CRM: Email + WhatsApp marketing with AI-personalised flows
  • Support: LLM-powered first-touch resolution, human handoff for refunds
  • Returns: image-based return reason classification, fraud flagging
  • Demand planning: SKU-level forecasting for the top 200 SKUs
  • Ads: Meta + Google creative testing automated weekly

What to build vs buy

Almost everything: buy. The only "build" worth considering at this scale is your own customer data layer that ties web, app, WhatsApp and offline together. Everything else has a good SaaS.

Sequence

  1. Support automation (fastest ROI)
  2. Returns and fraud (margin protection)
  3. Marketing personalisation (revenue)
  4. Demand planning (working capital)

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