01
Intelligent product discovery
Search and recommendations that understand 'sahi wala' or 'cheaper alternative' — vernacular and code-switched query intent.
Industry · Retail & E-commerce
Discovery, conversion, confidence —
engineered with AI.
Indian retail runs on price-sensitive customers, vernacular discovery, and supply-chain paperwork that nobody loves. Marxen builds AI for all three — on the retailer's own stack.
§ 01The problem
The customer speaks your language. Your AI should too.
Indian customers search, browse, and complain in their language. They make decisions on price, availability, and trust — in that order. They abandon faster than any other market in the world. Generic retail AI, tuned on Western conversion patterns, does not solve the problem.
Marxen builds retail AI that understands vernacular search, Indian buying behaviour, and the document-heavy supply chain that has to feed it.
§ 02Use cases
Where AI earns its place. In retail.
Ten concrete workflows where Marxen has deployed — or can deploy — sovereign AI in retail institutions.
- 02
Demand and inventory intelligence
SKU-level demand narration across regions and channels, with explanation — not just a forecast number, a reason.
- 03
Document automation in the supply chain
Vendor invoices, GRNs, e-way bills, MRP-compliance docs — extracted, validated, and posted with audit trails.
- 04
AI-generated creative
Catalogue copy, banner variants, and campaign creative generated against the brand's own style guide and approved assets.
- 05
Multilingual customer support
WhatsApp, IVR, and in-app support in Tamil, Hindi, Telugu, Bengali, Marathi — grounded in the brand's product catalogue and policies.
- 06
Price intelligence
Competitive pricing tracked across marketplaces and offline channels, narrated for category managers — with the why, not just the gap.
- 07
Return-reason classification
Customer-stated reasons + image evidence classified into operational buckets — so ops can act on patterns, not anecdotes.
- 08
Store-associate POS query
In-store associates ask the AI for product details, stock status, and policy — in their language. Faster answers, fewer escalations.
- 09
Catalogue enrichment
Product attributes, hero images, and SEO-ready descriptions generated from supplier sheets at scale.
- 10
Visual product search
Customers upload a photo, find the SKU. Available in-app or as a marketplace tile.
§ 03The Marxen approach
Retail-tuned, India-tuned. Not Western AI in a saree.
Indic-first NLU
Trained on Indian buying-intent language — vernacular and code-switched. Not translated from English.
Hybrid deployment
Customer-facing surfaces on the retailer's cloud, sensitive data and ops AI on private infrastructure.
Catalogue-first retrieval
All AI grounded in the retailer's own catalogue, copy, and approved assets — not a foundation model's imagination.
Creative on rails
Generated creative respects brand guardrails — palette, voice, do-not-use claims — by design, not by review.
§ 04Compliance
Customer data treated as customer data.
DPDP-aligned consent flows, with vernacular consent screens for genuinely informed agreement. Aadhaar and PAN handling per the latest law. Logging in plain language for the customer if they exercise their access right.
No training on customer transcripts without scoped, recorded consent.
- DPDP Act
- Vernacular consent
- Brand-safe creative
- Catalogue-grounded
Start a retail conversation
Tell us your use case. We'll tell you honestly whether sovereign AI is the right move.
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