PRISM / grant readiness

Project Title

VyapaarMate Intelligence Engine: AI-powered direct-commerce decision support system for Indian MSMEs

A practical, low-cost intelligence layer that turns local business activity into daily owner actions for demand planning, repeat engagement, payment follow-up, and direct-commerce operations.

Technology Narrative AI Suggestions

Problem

Disconnected tools create missed MSME opportunities

Small Indian MSMEs often manage orders, payments, repeat customers, and customer reminders through disconnected tools like WhatsApp, notebooks, UPI screenshots, and manual memory. This creates missed repeat sales, poor demand planning, payment follow-up gaps, and low digital visibility.

Proposed innovation

From activity data to owner action

VyapaarMate Intelligence Engine

VyapaarMate Intelligence Engine converts local business activity data into simple, actionable recommendations for owners. It combines order analytics, repeat customer scoring, payment risk prioritisation, demand prediction, and business health scoring in one MSME-friendly dashboard.

Order analytics

Repeat customer scoring

Payment risk priority

Demand prediction

Business health score

Consent-aware campaign suggestions

Expected outcome

Measurable owner value

Better demand planning

Higher repeat customer engagement

Lower missed payment follow-ups

Improved owner decision-making

Reduced dependence on large marketplaces

Affordable digital intelligence for small businesses

Use of funds

Focused development and pilot readiness

Intelligence engine development

Data model and testing

MSME pilot trials

Product refinement

Privacy/security hardening

Patent/trademark/technical documentation if applicable

Deployment and monitoring