Case Study

Vyapaar Mate

VyapaarMate simplifies operations for local businesses by bridging online catalog checkouts, instant WhatsApp customer updates, and automated UPI payment tracking into a single, high-contrast dashboard.

SaaS & WhatsApp Commerce PlatformLive product
Vyapaar Mate case study visual
Local CommerceWhatsApp IntegrationsSaaS Dashboard

Challenge

Indian small business owners heavily rely on WhatsApp and phone calls to manage sales, but manually tracking orders, coordinating delivery or slots, reconciling fragmented UPI screenshots, and typing customer updates becomes a significant operational bottleneck as order volume grows.

Solution

The platform was built to help Indian local businesses (restaurants, tiffin centers, grocery stores, salons) capture direct orders and appointments without high marketplace commissions. By integrating a clean customer catalog checkout with automated WhatsApp notifications and instant UPI verification, VyapaarMate structures daily store operations into a single operational flow.

Outcome

The platform is in active rollout, enabling merchants to capture direct orders, eliminate manual WhatsApp updates, and track daily sales collections without third-party commission leakage.

Vyapaar Mate gallery view
Vyapaar Mate feature crop
Vyapaar Mate interface crop

Features

Direct ordering web catalogsUPI QR checkout trackingAutomated WhatsApp customer updatesStaff role-based access controlsConsent-first customer CRMDaily closing & sales summary reports

Tech

Next.jsReactTypeScriptTailwind CSSPrisma & PostgreSQLWhatsApp Business APICashfree Gateway webhooks

Scope

Product architectureFull-stack SaaS buildWhatsApp integration designUX design system implementation

Product goals

Automate order confirmations and status updates on WhatsApp
Reconcile UPI QR checkouts and track payment confirmations cleanly
Support multi-category workflows (food menu options vs. service booking slots)
Design a highly accessible owner dashboard optimized for fast daily checkout

Delivery highlights

Focused on speed and minimal tap paths, adapting UI patterns for low-light shop environments
Simplified complex workflow states into clear color-coded statuses (New, Active, Ready, Paid)
Constructed a multi-tenant database schema supporting isolated tenant spaces and distinct catalogs
Structured a resilient messaging queue to handle spikes in WhatsApp status alerts
Next Step

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