V
VyaparSathi
Features Overview

Everything Your Retail Business Needs In One Platform.

Vyapar Sathi combines inventory control, POS billing, analytics, AI-powered planning, and role-based team operations so owners can make faster and more confident decisions every day.

Hero Image

8+

Integrated retail modules

7-Day

AI demand forecasting horizon

30-Day

Sales history intelligence window

Role-Based

Permission-ready team control

Platform Capabilities

Built For Owners, Teams, And Daily Retail Execution.

Module 01

Inventory Command Center

Business owners, managers, stock teams
  • Store-scoped product catalog with add, update, delete, and barcode lookup.
  • OpenFoodFacts + local cache barcode resolution for faster onboarding.
  • Quantity, pricing, category, expiry, and confidence-aware product fields.

Module 02

POS Billing Flow

Cashiers and store operators
  • Cart lifecycle from scan to payment confirmation.
  • Barcode-first billing flow for quick checkout operations.
  • Bill history support for transaction review and reconciliation.

Module 03

Sales Analytics

Owners and decision-makers
  • Store summary, trends, top products, and category performance views.
  • Slow-moving inventory visibility for dead-stock reduction.
  • Date-range reporting designed for operational planning.

Module 04

AI Intelligence Dashboard

Owners and planners
  • Forecast, restock, insights, and summary modules in one surface.
  • Anomaly-aware recommendations with urgency-based priorities.
  • Copilot chat and streaming responses for natural-language analysis.

Module 05

Team and Role Management

Store owners and admins
  • Invite employees with tokenized onboarding and acceptance flow.
  • System and custom roles with granular permission control.
  • Owner, manager, cashier, and stock-manager friendly operations.

Module 06

Multi-Store Operations

Growing businesses
  • Create and operate multiple stores with isolated data boundaries.
  • Unified user account across store ownership and team access.
  • Scalable foundation for expanding retail networks.

AI Intelligence Layer

Practical AI That Supports Real Business Decisions.

AI modules are designed for operational clarity, not hype. Forecasting and recommendations are surfaced with confidence and context so teams can act faster with better visibility.

  • Demand forecasting using recent sales patterns with confidence cues.
  • Restock recommendations using lead time, stock runway, and safety stock.
  • Anomaly signals for unusual spikes and drops in demand.
  • Store-level LLM summary generated on demand for controlled token usage.

Trust Note

Forecast quality improves with stronger transaction history. New or low-volume products may use assisted baselines until enough live sales data is available.

AI Intelligence Visual

Workflow

A Clear System For Daily Retail Work.

Team Workflow Visual

Team workflow showing setup, daily operations, and AI-assisted retail decisions

Step 01

Set Up Your Store

Create a store, define team roles, and load products quickly using manual entry or barcode resolution.

Step 02

Run Daily Operations

Execute billing, monitor stock movement, and track sales performance through structured dashboard modules.

Step 03

Scale With Intelligence

Use forecasting, restock recommendations, and AI Copilot insights to improve planning and reduce stock risk.

Owner Focus

Strategic Control Across Stores And Teams.

  • Unified visibility into sales trends and inventory movement.
  • Role and permission governance for controlled operations.
  • AI-assisted planning for forecast-driven restock decisions.

Team Focus

Fast Daily Execution For Cashiers And Staff.

  • Barcode-first billing and smoother checkout experiences.
  • Product and stock updates aligned with granted permissions.
  • Clear workflows for invitations, access, and task ownership.

Next Step

Build A Smarter Retail Operation With Vyapar Sathi.

Start with your first store, onboard your team, and use AI-backed insights to improve decisions across inventory, billing, and growth planning.