Real-Time Retail SaaS Management Platform
12 stores. 5 days to produce a sales report. Stockouts discovered only when customers walked out empty-handed. We built a cloud-native SaaS platform that made every SKU across every location visible in real time, automated demand forecasts 90 days out, and put actionable dashboards in front of every layer of the business — from store floor to executive suite.
The Challenge
The client operated 12 locations across three cities on outdated manual processes, with purchasing driven by gut feel and reports arriving days late. Stockouts and overstock cost an estimated 8–12% of monthly revenue.
- Disconnected spreadsheets and email chains for 12-store inventory
- No real-time stock visibility; stockouts discovered when customers complained
- Gut-feel purchasing decisions without demand forecasting
- 3–5 day manual sales reporting lag
- No cross-store visibility for franchise owners and regional managers
Our Solution
Aavyalabs built a cloud-native SaaS platform from the ground up — ingesting POS data in real time, powering ML-driven forecasting, and surfacing actionable intelligence for every layer of the retail operation.
- Live inventory dashboard with real-time stock levels
- ML-powered demand forecasting for 30–90 day horizons
- Executive dashboards with revenue, margin, and basket analysis
- Multi-tenant AWS architecture with role-based access
- 99.9% uptime SLA
Key Features & Capabilities
What we designed, built, and shipped.
Live Inventory Dashboard
Real-time stock across all locations with automated reorder triggers.
Demand Forecasting
ML model trained on 3 years of sales history, predicting 30–90 days ahead.
Sales Analytics & BI
Daily-updated executive dashboards for revenue, margin, and basket analysis.
Cloud-Native SaaS
Multi-tenant architecture with role-based access from store floor to executive suite.
POS Data Ingestion
Real-time sync pipeline from point-of-sale systems via REST API.
Purchase & Supplier Management
Inventory management with automated reorder logic and PO workflows.
Delivery Roadmap
1 · Data Ingestion
Real-time POS sync via REST API across all 12 locations.
2 · ML Forecasting
Nightly demand predictions per SKU per location.
3 · Insights & Alerts
Dashboards with reorder signals and executive KPIs.
Technology Stack
Still Running Retail on Spreadsheets?
If inventory lives in spreadsheets and reports arrive days late, we can build the real-time platform that fixes it — POS ingestion, ML forecasting, and dashboards for every role.