Retail Sales & Inventory Intelligence Platform
Enterprise-grade retail intelligence platform providing end-to-end visibility into sales performance, inventory optimization, product contribution, and store operations across a global retail organization.
$850M
Annual Revenue
+12.4%
YoY growth tracked
25000
Retail Outlets
250
Distributors
CLIENT
Svastya Organic International
INDUSTRY
Retail
THE CHALLENGE
Disconnected Data. Delayed Decisions.
Fragmented systems — sales, inventory, and operational data spread across multiple disconnected systems
No real-time visibility — leadership lacked a live view into store performance, inventory availability, and regional sales trends
Profitability blind spots — product-level profitability was difficult to assess across the store network
Slow, delayed decisions — without unified data, inventory optimization and operational improvements moved at the speed of manual reporting
OUR APPROACH
Building a Unified Retail Intelligence Platform
Unify the data
A Python pipeline ingests and standardizes every regional feed into one clean, reconciled dataset.
THE PLATFORM
Retail Decision Intelligence Modules
Centralized intelligence layer — sales, inventory, product, and store data integrated into a single platform
Real-time executive insight — live visibility into revenue, inventory performance, product contribution, and regional sales
Operational efficiency tracking — store-level operational metrics surfaced alongside financial and inventory data, enabling proactive rather than reactive decisions
THE OUTCOME
Enterprise Analytics
Unified visibility across sales and inventory operations
Improved inventory optimization and stock availability
Enhanced product performance analysis
Better store performance monitoring
From delayed to real-time
$850M in annual revenue made visible across 500 retail stores in a single view
50K+ products tracked for profitability and inventory health without manual reconciliation
platform that scales
500K+ annual transactions processed through a single intelligence layer instead of siloed regional systems
Repeatable architecture — the same data model extends to new stores or regions without rebuilding the platform
WALKTHROUGH
Inside the dashboard
The live demo opens with headline numbers — $850M in annual revenue, 500 retail stores, and 50K+ products under management
TESTIMONIALS
The team truly exceeded all my expectations.
IT & Innovation Leader
British Multinational Consumer Goods Company
RUSA Analytics gave us visibility we never had before. Their demand forecasting model cut our overstock by 31% in the first quarter alone. The team is deeply embedded in retail operations — they don't just deliver dashboards, they deliver outcomes.
Head of Supply Chain Analysis
Pan-India Retail Chain
We evaluated three vendors before choosing RUSA. Their risk modeling framework was the only one that could handle our data complexity without a 12-month implementation. We were live in 8 weeks and the fraud detection accuracy exceeded our internal benchmarks.
Chief Risk Officer
Leading Private Sector Bank
MORE WORK
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