We built a company-wide Power BI solution that gave over 1,200 employees—from store managers to CXOs—access to live sales, inventory, and footfall metrics. The result? Faster pricing decisions, optimized stocking, and real-time revenue tracking at every level.
4 months
6 specialists
Retail
A rapidly growing retail chain with a footprint across multiple cities in India faced a common—but critical—challenge: data was locked in silos.
Sales reports were delayed. Inventory insights were scattered across Excel files. Store-level managers operated blindly, while senior leadership received outdated metrics during monthly reviews. This fragmented approach resulted in:
To stay competitive in a fast-moving retail environment, the company needed to empower every decision-maker—from store managers to CXOs—with real-time, reliable, and actionable data.
Syncortex partnered with the retailer to design and implement a centralized, role-based Power BI platform that delivered live analytics dashboards across the organization.
Built robust data models combining POS, ERP, inventory, and footfall sources—harmonized into a single source of truth.
Tailored views for different roles: store managers could monitor daily sales and stock levels, regional heads accessed multi-store comparisons, and CXOs viewed consolidated performance metrics.
Dashboards were optimized for mobile viewing, allowing managers to act on insights instantly—even on the shop floor.
Threshold-based alerts were integrated for low stock, sudden footfall dips, or price anomalies. Users could drill down from chain-level to SKU-level with a click.
Built data ingestion workflows that refreshed metrics hourly across all data sources, ensuring near real-time insights for all users.
Syncortex conducted enterprise-wide Power BI training and implemented data governance protocols to ensure responsible access and usage.
The deployment fundamentally changed the way the business operated. Data was no longer a back-office function—it became a real-time decision-making engine at every level.
Across retail, supply chain, finance, and leadership.
Category managers used real-time sales velocity to implement mid-week pricing adjustments—improving sell-through rates.
Store managers received daily insights into inventory gaps, enabling faster replenishment and reduced stockouts.
CXOs could monitor daily performance by geography, store, and product category—supporting agile planning and quarterly strategy shifts.
The Power BI transformation delivered more than dashboards—it created a culture of data fluency across the organization.
Retail operations were now smarter, more proactive, and strategically aligned from the ground up. By democratizing data access, the company transformed from intuition-based to evidence-based decision making at all levels.
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