RetailIQ Analytics Dashboard
Unified retail analytics platform aggregating data from 50+ sources to deliver actionable insights for omnichannel retailers.
Client
RetailIQ Corp
Industry
E-commerce
Year
2022
Duration
3–6 months
The Challenge
Retail brands were making decisions based on fragmented data scattered across dozens of platforms. Sales, inventory, marketing, and customer data lived in separate silos. By the time monthly reports were compiled, the insights were already stale. Real-time decision-making was impossible.
Our Solution
We designed a real-time data pipeline that ingests and normalizes data from 50+ retail platforms via pre-built connectors. A semantic data layer provides consistent metrics regardless of source. Predictive models forecast demand, identify trending products, and optimize pricing. Executive dashboards update in real-time with drill-down capabilities.
The Outcome
Retail clients reported a 19% improvement in inventory turnover. Marketing ROI visibility improved by 340%. Demand forecasting accuracy reached 94%. RetailIQ grew to serve 150+ brands within two years of launch.
Tech Stack Used
The technologies and tools we leveraged to deliver this project.
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