Data Governance & AI for Retail
Challenge
A large US retailer needed to break operational silos and legacy processes to become a data-driven organization. By prioritizing data governance, they unlocked AI capabilities that improved inventory management, customer experience, and operational efficiency.
Solution
Mapped 50+ core processes across 6 departments using IDEF0 to understand data flows and dependencies. Built a centralized Azure SQL Data Warehouse integrating POS, e-commerce, ERP, and CRM systems. Cataloged 100+ datasets with Microsoft Purview, standardizing terminology and ownership. Delivered tailored Power BI dashboards for self-service analytics across teams. Developed AI/ML models: demand forecasting (LSTM), personalized recommendations, dynamic pricing (reinforcement learning), and an NLP chatbot.
Results
Results Unified source of truth for all operational and sales data. Reduced errors and improved decision-making with real-time analytics. Optimized inventory and promotions, increasing revenue and reducing waste. Enabled AI-driven personalization and operational efficiency. Impact The retailer became a data-first organization with scalable analytics and AI capabilities, driving smarter operations, better customer experiences, and measurable business outcomes.
Wiserbrand
WiserBrand is an AI adoption partner for companies that need AI to pay for itself, not just look good in a board deck. We’ve spent 11 years in digital across North America and Europe, and the last four building with AI. We work with companies with 10 to 200 employees in...
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