Retailer Predicts Inventory Demand with Azure Databricks

Retail victory requires expertly juggling supply and demand. Mastering that balance keeps this retailer’s thousands of nationwide storefronts and dozens of distribution centers running smoothly. When it began grappling with too many products at some locations and not enough at others, the corporation set out to gain a deeper understanding of its customers’ evolving needs and reduce disruption in sales. To better predict adequate future supply, the company enlisted BlueGranite to help it uncover underlying factors influencing sales.

RESULTS AT A GLANCE

  • Implemented common data lake storage that overcomes previous storage capacity issues by scaling across all regions and locations.
  • Provided Platform as a Service (PaaS), cluster-based, computing to process significantly more data in drastically less time.
  • Instituted new advanced analytics and machine learning capabilities in a single unified platform that allow for more complex modeling than previously possible.
  • Created a platform that makes use of retailer’s existing skill sets.
  • Initial use case facilitates faster time to market, reduces inventory costs, and provides more efficient product distribution.

INDUSTRIES

  • All Industries
  • Advertising & Design
  • Education
  • Financial Services
  • Government
  • Health & Life Sciences
  • Manufacturing
  • Non-Profit
  • Retail & Hospitality

SOLUTION AREAS

  • All Solution Areas
  • Machine Learning & AI
  • Data Management
  • Enterprise & BI Reporting
  • Modern Data Platform
  • Self-Service BI

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