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Connecting retail demand planning to campaign and store execution

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announcement

Databricks presented a demo of a unified retail application designed to connect fragmented sales, inventory, supply chain, media, and store signals into a single workflow. This solution enables retail and consumer goods teams to move from KPI review and forecasting to what-if planning, campaign activation, store execution, and performance measurement. Built on foundations of data unification, governance, and AI-driven intelligence, the application helps various stakeholders collaborate on decisions around products, categories, and locations. It utilizes Databricks' Genie and autonomous agents to orchestrate tasks across sales insights, demand planning, audience building, and in-store operations.

  • →Unified Workflow for Connected Retail Operations
  • →Core Foundations: Data Unification, Governance, and AI
  • →Integrated Performance Monitoring and What-If Planning
  • →Campaign Activation and Coordinated Store Execution
  • →End-to-End Campaign Measurement and Multi-Agent Orchestration
Notes (5) ›
  • Unified Workflow for Connected Retail Operations

    Databricks demonstrates a unified retail application that integrates sales insights, demand planning, audience building, campaigns, and store operations. This aims to overcome fragmented signals by providing governed access to shared data and enabling end-to-end decision-making within the retail sector.

  • Core Foundations: Data Unification, Governance, and AI

    The application's architecture rests on data unification for a single source of truth, robust governance for controlled access, and AI-driven intelligence for recommendations and automated decisions. Databricks Genie enables natural language querying and autonomous agent orchestration within the workflow.

  • Integrated Performance Monitoring and What-If Planning

    The workflow allows users, from executives to planners, to review sales, inventory, transaction, and traffic KPIs, and analyze forecast-versus-actuals by category and SKU. It supports 'what-if' scenarios for adjusting business levers like discounts and observing projected impacts on replenishment, audience reach, and revenue.

  • Campaign Activation and Coordinated Store Execution

    Demand and sales signals inform marketing decisions, with an audience wizard recommending campaigns and guiding activation details such as audience segments and spend. Store managers receive mobile-oriented views for tasks like restocking, price-tag updates, and promotion execution, ensuring aligned operational actions.

  • End-to-End Campaign Measurement and Multi-Agent Orchestration

    The workflow concludes with campaign performance measurement, connecting activity back to sales and operational outcomes for a closed-loop view across categories, stores, and tactics. Multi-agent Genie coordinates complex tasks across personas and application areas, such as planning an end-to-end category recovery.

Read the original announcement →

https://www.databricks.com/blog/connecting-retail-demand-planning-campaign-and-store-execution

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