Digital Mission

Experiential Retail

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Curated Merchandise Life-Cycle Management Curated Product Assortment and Positioning

Collaborative Analytics for Merchandising and Marketing

Current Situation

Retailers and their vendor partners share data where necessary, and its typically narrow scope and lack of granularity limits its usefulness. Where early stage analytics partnerships do occur, it is typically done as a monetization effort by the retailer and brand/SKU building by the vendor.

Goals and Objectives

Shared insights and collaborative analytics provide a clear, shared understanding of facts. A collaborative ecosystem helps drive a single view of the optimal space, assortment, price, and promotion of a given product for a given customer, establishing a foundation of truth from which each party can negotiate toward a mutually beneficial outcome.

Technology Deployed

Cloud, industry cloud, high-scale database applications, data lakes, data management platforms, serverless computing, 5G connectivity, and multicloud management

Use Case Summary

Retailer-vendor analytics collaboration for a shared understanding of the customer and their purchase behavior drives mutually beneficial decisions around price, promotion, and assortment.

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