Retail / Data Science

Retail: Smart Retail Campaign Aggregation

AI-Driven Data Normalization

Client

A Global Retail Campaign Network (500+ Brands)

Platform

Smart Retail Campaign Aggregation

Region

Global

Timeline

6 Weeks To First Rollout

Rapid ScaleOnboarded 500+ brands in just 6 weeks
98% AccuracyNear-perfect automated categorization, eliminating manual proofing
Real-Time SyncDaily updates across all global regions with zero downtime

The Challenge

Managing campaign data from 500+ global brands resulted in massive data inconsistency. Offers arrived in varying formats, languages, and structures, making it impossible to provide a unified user experience across different regions.

What We Built

  • We built an intelligent "Normalization Engine." This platform uses ML models to ingest raw campaign data, identify key offer attributes, and categorize them into a standardized global schema with 98% accuracy.

The Result

Rapid Scale: Onboarded 500+ brands in just 6 weeks. 98% Accuracy: Near-perfect automated categorization, eliminating manual proofing. Real-Time Sync: Daily updates across all global regions with zero downtime.

Prefer A Walkthrough?

Book A Guided Demo With Our Team

Tell us how your team works today and we'll show a live walkthrough mapped to your scenario, and scope what a rollout looks like.

We'll call within ~30 seconds. The call takes about 2 minutes.

Ready to see it in your workflow?

Tell us the operation you want to automate and we'll show you the product that fits — running on your scenario.

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