/AI-Powered Retail

/AI-Powered Retail

Client

GCC retailer

Sector

Retail

Region

GCC

Years

2024-2025

/flow

Chapter 4 · Growth systems & AI

Transforming SKU Chaos into Structured Clarity

We turned blind spots into actionable marketing data. Faster prep, sharper insights, and campaigns that finally see the whole picture.

/Results/

50%+

50%+

Less time spent preparing campaigns

/Context/

/Context/

Partnering with a leading GCC retailer spanning hundreds of stores, rapid product cycles, and promotions tailored to diverse regional markets. Their retail catalogue spans thousands of SKUs, across categories, languages, and markets.

This complexity created critical gaps in insight for the marketing team, making it difficult to group products, personalise campaigns, or surface key trends across such a vast inventory.

This complexity created critical gaps in insight for the marketing team, making it difficult to group products, personalise campaigns, or surface key trends across such a vast inventory.

/Challenge/

/Challenge/

With no standardised way to classify or tag SKUs for marketing use, the team relied on fragmented spreadsheets, manual filters, and intuition.

Strategic planning was reactive. Opportunities were missed simply because the data couldn’t speak clearly.

/What we did/

/What we did/

We built a custom annotation framework designed for marketers, not merchandisers: combining a lightweight tagging system for campaign readiness, margin sensitivity, and promotional priority with automated categorisation workflows to cut human load, all surfaced through a clean interface for exploring, filtering, and preparing SKU sets for marketing activity.

/Gallery/

/Gallery/

01 / 02

/Outcome/

/Outcome/

  • A significant reduction in repetitive manual planning tasks

  • Faster campaign turnaround across regional teams

  • Improved promotional relevance and alignment with store-level dynamics

  • Clearer decision accountability and performance feedback loops

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