C
Coratech AI
Personalisation at Scale for a Pan-African Retailer
All Case Studies
Retail and E-Commerce8 months

Kora Retail Group

Personalisation at Scale for a Pan-African Retailer

One of West Africa's largest retail chains deployed AI personalisation and demand forecasting across its channels, driving a 28 percent increase in average order value.

28%

Increase in average order value within three months

45%

Reduction in stockouts across all locations

3.2x

Improvement in email campaign conversion rates

$6.1M

Additional revenue attributed to personalisation in year one

The Challenge

What they were dealing with.

Kora had 4.2 million active customers across Ghana, Nigeria and Senegal and almost no ability to treat them differently. Every customer received the same promotions and recommendations. Inventory decisions were made manually using last year's data. Stockouts were frequent and customers were leaving for competitors who felt more relevant.

The Solution

What we built.

We built a customer data platform that unified online and in-store purchase history, then layered a recommendation engine on top that personalises the homepage, email campaigns and promotions for every customer segment. Separately we built a demand forecasting system that generates store-level stock recommendations weekly.

PythonNext.jsPostgreSQLApache KafkadbtSnowflake
How We Delivered It
01

Discovery

Weeks 1 to 4

Deep dive into existing systems, data landscape and requirements. Full architecture blueprint produced.

02

Build

Weeks 5 onwards

Phased development with regular reviews. Continuous integration and stakeholder sign-off at each milestone.

03

Launch

Final phase

Production deployment, training and an active optimisation period to tune performance against agreed KPIs.

The results.

28%

Increase in average order value within three months

45%

Reduction in stockouts across all locations

3.2x

Improvement in email campaign conversion rates

$6.1M

Additional revenue attributed to personalisation in year one

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