Great products don’t always mean great sales
This leading retail chain in Thailand had a scale — 150 stores, a wide reach, and a strong customer base.
But every region behaved differently. What sold in Bangkok didn’t move in Chiang Mai. Some stores ran out of bestsellers. Others were stuck with shelves of slow-movers.
Manual reports were outdated before anyone opened them. Sales teams were reacting, not planning.
They needed a new approach — one rooted in data, automation, and smarter assortment planning.
Making assortment planning smarter, not harder
The journey began with unifying data across stores, SKUs, and external signals.
Sales trends. Regional preferences. Seasonal peaks. It all came together in one clean pipeline. We applied machine learning to forecast demand down to the store-cluster level.
Then, with precision-driven assortment planning, we helped the brand align inventory with local demand.
Read more: Balancing act: Finding the optimal mix with assortment intelligence
Say goodbye to stock chaos
The new system gave planners the tools to move fast and decide smart.
They got real-time dashboards, automated alerts, and access to dynamic SKU recommendations.
Assortment planning became a monthly rhythm, not a quarterly headache.
Stockouts dropped. Overstocking declined. Sales picked up.
And category managers finally had time to plan, not just to firefight.
From scattered to synchronized
With better assortment planning, the retailer saw consistent wins.
Store-level data powered better regional strategies. Reports weren’t buried in spreadsheets anymore.
Everything was visible, fast, and actionable — from head office to local stores.
Netscribes’ assortment planning solutions combine AI, automation, and regional insight. We turn the scattered inventory data into clear strategies that work across diverse markets. From forecasting demand to optimizing shelf space, we make planning smarter and decision-making faster.
Download the full case study to see how our data-led assortment planning turned chaos into consistency.
