Sales were unpredictable. Pricing wasn’t helping
This Southeast Asian electronics giant had momentum. 120+ stores, fast expansion, and high customer traffic.
But pricing? That was stuck.
Their cost-plus model ignored real-time demand, competitor moves, and stock positions.
High-demand products were underpriced. Low-movers were too expensive. Conversions dipped. Margins eroded.
They needed a smarter, faster way to price — a dynamic pricing strategy that could adapt instantly.
A dynamic pricing strategy in motion
We began by connecting every input that mattered. We unified their sales, inventory, margins, SKU roles, competitor prices, and promotions data into one smart stream. Then we segmented every SKU — traffic drivers, margin builders, seasonal bets. Each needed a different playbook.
With this structure in place, the dynamic pricing strategy came alive.
Read more: How a leading consumer appliance retailer optimized its pricing strategy
Data-led pricing. Store by store
AI models identified what to promote, where to protect margins, and when to shift prices.
Real-time elasticity, demand surges, and aging stock all factored in. Prices adapted automatically.
Store managers no longer relied on guesswork. Every price had logic behind it.
And because the dynamic pricing strategy worked at segment and store level, results were personalized, not generic.
Results that moved faster than the market
The brand saw a sharp uptick in revenue and conversions.
Margins rose. Inventory stayed in sync. High-demand SKUs hit better price points.
Most importantly, pricing decisions that once took days now took minutes — all thanks to the right dynamic pricing strategy.
We power pricing that performs
At Netscribes, we build intelligent pricing engines that help retailers stay agile, competitive, and profitable. From AI-powered recommendations to automated workflows, our dynamic pricing strategy solutions help you move with the market.
Download the full case study to see how our AI-led pricing unlocked growth across stores.
