Increase operational effiency by reducing stock-outs, stock-days and waste!

Obase Replenishment solution is a multi-objective solution helping organizations transform their data into actions for the toughest supply chain challenges. It provides you with the analytics-driven demand forecasting model built on machine-learning algorithms to help you run your store on the best-in-class, demand-driven inventory management system.

For each SKU at each store Replenishment;

Calculates minimum stock level

Segments the product groups and products to determine the customer service level

Estimates the supplier delivery day

Estimates the box quantity value

Optimization algorithm decides the inventory levels based on inventory holding and shortage cost. Decisons made by Analytics@Replenishment system are integrated with ERP systems. You can increase sales by eliminating out of stocks, reducing waste and write-offs. Decrease the excess inventory and while positively impacting your customers' desire to shop with the full and appealing shelves and racks.

Powerful analytics to maximize shelf availability

Reduce supply chain costs and minimize the obsolete inventory

Get higher sales, improved bottom-line and a bettered customer experience

So far, our product brought us 2019 Microsoft Global Partner of the Year Award and with this award have been awarded 5 times by a jury comprised of academicians and sector representativies.

Microsoft "2019 Global Partner of the Year Award - Retail"
Microsoft “AI Solutions Partner Of The Year” Award 2018
Best Enterprise Solution - Europe Retail Technologies Awards 2017
Category Retail Association 2017 - Best TechnologyBest Application – OR and Industrial Engineering Congress 2016

Track immediate impacts on your results:

10-50% Reduction in Out of Stock

5-30% Reduction Overstock

20-60% Reduction in Waste / Outlet Transfers

To start all you need do is to share sale, stock, price etc. data historically, our simulation algorithm can produce results immediately!