The technological revolution in the automotive industry is mind-blowing: connected cars, automated supply chains and the change towards electric and hybrid vehicles are all happening at a rapid pace.

Overcome big challenges:

Intermittent, seasonal and fast moving demand patterns
Part supersession and criticality
Fill rate and availability driven service levels
Dynamic reallocation and repositioning
End-of life buys

More accurately forecast your inventory across your supply chain!

Manage targeted stock levels and budgets
Reduce inventory levels while simultaneously improving responsiveness
Analyze seasonal, intermittent and high-demand patterns
Improve overall control of your supply chain
Get highest accuracy in forecasting spare parts needs

Obase Automative Spare Parts Replenishment solution is a multi-objective solution helping organizations transform their data into actions for the toughest supply chain challenges.

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 Technology
Best 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 Transfers

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

Demand Planning and Forecasting for Auto Parts

avtor: Obase A.S.