eCommerce - Automotive Parts & Accessories

Always Stocked, Never Overstocked

goal

Challenge Faced

Fast-moving spares (filters, brake pads, wipers) often go out of stock during peak demand. Overstocking slower parts ties up working capital.

solution

Our Solution

We deployed AI demand forecasting to predict sales patterns, helping retailers and distributors optimize stock levels.

Tools we used

Unreal Engine

Approach

Step-by-Step Workflow

Step 1

Analyze historical sales & seasonality (monsoons, road trips).

Step 2

Forecast demand by part category and region.

Step 3

Optimize procurement & replenishment.

Step 4

Trigger automated restocking alerts.

Quantifiable Benefits

Reduction in stockouts
%
Lower inventory holding costs
0 %
Improvement in order fulfillment rates
%
Increased sales during seasonal peaks
0 %

Who’s Using This

OEM spare parts networks

Innovation 1

Amazon Automotive category

Innovation-2

Auto aftermarket distributors

Private Surgical Training Institutes

Why It Matters

Predictive inventory ensures the right spares are always available maximizing revenue while reducing waste.

case studies

Real Results. Real Impact.

See how these use cases helped industry leaders transform operations with AI & XR.

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