Case Study · B2Metric & Otokoç
Otokoç Optimizes After-Sales & Inventory with B2Metric AI
As a leading automotive retail and mobility company, Otokoç uses B2Metric AI to transform after-sales operations, accurately forecasting spare parts demand and optimizing service schedules across its extensive network. This ensures improved availability, reduces logistical inefficiencies, and delivers better service to dealers and customers.
Otokoç
What We Delivered
Demand Forecasting: AI-driven stock optimization to prevent shortages.
Service Optimization: Predictive scheduling to balance workshop capacity.
Dynamic Pricing: AutoML models for parts and service pricing.
Business Impact
- Inventory Efficiency: Reduced idle stock through precise regional demand prediction.
- Operational Excellence: Maximized workshop utilization and reduced customer wait times.
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