Optimizing the working capital is vital for almost every enterprise to sustain an efficient cash flow, minimizing cost as well as obtaining utmost customer satisfaction, while an effective inventory management provides the rigid baseline for this aim.
KoçDigital AI-enhanced inventory optimization improves working capital by optimizing operational cost and product availability in single or multi-echelon supply chain structures.
It optimizes differentiated service levels based on product segmentation, enables differentiation of stock policies for seasonal products with its customized algorithms, and simultaneously takes historic sales and future forecasts into account for generating best-fit inventory policies.
It establishes the most efficient structure in the digital transformation of the supply chain by providing the most appropriate and rapid implementation of digital solutions with its expert consultant staff.
Featured Client Use Cases and Business Outcomes
Inventory Management Strategy Development in industrial lubricants
Solution:
- The network model was rebuilt to refine the distribution structure and service levels.
- Tailored advanced analytics demand forecasting models developed.
- Automated replenishment process trigger ordering with defining optimum inventory level and safety stock.
- Simulated the new replenishment system under (s, S) policy and improved forecasting. Run the simulation model for contingency scenarios.
Business Outcomes
Assortment and Dynamic Inventory Optimization in Household Retail
Solution:
- Assortment plan (product mix) per sales point via advanced ML algorithms
- Dynamic inventory targets based on stochastic demand rate and service level
- Robust optimized solution
- Prevention of lost sales caused by inadequate product variety and inventory depth in direct-sales trucks.
- Automatize order loads per truck based on per point of sales (≈180K points) demand.
Business Outcomes