FeasibilityStudy
Recognizing and exploiting saving potentials
OptimalShelfCapacity
Adequate management of shelf layout
OptimalPackSize
Cost analysis for optimal pack sizes
OptimalDeliveryCycle
Cost optimized delivery cycles
OptimalClusterSet
Lowering costs with cluster specific parameterization
KPI-Analysis
Evaluation of key performance indicators
Optimization of General Logistics Conditions
Automated ordering systems help retailers cut substantial costs. However, engines such as SAF SuperStore and SAF SuperWarehouse work strictly on the operational level within a predefined framework limited by influencing factors. Savings potentials in replenishment planning are therefore even more significant if other aspects are integrated into the cost optimization process and general logistics conditions are optimized as well.
SAF Services offer, within the SAF Analytics portfolio, innovative solutions for this complex task. They link inventory management with the automated planning process and calculate the cost optimized variant within restrictive specifications and conditions.
Benefits:
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