TurnB Approach


  • Analysed existing inventory management and manual reordering practices to identify operational inefficiencies.
  • Conducted detailed discussions with product category managers to understand category-specific requirements and reorder criteria across different product types.
  • Applied scientific, data-driven methods to calculate optimal reorder points and reorder quantities, factoring in supplier lead times, demand variability, and minimum display quantities.
  • Designed and implemented an automated inventory replenishment system for locally procured SKUs.
  • Integrated the automated reordering solution with existing procurement software to enable real-time updates and ensure seamless adoption.
Approaches background
Infograph

Implications

  • 67% reduction in manual workload, with automated SKU-level reorder recommendations saving time and reducing operational costs.
  • Optimised inventory management, preventing stockouts and reducing overstocking, improving capital utilisation and product availability.
  • Enhanced supplier management, with automated ordering improving transparency and strengthening supplier relationships.
  • Improved operational performance, as streamlined procurement enabled consistent product availability and improved customer experience.
  • High-volume automation, with thousands of SKUs reordered daily, minimising manual intervention and improving order accuracy.
  • Reduced opportunity loss, as timely reordering of high-performing SKUs lowered daily sales losses and improved revenue capture.