Retail

Category Management ‘Single Source of Truth’ (Power BI)

+3% Case fill-rate improvement

Client context

The furniture retailer needed a single dashboard solution which would merge their product range with inventory statistics and sales performance data and supplier performance indicators to enhance their category management decision-making abilities. Data existed across multiple tools; reporting was slow and inconsistent across teams.

Problem size

The system failed to provide adequate visibility about stock-out events and slow-moving items and supplier delivery delays which resulted in product losses and unnecessary inventory accumulation. Manual reconciliation between commercial, supply chain and finance views delayed decisions.

What KEPLER did
  • Analytics + operating rhythm
  • The system unites POS data with inventory information and purchase orders and supplier master data into a single complete model.
  • The organization established a standard KPI package which included sales performance and margin levels and stock availability and stock depletion rates and delivery timeliness and supplier delivery schedules.
  • The system requires a dashboard construction that uses Power BI to create an interactive dashboard which enables users to access store/category/SKU details through drill-down functionality and provides weekly category review reports.
  • The company implemented two main strategies for improvement. The organization trained its category managers to perform their duties effectively while developing decision templates which included procedures for handling slow-moving products and supplier emergency situations and product reordering thresholds.
Results

Category management cockpit consolidating multi-source data into one dashboard with standard KPIs and self-service analysis. Improved alignment across commercial, supply chain and finance via one KPI language. Control-tower style visibility programs have reported inventory reductions of 5-15% and OTIF improvements of 5-7%. +3% case fill-rate improvement without additional working capital.

Key findings/ Suggestions: The system needs to perform demand forecasting and replenishment recommendation functions which will convert its decision-making system from descriptive to prescriptive. The system needs supplier scorecards which should contain particular action owners and established escalation protocols.

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