Loading...
CASE STUDY

Retail Operational Excellence & Stock Variance Reduction

Transforming supermarket operations through data-driven inventory optimization and process excellence

Business Challenge

A growing supermarket operation was experiencing:

  • High stock variances between system and physical inventory
  • Weak internal controls and process inconsistencies
  • Limited visibility at SKU and category level
  • Inefficient procurement and replenishment practices
  • Difficulty competing with modern trade retailers

The business needed a structured program to stabilize operations, improve accuracy, and build data-driven decision-making.

Objective

The end client, a global software leader with offices across multiple countries, needed a custom CRM system capable of:

  • Reduce stock variance to industry benchmarks (≤1–2%)
  • Achieve inventory accuracy above 98%
  • Strengthen operational controls and discipline
  • Improve technology utilization and reporting
  • Establish sustainable governance and accountability

Approach

A risk-based, progressive improvement program was implemented using:

  • Business Process Re-engineering (BPR)
  • PDCA (Plan–Do–Check–Act)
  • Root Cause Analysis (RCA)
  • Cycle counting and internal audit controls

The program focused first on high-variance categories, then expanded controls across the business in five structured stages.

Key Actions Implemented

  • End-to-end process review and gap analysis
  • Targeted stock counts on high-risk categories
  • SOP revisions and staff training
  • Daily reconciliation and approval workflows
  • Barcode and scanning improvements
  • Dashboards and exception reporting
  • Physical loss prevention and segregation of duties
  • Final full-store validation count

Best Practices Introduced

  • ABC / FSN inventory classification
  • Regular cycle counting instead of ad-hoc stock takes
  • Segregation of duties in receiving and adjustments
  • Zero tolerance for undocumented changes
  • Data-driven procurement planning
  • Exception-based management dashboards
  • Continuous staff training and compliance tracking

Results Achieved

Stock Variance

Reduced to near benchmark levels

Stock Accuracy

Achieved above 98%

Shrinkage

Significant reduction

User Compliance

Improved to over 95%

Data Reliability

High confidence in system inventory

Business Impact

  • Improved shelf availability
  • Lower capital tied up in slow-moving stock
  • Stronger internal controls and audit readiness
  • Better decision-making using reliable data
  • Sustainable operational governance framework

Conclusion

Through a structured and practical transformation program, Navitsa helped the retailer move from reactive firefighting to controlled, data-driven operations. The engagement delivered measurable financial and operational benefits while building a strong foundation for long-term growth.

Industry

Supermarket Retail

Service Area

Business Process Consulting & Inventory Optimization

Duration

3 Months