Business Process Consulting & Inventory Optimization
Duration
3 Months
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
Metric
Outcome
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.
