• Identified right subcategory based on private label penetration, price fluctuations etc.
                    • Analyzed data availability & coverage at SKU level
                    • Found the desired private label brand comparable for each national brand
                    • Analyzed price fluctuations and BoM variations between national and private brands to identify the root cause
                    • Created interactive dashboards using standardized data for better decision making
                    • Extended the process to all feasible product categories

                    KEY BENEFITS

                    • The price negotiation process was automated and made it feasible to run the analysis frequently to validate the raw material costs with higher visibility and transparency into vendor prices
                    • The dashboard helped understand the price fluctuations between national brands and private brands to make an informed decision
                    • AI driven product mapping 3rd party website scrapping helped in improving the coverage of all national brand products for better comparison


                    • The client was able to negotiate better prices for the raw material and re-negotiate the price when the raw material costs fluctuated, this ended up in 3% average savings for procurement