business leveraging data analytics objective & …€¦ · retail ecosystem the denave edge...
TRANSCRIPT
THE CHALLENGEGenerating a cohesive view providing actionable business insights derived from integrating multiple retail engines working in silo
Identifying growth drivers behind Identifying growth drivers behind successful store operations
Adjudging authenticity of sales figures
LEVERAGING DATA ANALYTICS & DRIVING EFFICIENCIES IN RETAIL ECOSYSTEMTHE DENAVE EDGEHighly customizable Data Analytics engine to deliver distinct, specific and desired results
Capability of developing an integrated methodology using an automated data standardization further enhanced by data visualization
Backed by an extensive retail operations experience garnered via Backed by an extensive retail operations experience garnered via servicing over 20 large clients
CUSTOMERHardware retail operations of world’s leading technology company
PROGRAM REACHPan India across multiple product categories
BUSINESS OBJECTIVETo maximise sales and optimize stock level at retail stores leveraging data analytics techniques.
THE RESULTS100% accuracy in predicting unplanned stock-outs overcoming loss of sales.
Identified store-level growth drivers and retained 90% of top performing stores.
Curtailed impact on sales from 50% to 10% due to competition’s new product launch.
Customer intelligence leveraged to respond to inaccurate product Customer intelligence leveraged to respond to inaccurate product perception via customized sales pitch. This brought down the count of dissatisfied customers from 20% to less than 5%.
SERVICES OFFERED
Sell out and stock analysis for productivity improvement.
Integration with partner ecosystem to provide an end-to-end supply chain view.
Competition intelligence for right pricing, promotions & offers.
Customer intelligence to understand Customer intelligence to understand customer behavior and preferences for optimal targeting.
Measuring training effectiveness and its impact on issue management