A 40-year-old company engaged in manufacture and sale of a range of footwear and accessories. The operations cover 8 manufacturing units producing over 0.6 million pair of footwear every day. They were sold through over 250 retail stores spread across the country and fulfilled by 8 distribution centers. Product offering includes 10 major brands with product lines with over 3000 SKUs.

The company used spreadsheet for sales forecasting and stock planning. The process was time consuming, resource driven and highly error prone leading to several operational issues. The company was looking to improve the forecast accuracy, automate stock planning and collaborate efficiently.

Key Challenges

Spreadsheet Based Sales Estimations

Manual forecasting process Delayed time planning timelines Stock imbalances

Judgment Based Supply

Resource dependent supply requirements for warehouse and store level stocking

No Collaboration And Analytics

Lack of systematic collaboration with sales on forecasting. No analytics and reporting process in place


Statistical Forecasting System

Cloud based low cost planning tool No capex investment. Plug & play Statistical forecast at store - sku level

Automated Supply Planning

Automated forecast based supply calculations at store and warehouse levels

Online collaboration & Business Intelligence

Role based online collaboration Trend, market share & promo analysis Exceptions report to review forecast

Key Benifits

Quick forecasting System deployment within 2 weeks

Cloud forecasting system and BI platform

Insightful analysis and tracking resulting in immediate improved forecasting accuracy by 5%

Faster and resource agnostic process leading to quick response times