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.
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
Quick forecasting System deployment within 2 weeks
Cloud forecasting system and BI platform