British Bakels to improve forecast accuracy with sofco Planning
sofco, a leading provider of integrated and collaborative End-to-End Planning Solutions for the Consumer Goods, Manufacturing and Retail sectors, are delighted to announce that one of our speciality retail customers have extended the roll out of sofco Demand Planning WSSI (Weekly Sales, Stock and Intake).
Being able to maximise sales, and improve service levels, while keeping costs to a minimum are some of the reasons why this speciality retailer has extended the roll out of sofco Demand Planning WSSI (Weekly Sales, Stock and Intake), now fully live.
This speciality retailer who operates more than 2,800 stores worldwide under iconic brand names, can now efficiently plan stock based on sales forecast, actual sales and actual stock information, whether sitting in their head office, regional offices, or working from home. Keith Noble, CEO at sofco said, “The roll out is now live on sofco’s Cloud Architecture, and has been incredibly successful, following great work by both teams, ensuring that the project milestones were met. Well done to everyone involved”
The previous solution relied on ageing software populated from Excel spreadsheets which had been manually created, prone to error, and did not fulfil all their planning requirements. sofco Demand Planning WSSI allows the automatic import of data from multiple data sources and can allow aggregations and data management at all levels of the Hierarchies. The customer’s processes are now fully supported allowing the integrated planning and reporting of all aspects of the retail planning, review, and authorisation process. Full archiving of the model values on a weekly basis and data exports to the business BI solution are also provided allowing the continuing use of legacy programs and processes whilst allowing the business to plan forward for further improvements.
The whole business can now concentrate on maximising sales whilst knowing that stock levels are effectively controlled and optimised, while continually managing their inventory based on sales forecasts, historical sales, and past and future stock information.
