Case Studies
Fortune 500 bank automates workforce planning and saves over $100million
A Fortune 500 bank automated their workforce planning and saved over $100million while reducing risk. Before, they were using multiple spreadsheets and scenario modelling took 3-5 days. After automation, scenario modelling is almost instantaneous and they have had a 2.6% decrease in personnel costs.
South African insurer saves 92% of management reporting process after automation
A South African insurer had a slow management reporting process involving finance, distribution and in-country claims and underwriting teams across 27 countries. After automation, they implemented rolling forecasts, and detailed budgeting at profit and cost centre, LoB, and branch level, with a 92% time saving.
French insurer used to create P&L statements in weeks, after automation it is now days
A French insurer’s planning team would spend weeks preparing P&L statements. After connecting finance, sales, and marketing planning processes, P&L statements are created in a matter of days. This 50%+ saving frees up time for more thorough analysis. In addition, they now have 100% reliable data.
US insurer reduces planning cycle by 60%
A US insurer used to have an 18-week planning process mostly spent collecting data, performing calculations, and reporting in spreadsheets. After automation and integration, the planning cycle completes in seven weeks (a 60% reduction), and they save 6,000 hours a year.
Middle-East parking services company increased operational performance 10%
A Middle-East parking services company were using spreadsheets for budgeting, planning and reporting processes. Having connected finance and sales planning processes, they reduced month-end close process from 3 weeks to 4 days, saved the finance team 1 day a month, and increased operational performance 10%.
UK banker handling 250 000 calls per month improved customer demand forecasting by 7%
A UK-based banking group with nearly 20 million customers, multiple customer engagement channels, and 250 000 calls per month, needed to improve customer demand forecasting. Now, accuracy has improved from over 12% deviation to under 5% deviation, and customer service and NPS score have increased.
US packaging manufacturer reduced forecasting process by 83% and inventory by 16%
US packaging manufacturer Novolex had a big gap between the sales plan and the production plan. After connecting the business functions, including engineering, marketing, sales and operations planning processes, they reduced the six-week forecasting process to less than one week (an 83% reduction), reduced inventory by 16%, and reduced the available capacity analysis from weeks to a few hours.
Brazilian Coca Cola bottler Solar reduced financial reporting by 25% and saved five days a month
Brazilian Coca Cola bottler Solar’s financial reporting process involved manually extracting data from multiple sources, loading into spreadsheets, and running error-prone models. Automation has saved 25% of their time, increased reporting output by 10x (with no increase in headcount), and saved five days a month. And they now provide real-time detailed margin per SKU/packaging/customer.
