DFS wanted to improve their in-store experience for customers. Their existing system failed to accurately forecast demand, and their approach to scheduling often left money on the table. Given that sales reps earn commission on in-store sales, they also wanted schedules that gave reps equal opportunity to earn commission.
AI for workforce
Workforce optimisation for DFS
Satalia utilised demand forecasting to help DFS improve in-store experiences for both their employees and their customers.
18%
Increase in conversion rate
Challenge
Solution
We built a demand forecasting model which used historical footfall, sales data and weather to produce hourly foot-fall predictions, 10 weeks in advance. Using those forecasts, we then optimised staff schedules, suggesting the exact employees needed to serve hourly demand.
£230k revenue increase in 1 store over 11 weeks
77% footfall forecast accuracy
1hr to generate schedules (10w in advance)
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