INCREASE PROFIT AND REDUCE ADMINISTRATION COST WITH THE IDEAL STAFF-SCHEDULE ONE YEAR A HEAD
THIS IS HOW OUR ALGORITHM WORKS
Segmentation by departments
At first, we feed the historical visitor data into our system. The most relevant data includes various seasonal features, fine-tuned and broken down even to hours. Nevertheless, we also use a bundle of other key business drivers tailored to each client, which guarantees the most precise predictions and makes our service one-of-a-kind.
Average monthly forecast accuracy:
R2 ~ 85-95%
MAPE ~ 10-15%
Striving for the optimal staff-to visitor ratio is critical to maintain the desired customer conversion rate. Aimy compares management plans with its own findings based on visitor forecasts and custom-made analysis of client`s business characteristics. This allows to create the ideal blueprint, to give hourly and daily up- and down-staffing recommendations and identify the emerging changes in salary costs.
Recommendations are given only if their implementation would boost the gross margin.
Optimal staffing by Departments
High-turnover and low-margin items often require minor consultant attention, while slow-moving and highly profitable products call for greater service level. Different departments require different sales strategies and the above mentioned factors are just a few of many to consider while further distributing the workforce.
Aimy learns from past operational decisions at department level, combines its learningswith a unique set of ever changing external business factors and provides hourly visitor forecasts and staffing recommendation. Thus, Aimy can strive for the highest customer conversion rate and profit at any given hour targeting each department independently.