12
%
Increase in Sales Serviceability Ratio
20
%
Reduction in Beat length time
11
%
Reduction in total number of beats
Key Features
Automated beat plans
Optimized sales beat plans for mobile workforce leading to increased profitability, resource efficiency, and time savings.
Historical data consideration
Takes historical salesman data into account, such as experience, total revenue generated, the assortment of goods sold, and familiarity with the stores.
Non-overlapping clusters
The non-overlapping clusters created for each 'defined group' ensures zero mirror beats in the output.
Outlet classification
Locus' algorithm takes into account business rules such as type, category and classification of outlets based on revenue, SKU stream sold and historical performance.
Salesman scores
Individual-level salesman scores to monitor performances based on historical data.
Geocoding engine
Simplifies and converts ambiguous addresses into exact geographic coordinates through "EVA" (Engine for Validation of Addresses).
Beats accounting for real-life constraints
Mimics and improvises factors like fatigue, time of day, seasonality, revenue targets etc.
