Kitchen Tools Company-Retail
Intelligent workforce management
Problem
The client sought to develop an early intervention strategy aimed at boosting sales. They needed to identify consultants (Director level and above) who were at risk of not meeting their revenue targets, allowing for proactive measures to address any challenges before it was too late.
Solution
An AI-powered predictive solution was developed, utilizing an ensemble of machine learning models to accurately forecast a consultant’s likelihood of meeting their revenue targets based on their forecasted sales.
Outcome
The solution led to increased consultant engagement and effectively boosted overall sales performance, helping the client reach and exceed their revenue goals.


Automating Early Intervention to Enhance Sales Performance and Consultant Engagement
To monitor and boost sales performance, The client sought an automated process to identify consultants (Directors and above) at risk of not meeting revenue targets. This proactive measure would allow them to address challenges early. The AI powered solution employed an ensemble of machine learning models, including a Binary Classifier for title prediction and a Regression Model to forecast sales projections. XG Boost was chosen for its superior performance metrics, and the system was designed to identify consultants at risk based on these forecasts.



The implementation of the predictive solution led to significant improvements in both consultant engagement and sales performance. Within six months, consultant engagement increased by over 28%, which helped drive stronger relationships and productivity. Additionally, the sales performance saw an uplift of more than 12%, indicating a direct correlation between early intervention and improved revenue.
Boosted Sales, productive consultants
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