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Sales & Marketing

B2B

Sales Analytics

1200+

Hours Saved Per Year

500+

New Recruits Added

15%

Revenue Growth(YoY)

About Company

Ongoing

One of the leading distributors of a direct sales brand pan India

 Region of sales – Bhayander, Mira Road, Dahisar, Borivali, Kandivali, Malad, Mulund

  • Reduce time-to-decisions and save time for the distributor on manual reports 

  • Improving decision making and making data backed decisions

  • Reactivate non productive salesforce to tap in lost revenue

The Problem

Maintain the sales especially post pandemic. Aim was to bring back the sales on track by using historical data analysis to segregate the direct sales group (consultants)

Challenges & Opportunity

Python, Power BI, Power Apps, Power Automate, Power BI Report Builder, SQL​

Technologies

  • Employed data science techniques to gather the raw data, cleanup, engineer new features and use segmentation techniques to identify the categories of workforce. Insights achieved –

  •  High/Low motivated VS High/Low performers

  •  Survey based sentiment Analysis

  •  Product selling pattern – Seasonality

  •  Intelligent Targets

Strategies We Used

Results

  • 700+ hours saved per year evaluating performance of 200+ team

  • Reactivated 50+ inactive sales force consultants. 

  • 5,00,000+ Monthly revenue growth & 20+ new recruits added. 

  • Impacted monthly revenue growth Rs 2,50,000+

  • Distributor regain top position in India post pandemic (from 3rd position).

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