District Customer Relationship Management System

Smart CRM and business analytics platform for 1 District, 7 Taluka and 255 Villages with sales analysis, product demand prediction, purchase management, festival demand tracking and customer insights.

District Business Summary

Overall district sales and customer analytics

Total Taluka

7

Total Villages

255

Total Sales

₹ 2.8 Cr

Total Purchase

₹ 1.9 Cr

How Sales & Purchase Calculation Works

CRM product analysis and customer demand formula

Sales Formula

  • Total Sales = Product Qty × Product Price
  • Village Sales = Sum of all customer orders
  • Taluka Sales = Sum of village sales
  • District Sales = Sum of all taluka sales

Purchase Formula

  • Total Purchase = Stock Buying Cost
  • Purchase Demand = Previous Sales Trend
  • Reorder Level = Remaining Stock Analysis
  • Profit = Sales - Purchase Cost

Demand Prediction

  • Festival Product Analysis
  • Seasonal Demand Forecast
  • Village Wise Product Trend
  • Customer Purchase History

High Sales Product Analytics

Top customer demand products in district

Product Village Demand Taluka Sales Festival Demand Purchase Qty Status
Cooking Oil 12,500 Units ₹ 22,00,000 Diwali High 15,000 High
Rice Bags 8,200 Units ₹ 18,00,000 Marriage Season 10,000 High
Cold Drinks 5,600 Units ₹ 9,00,000 Summer Demand 7,000 Medium
Festival Sweets 2,400 Units ₹ 4,00,000 Navratri 3,000 Low

Festival & Event Demand Prediction

Customer product trend during events and festivals

Diwali Demand

Oil, sweets, dry fruits and decoration products show 300% sales increase during Diwali.

Winter Season

Tea, coffee, blankets and warm products increase during winter season.

Summer Demand

Cold drinks, ice cream and water bottles increase in all villages during summer.

Marriage Events

Rice, sugar, oil and gift item demand increases during wedding season.

CRM Data Entry

Village wise product sales and demand entry