Sales Forecast Application – Mendix Case Study

Sales Forecast Application

About the Client

The client is a global engineering and technology organization that depends on accurate sales forecasts for financial planning, revenue tracking, and performance analysis across business units.

Business Challenge

Sales and revenue forecasts were managed manually using Excel, leading to

Business Challenge
Complex and error-prone calculations
Difficulty maintaining historical data
Limited visibility into year-on-year revenue changes
Time-consuming reporting processes

Solution Approach

MXTechies developed a custom Mendix Sales Forecast Application that enabled:

Bulk import of forecast data using configurable templates
Centralized master data maintenance
Automated revenue calculations during data import
Financial year-based revenue comparison
Delta comparison between forecast versions
Downloadable Excel reports

Project Overview

Client

Client :
Global Engineering & Technology Company

Industry

Industry :
IT / Sales

Project

Project Name :
Sales Forecast Application

Duration

Duration :
3 Months

Services Delivered

● Sales forecast process digitalization

● Dynamic revenue calculation by financial year

● Bulk data import and historical data management

● Revenue comparison and delta analysis

● Excel-based report exports

Tools & Technologies Used

Mendix
Sql
java

Implementation Highlights

	Replaced manual Excel processes with a web-based application

Replaced manual Excel processes with a web-based application

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Enabled real-time revenue comparison and tracking

	Improved data accuracy and stakeholder visibility

Improved data accuracy and stakeholder visibility

	Delivered within a tight 3-month timeline

Delivered within a tight 3-month timeline

Business Outcomes

Fully functional enterprise sales forecast application
Successful import of large and historical datasets
Automated and accurate revenue calculations
Faster decision-making through clear comparisons

From Manual Forecasting to Automated Revenue Insights

01

Centralized data

Sales and revenue data managed in one system.

02

Automated calculations

Revenue calculated dynamically with year-wise comparison.

03

Better decisions

Clear insights for faster and accurate decision-making.