Sales Intelligence

AI Sales Forecasting Tool

A sales forecasting tool that analyzes historical data, market trends, and customer behavior to predict future sales with 92% accuracy, enabling better inventory management and resource allocation.

Client

Retail Chain

Timeline

5 months

Team

6 specialists (2 data scientists, 1 front-end developer, 1 back-end developer, 1 business analyst, 1 project manager)

AI Sales Forecasting Tool

Project Overview

A retail chain with over 200 locations was struggling with inventory management and sales planning. Inaccurate forecasts were leading to overstocking in some locations and stockouts in others, resulting in lost sales and excess inventory costs.

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The Challenge

Our client faced several significant challenges that needed to be addressed:

  • Improve sales forecast accuracy from 70% to at least 90%
  • Account for seasonal variations, local events, and market trends
  • Create location-specific forecasts for 200+ stores
  • Enable what-if scenario planning for marketing campaigns and promotions
  • Integrate with existing inventory management and POS systems

Our Solution

We developed a comprehensive solution tailored to the client's specific needs:

  • Developed a machine learning-based forecasting system that analyzes multiple data sources
  • Created models that incorporate weather data, local events, historical sales, and market trends
  • Built a scenario planning tool that allows managers to simulate different promotional strategies
  • Implemented automated inventory recommendations based on forecast data
  • Designed an intuitive dashboard for store managers and executives

Technologies Used

Machine LearningPythonVue.jsSQLPower BIAzurescikit-learn

The Results

Our solution delivered significant measurable results for the client:

  • Improved forecast accuracy from 70% to 92%
  • Reduced excess inventory costs by $2.8M annually
  • Decreased stockout incidents by 64%
  • Optimized staffing levels, reducing labor costs by 12%
  • Increased overall sales by 8% through better inventory availability

"The sales forecasting tool has transformed our inventory management. We're now able to have the right products in the right stores at the right time. The reduction in both stockouts and excess inventory has had a direct impact on our bottom line."

Jennifer Williams

VP of Retail Operations

Retail Chain

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