The Challenge

A building materials retailer had been managing purchasing decisions entirely by experience, with no demand forecasting process and no inventory control models in place. Stockouts of fast-moving products and excess stock of slow-moving items were eroding margins and tying up working capital. Management needed both the knowledge and the practical tools to shift to data-driven inventory management. The engagement required a combined approach: structured training to build capacity, and hands-on consultation to build and implement models directly on the company's own data.

Our Approach

Delivered 5 structured lecture sessions covering Demand Forecasting and Inventory Management
Applied regression analysis and time-series forecasting directly to company sales data
Built customised inventory control models (EOQ, ROP, Safety Stock) using actual product data
Developed automated purchase-order equations (Excel-based) for day-to-day replenishment decisions
Provided hands-on inventory consultation: analysed existing stock levels and identified over/under-stock items
Recorded all training sessions for future reference and onboarding of new staff
Conducted a catch-up session to reinforce applied skills and answer implementation questions

Analytical Methods Used

Demand Forecasting (Moving Average, Exponential Smoothing)

Regression Analysis & Time-Series Modelling

EOQ (Economic Order Quantity)

Reorder Point (ROP) Calculation

Safety Stock & Service Level Optimisation

Automated Purchase-Order Equation Design

Tools Used

Microsoft Excel

Supply Chain Training Courses

Key Outcomes & Results

Fixed 85% of internal supply chain issues as reported by the CEO in 2026
Trained the full team on forecasting and inventory management from theory to practice
Built and deployed Excel-based inventory models on the company's live product catalogue
Automated purchase-order calculations, reducing manual ordering effort significantly
Established a repeatable demand forecasting process using regression and time-series methods
Identified excess and shortage items, enabling immediate inventory optimisation actions
Equipped the team with reusable templates and recorded sessions for continuous self-improvement

Construction Supply Chain Planning and Inventory Optimization

The Challenge

Our Approach

Analytical Methods Used

Tools Used

Key Outcomes & Results

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