Tl;dr: This case study shows how Greg’s Motor Spares transformed complex inventory operations into a growth engine by using Intuendi’s AI-driven demand forecasting and SKU-level allocation tools. Over two years, revenue increased by 147% while stockouts dropped by 35%, proving that precision planning can unlock both service and growth.
For automotive parts distributors, managing thousands of SKUs across multiple locations is both a strategic advantage and a logistical challenge. Greg’s Motor Spares, a leading regional spare parts and auto repair company based in Namibia, operates 31 locations across 30 regions, managing a catalog of 33,000 SKUs. Their operations rely on complex allocation systems, location-specific ABC-based decisions, and a strong focus on maintaining high service levels for a wide range of customers.
As the company scaled, Greg’s Motor Spares identified an urgent need: balancing having enough inventory with keeping costs low, while quickly responding to unpredictable demand at each location. High-value, low-volume products were especially difficult to manage, as traditional tools couldn’t effectively prioritize the best opportunities.
The Challenge
Despite strong growth, the company faced persistent friction in daily operations:
- High cost of slow-moving SKUs tying up capital
- Sporadic, location-specific demand that was hard to predict
- Constraints from multiple suppliers, each with unique pricing and lead times
- Inefficiencies in allocation and transfer decisions at the SKU-location level
The core problem wasn’t inventory size, it was visibility and precision at the granular level. The team needed to know not just what to stock, but where, when, and in what quantities to maximize revenue while reducing stockouts.
The Strategic Shift with Intuendi
Greg’s Motor Spares’ leadership recognized the time was right to leverage technology for smarter planning, in particular AI demand forecasting for complex inventory optimization. With a vision to combine deep operational expertise with AI-powered insights, they partnered with Intuendi and leverage Intuendi’s demand planning and forecasting platform to:
- Deploy spotlight functionality for SKU-location allocation, identifying high-value opportunities
- Optimize purchasing and transfers across the network
- Apply ABC-driven analytics at the location level to differentiate fast movers from slow movers
- Integrate advanced forecasting models capable of handling low-volume, high-revenue products
Intuendi provided the platform, AI models, and analytics tools, while the Greg’s team led the implementation of those insights and recommendations.. Using their deep knowledge of regional demand, supplier dynamics, and operational priorities, Greg’s turned insights into clear purchasing and transfer decisions.
Results Driven by Demand Forecasting
Over just two years, Greg’s Motor Spares experienced transformative outcomes:
- Stockout rates decreased across all classes by an average of 35%, improving service without overstocking
- High-value low-volume products captured through spotlight functionality saw a 128% increase in units sold
- Revenue growth surged 147%
- ROI improved 32%
- Average Revenue/Inventory ratio remained strong and stable, demonstrating disciplined capital deployment
By focusing on granular SKU-location insights, Greg’s Motor Spares not only reduced stockouts, but also captured previously missed revenue opportunities, turning complexity into a competitive advantage.
“Intuendi has brought greater precision to our procurement decisions. From a Procurement Manager’s perspective, the platform has helped us respond more effectively to demand, optimize purchasing and transfers, and manage inventory complexity in a way that supports both customer service and profitable growth.”
Advantage Gained
Greg’s Motor Spares now operates with precision, foresight, and agility. Leveraging Intuendi AI, the client’s team can respond to market fluctuations with confidence, optimize working capital, and ensure customers receive the right parts at the right time. The combination of operational expertise and advanced analytics has transformed inventory from a potential constraint into a growth engine.
