Tl;dr: Optimizing inventory with AI-powered Intuendi, La Casa de las Baterias scaled from 10k to 15k SKUs while increasing products ready for delivery from 88% to 94% and improving ROI by 18% with 12% less inventory.
La Casa de las Baterias, a leading Central American battery and energy systems provider, was scaling rapidly across multiple countries, managing nearly 1,000 SKUs across 75 branches. As the company expanded its product catalog and customer base, optimizing inventory became significantly more complex.
The challenge was not simply carrying more products. It was ensuring the right inventory was available at the right time without tying up excessive capital in slow-moving stock. Long supplier lead times, container-based purchasing, and fluctuating demand created constant pressure on service levels, profitability, and working capital.
For Juan Raúl Gómez, Regional Procurement Manager, it became clear that traditional inventory management methods and spreadsheet-based planning could no longer support the scale of the operation. The company needed a smarter approach to inventory optimization and demand planning that could support growth without increasing inefficiency.
The Inventory Optimization Challenge
La Casa de las Baterias needed to balance several competing priorities simultaneously:
- Expanding product availability while maintaining healthy inventory turnover
- Avoiding overstock on slow-moving SKUs while protecting availability for high-demand products
- Maximizing container space utilization across purchase orders
- Improving inventory ROI without compromising customer service levels
- Reducing manual planning work that slowed purchasing decisions
Like many growing distributors, the company faced a common supply chain problem: traditional inventory planning systems struggle when SKU counts, supplier constraints, and operational complexity increase simultaneously.
Without better inventory optimization, working capital risked becoming trapped in excess stock while planners spent valuable time manually adjusting spreadsheets and replenishment calculations.
The AI Inventory Optimization Solution
To modernize inventory planning, La Casa de las Baterias implemented Intuendi’s AI-powered inventory optimization and demand forecasting platform.
Using Intuendi AI, the company was able to:
- Align inventory planning with real demand patterns, seasonality, and sales trends
- Monitor inventory levels in real time to identify understock and overstock risks early
- Use ABC+ inventory analysis to prioritize investment in fast-moving, high-impact SKUs
- Optimize purchase orders and container utilization simultaneously to improve inventory efficiency
- Support faster, more data-driven purchasing decisions across branches and product categories
Instead of relying on static spreadsheets, the procurement team gained continuous visibility into inventory performance and replenishment priorities.
As Gómez explained:
“With Intuendi, all the information we need is just a couple of clicks away. It has saved my team and me so much time, and our company a lot of money. We can now focus on the big picture!”
This allowed the company to dynamically rebalance inventory, improve stock availability, and allocate capital more strategically as the business continued to grow.
The Results
The impact of AI-powered inventory optimization extended across both operational efficiency and financial performance:
- Product catalog expanded from 10k to 15k SKUs
- Products ready for delivery increased from 88% to 94%
- ROI improved by 18% (Profit/Inventory Value ratio) despite carrying 12% less inventory compared to the previous peak
- Inventory planning became more scalable and efficient during expansion
- The company improved product availability without over-investing in stock
The results demonstrated that better inventory optimization is not about holding more inventory, it is about using better intelligence to allocate inventory more effectively.
The Advantage Gained
By combining La Casa de las Baterias’ growth strategy with Intuendi’s AI-powered inventory intelligence, the company transformed inventory management into a strategic advantage.
Instead of reacting to inventory problems after they occurred, the team could proactively optimize stock levels, improve purchasing decisions, and support business expansion with greater confidence.
In increasingly complex supply chains, La Casa de las Baterias demonstrated how AI inventory optimization and demand forecasting can help distributors increase product availability, improve ROI, and scale more efficiently.
