Reducing Stockouts Despite Long Lead Times

Tl;dr: Reducing stockouts with AI-powered inventory intelligence through Intuendi helped La Casa de las Baterias cut stockouts by 25% while managing 1,000 SKUs across four countries and long 2–6 month supplier lead times more reliably. La Casa de las Baterias, a leading Central American battery and energy systems provider with 75 branches across four countries, serves a wide range of customers spanning vehicle fleets, industrial equipment operators, logistics companies, and home energy consumers. As the business expanded, so did the complexity of its supply chain. Managing nearly 1,000 SKUs across multiple countries meant balancing highly variable demand patterns, long supplier lead times ranging from two to six months, and strict minimum order quantities that often required purchasing at full-container scale. A single forecasting mistake could result in either lost sales from stockouts or excess inventory sitting idle for months. For Juan Raúl Gómez, Regional Procurement Manager, the challenge wasn’t simply about ordering more inventory. It was about creating a smarter, more resilient planning operation capable of supporting aggressive growth without sacrificing availability, cash flow, or customer trust.

The Challenge: Reducing Stockouts with Long Lead Time Suppliers

Like many growing distributors, La Casa de las Baterias initially relied on spreadsheets, internal knowledge, and manual planning processes to manage replenishment decisions. But as the company scaled, traditional planning methods became increasingly fragile. The team faced several structural constraints:

• Supplier lead times stretched from two to six months, making reactive planning impossible
• Large minimum order quantities required container-level optimization and careful capital allocation
• Demand variability across regions made it difficult to accurately predict which SKUs would surge and which would slow down
• High-demand products needed near-perfect availability, while slower-moving inventory risked tying up working capital
• Buyers spent countless hours manually reconciling spreadsheets, formulas, and supplier constraints just to generate monthly purchasing plans

The deeper problem was that conventional inventory planning tools were never designed to handle this level of interconnected complexity. Static reorder points and spreadsheet forecasting could not continuously adapt to changing demand, shipping realities, and inventory risk across hundreds of products simultaneously. Without a more intelligent system, the company risked:

• Growing stockouts on critical products
• Rising inventory costs
• Reduced service levels across branches
• Slower operational decision-making
• Planning bottlenecks that could limit expansion

The AI-Powered Inventory Intelligence Solution

Rather than attempting to scale manual processes further, La Casa de las Baterias chose to modernize its planning operation with Intuendi’s AI-powered inventory intelligence platform. The company leveraged Intuendi to transform purchasing and inventory planning from a reactive process into a predictive, data-driven operation. Key capabilities included:

• AI-driven demand forecasting that analyzed historical sales patterns alongside external demand variables to anticipate future needs with greater accuracy
• Real-time inventory optimization that continuously identified understock and overstock risks before they became operational problems
• ABC+ analysis that helped prioritize investment in high-performing SKUs while reducing unnecessary inventory exposure on slower-moving items
• Intelligent purchase order recommendations that accounted for supplier constraints, minimum order quantities, and advanced container-space optimization simultaneously

Instead of relying on fragmented spreadsheets and manual calculations, buyers could now make decisions using continuously updated intelligence that balanced service levels, financial constraints, and operational realities. As Gómez explained:

“The complexity of the data reached a point where we had to spend tens of hours building complex spreadsheets with hundreds of formulas just to determine what we needed to purchase the next month. Many costly mistakes were made.”

By adopting AI-powered planning, the company was able to shift from manually managing complexity to strategically navigating it.

The Results

The impact extended beyond operational efficiency. La Casa de las Baterias gained the ability to scale more confidently while maintaining tighter control over inventory performance. Key outcomes included:

• A 25% reduction in stockouts, improving product availability and customer service levels
• Continued business growth without disproportionately increasing total inventory value
• Faster, more confident purchasing decisions across the procurement team
• Reduced time spent on manual spreadsheet work, allowing buyers to focus on strategic planning and supplier management
• Greater visibility into inventory risk across the network

Most importantly, the business strengthened its ability to consistently deliver for customers despite operating within one of the most difficult supply environments in retail and distribution.

The Advantage Gained

La Casa de las Baterias didn’t solve its supply chain challenges by simply buying more inventory or adding more manual controls. Instead, the company recognized that modern supply chains require modern intelligence. By combining the operational expertise of its procurement team with Intuendi’s AI-powered planning capabilities, La Casa de las Baterias transformed long lead times, container constraints, and demand uncertainty into manageable, predictable processes. The result was not only fewer stockouts, but a more scalable, resilient operation capable of supporting continued expansion across Central America. In an environment where traditional planning methods increasingly struggle to keep pace with volatility and complexity, La Casa de las Baterias demonstrated how AI-powered inventory intelligence can become a competitive advantage.