Client
A mid-sized industrial parts manufacturer in Mobile, AL with 150+ employees serving customers across the Gulf Coast
Industry
Manufacturing / Industrial Supply
Services Provided
Custom Software Development, AI Integration, Data Analytics, Business Process Automation
Technologies Used
Python, TensorFlow, React, PostgreSQL, AWS, REST APIs
1 The Challenge
This Gulf Coast manufacturer had been in business for over 30 years, building a reputation for quality and reliability. But their inventory management hadn't kept pace with their growth. They were using a combination of spreadsheets, gut instinct, and their legacy ERP system to manage over 3,000 SKUs—and it was costing them.
Stockouts were happening monthly, causing production delays and frustrated customers. At the same time, their warehouse was packed with slow-moving inventory that tied up nearly $800,000 in capital. The operations manager was spending 25+ hours every week just on inventory-related tasks: counting stock, reconciling discrepancies, and placing orders manually.
They'd looked at off-the-shelf inventory software, but nothing integrated well with their specialized ERP system or addressed the unique demand patterns of their industrial customers. They needed a custom solution.
2 The Solution
We started with a deep dive into their operations—spending time on the warehouse floor, interviewing staff, and analyzing three years of historical sales and inventory data. This revealed patterns that no one had noticed: certain products always sold together, demand spiked predictably before major industrial maintenance cycles, and their longest delays came from just 12 suppliers.
Armed with these insights, we designed and built a custom inventory intelligence platform that integrates directly with their existing ERP and accounting systems. The solution uses machine learning to forecast demand at the SKU level, automatically generates purchase orders, and provides real-time visibility into inventory health.
Key Components:
- Predictive Demand Engine: ML model trained on historical sales, seasonality, customer patterns, and external factors to forecast demand 90 days out
- Automated Reorder System: Smart triggers that generate POs based on predicted demand, lead times, and optimal order quantities
- Real-Time Dashboard: Custom interface showing inventory health scores, alerts, and actionable insights at a glance
- ERP Integration Layer: Bidirectional sync with their legacy system, eliminating double-entry and data discrepancies
3 The Results
Within the first month of deployment, the system was already outperforming their manual forecasting. By month four, they had achieved full return on their investment and the benefits continue to compound.
35%
Inventory Carrying Cost Reduction
Over $280,000 freed up in working capital
Zero
Stockouts in 6 Months
Down from 3-4 per month previously
25 hrs
Weekly Time Savings
Operations manager refocused on strategic work
92%
Demand Forecast Accuracy
Up from ~60% with manual methods
Beyond the numbers, the warehouse team reported significantly reduced stress levels. They no longer scramble to expedite emergency orders or explain delays to frustrated customers. The operations manager now spends his time on process improvements and strategic planning instead of spreadsheet wrangling.
Key Takeaways
Custom beats off-the-shelf when integration matters. Generic inventory software couldn't talk to their legacy ERP. A custom solution that integrates seamlessly pays for itself quickly.
AI doesn't replace expertise—it amplifies it. The system learned from decades of institutional knowledge. The operations team's insights made the AI smarter.
ROI came faster than expected. By focusing on high-impact features first, the system paid for itself in four months—not the two years they'd budgeted for.
Struggling with Inventory Management?
Whether you're a manufacturer, distributor, or retailer, we can help you build custom solutions that eliminate waste and improve efficiency.