Case Study 03

ERP Platform for the European Pallet Industry

Industry-specific ERP for pallet manufacturers, traders and logistics companies, inventory, production, fleet, finance and forecasting in one system.

ERPIndustry-specific
AIPredictive analytics
EUMulti-country ops
Pallet Management ERP, Operations Dashboard Pallet Operations, Central Europe Real-time inventory · 12 warehouses · AI forecasting active INVENTORY ACCURACY 95.2% ↑ 12% vs last quarter OPEN ORDERS 847 142 pending dispatch FLEET UTILIZATION 88% AI route optimization on AI RECOMMENDATION Reorder EPAL pallets Stock below threshold in Warehouse Munich Warehouse Stock Levels MUCBERHAMVIEPRG Production & Repair Queue Batch #4821 · 240 EUR pallets · Scheduled Repair #1192 · 86 units · In progress Maintenance alert · Line 3 · Predictive signal
Executive Summary

Pallet Management ERP, a long-running platform partnership.

This ERP was built for pallet manufacturers, traders and logistics companies across Europe. Margins are thin, inventory moves constantly between repair cycles and fleet runs, yet many operators still run on spreadsheets and software that does not talk to each other.

Axesscom delivered the full workflow: purchasing and warehouse management through production, repair, invoicing and financial reporting. Trading partners get a customer portal for orders, stock levels and delivery status without calling the sales desk.

Forecasting and analytics run on operational data already in the system: demand by SKU and region, reorder suggestions, route optimization and maintenance alerts. Managers see live dashboards instead of waiting for month-end spreadsheets.

Key highlights

  • Full ERP suite mapped to pallet industry workflows
  • Analytics for forecasting, stock levels and route planning
  • Customer portal for B2B self-service ordering
  • Warehouse, production and fleet in one database
Customer Challenge

What was getting in the way.

Before the platform was modernized, manual processes and fragmented tools were slowing down work and creating compliance risk.

Stock counts on paper led to inventory that did not match the warehouse

Orders were re-keyed by hand, causing delays and typos

Forecasting was guesswork; warehouses sat overstocked or ran dry

Coordinating deliveries across sites and routes was manual

Leadership reviewed numbers from outdated spreadsheets

Finance, warehouse and CRM lived in separate legacy systems

Repair and production tracking happened outside the main system

Supplier performance was hard to judge without consolidated purchase data

Our Solution

One platform, built to last.

Axesscom delivered modular capabilities for each problem area, with clear metrics to track progress.

Sales module with quotes, orders and customer-specific pricing
Purchasing with supplier management and automated reorder triggers
Inventory management with real-time stock levels across warehouses
Warehouse Management with bin locations and transfer workflows
Production planning and batch tracking for manufacturing lines
Repair Management for pallet refurbishment cycles and quality grading
Fleet Management with route planning and vehicle utilization tracking
Financial Accounting Integration for invoicing and ledger posting
Reporting engine with configurable dashboards and export
Customer Portal for order placement, tracking and document access
AI demand prediction based on historical order patterns
Predictive maintenance alerts for production equipment
AI Integration

AI where it actually helps.

Models trained on historical orders, seasonality and supplier lead times produce demand forecasts that feed purchasing recommendations and low-stock alerts. The data stays in the ERP; forecasts update as new orders arrive.

The same analytics layer optimizes delivery routes, reads invoices via OCR, tracks supplier trends and flags maintenance needs on production lines. Managers act on current numbers, not a report compiled weeks later.

Demand prediction by SKU and regionStock level recommendationsAutomated purchase suggestionsDelivery route optimizationInvoice recognition via OCRSupplier performance trackingMaintenance alerts for production equipmentCustomer order pattern analysisExecutive dashboards with live KPIsAnomaly detection in inventory movements
System Architecture

How the platform is structured.

ERP Core Platform Business Services Layer Warehouse Production Finance CRM AI Analytics Engine Forecasting Optimization Reporting SQL Server
01ERP Core Platform, Sales, purchasing, inventory, finance and master data management
02Business Services Layer, Warehouse, production, fleet, CRM and repair domain services
03AI Analytics Engine, Forecasting, optimization, reporting and anomaly detection
04Forecasting Module, Demand prediction and seasonal trend analysis
05Optimization Module, Stock levels, routes and purchase timing
06Reporting Module, Real-time dashboards and scheduled report delivery
07SQL Server, Central transactional database with audit and history tables
Project Timeline

Years of delivery, not one-off projects.

From the first modules through cloud migration and AI, the platform grew in planned phases.

Phase 01

ERP Core

Phase 1 · 12 months

Sales, purchasing, inventory and financial modules deployed for pilot operations across two warehouse sites.

Phase 02

Operations Expansion

Phase 2 · 8 months

Warehouse management, production tracking and repair management added for manufacturing workflows.

Phase 03

Fleet & Portal

Phase 3 · 6 months

Fleet management and customer self-service portal launched for trading partner access.

Phase 04

AI Analytics

Phase 4 · 10 months

Demand forecasting, stock optimization and intelligent dashboards integrated into daily operations.

Phase 05

Multi-site Rollout

Phase 5 · ongoing

Platform extended across additional European locations with localized reporting and compliance.

Technology Stack

Technologies in production today.

Enterprise Backend

Java EnterpriseSpring FrameworkJPA/HibernateREST APIs

Data & Reporting

SQL ServerReporting EngineETL pipelinesData warehouse

AI & Analytics

Azure AIOpenAI APIsPredictive AnalyticsOCRTime-series models

Integration

Financial accounting connectorsEDICustomer portal APIs

Operations

CI/CDAutomated testingMonitoringBackup & DR
Business Results

What changed in practice.

Representative improvements after platform modernization and the addition of document intelligence.

Inventory accuracy improved with real-time tracking and assisted reconciliation
Orders move faster through automated workflows and portal self-service
Lower carrying costs from better forecasts and reorder points
Purchasing decisions backed by supplier performance data
Fewer stockouts and less dead stock from improved forecasting
Managers work from live dashboards instead of month-end report cycles
Performance Metrics

KPIs and platform scale.

Operational indicators that reflect the work delivered over the partnership.

95%Inventory accuracy
70%Admin reduction
62%Faster orders
12+Warehouse sites

Business Impact

95%
70%
62%
78%

We ran on Excel and gut feeling. Warehouse managers now see stock in real time, purchasing gets reorder suggestions they can accept or override, and customers place orders in the portal instead of calling. In our margins, that difference matters.

Managing DirectorEuropean Pallet Trading Company

Need ERP built for your industry?

We build specialized platforms with forecasting and analytics for sectors where off-the-shelf software falls short. Tell us your workflow and we'll say honestly if we're a fit.

Contact Axesscom