Ekyon builds custom AI modules that bolt onto your existing WMS — no system replacement required. Our AI solutions cover the highest-ROI use cases in warehouse operations: slotting optimization that reduces picker travel by 30%, pick path routing that increases picks per hour by 50%, demand forecasting with 85–95% accuracy, and computer vision for quality control and inventory counting. Each module is purpose-built for your data and workflows.
Your WMS handles transactions. It can’t optimize.
Legacy WMS and ERP systems track inventory and process orders reliably. But they can’t predict demand, optimize product placement, route picks intelligently, or inspect quality at production speed. AI warehouse automation modules bolt onto your existing system through APIs — adding intelligence without replacing anything. Each module costs $10,000–$40,000 and deploys in 4–8 weeks, compared to $200,000+ and 12–18 months for a full system migration.
What's Included
- AI slotting optimization (20–40% travel reduction)
- Intelligent pick path routing (25–40% distance savings)
- Demand forecasting (85–95% accuracy)
- Computer vision quality control (100–500 items/minute)
- AI-powered cycle counting (99.5%+ accuracy)
- Predictive labor planning
- Agentic AI for exception handling
- Bolt-on to any WMS via API
How It Works
01 — Data Assessment
Audit your WMS data: order history depth, product attributes, warehouse layout. Test API access. Establish baseline metrics. 1–2 weeks.
02 — Module Development
Build the AI model — slotting optimization, pick routing, demand forecasting, or computer vision QC. Train on your historical data. 2–3 weeks.
03 — WMS Integration
Connect the AI module to your WMS via REST API. The module reads data, processes it through ML models, and pushes recommendations back. 1–2 weeks.
04 — Validation & Tuning
Compare AI recommendations against current performance. Run parallel for 1–2 weeks. Tune model parameters based on real results.
05 — Production & Expansion
Go live with monitoring. Add additional AI modules incrementally — each subsequent module is faster because infrastructure exists.
Pricing
$10,000–$40,000 per AI module
Timeline
4–8 weeks per module
Who This Is For
- Warehouses wanting AI slotting, routing, or forecasting without replacing their WMS
- Operations running SAP, Oracle, NetSuite, or custom WMS that need intelligence added
- Fulfillment centers hitting capacity limits that optimization can unlock
- Warehouses spending $100K+/year in excess labor from inefficient pick paths and slotting
- Operations with 6+ months of order history ready for ML-based optimization
Why Not Build In-House?
AI warehouse optimization requires expertise in machine learning, operations research, and WMS API integration. Building in-house means hiring ML engineers ($150K–$200K/year each) and spending 6–12 months developing and validating models. Ekyon delivers production-ready AI modules at $10K–$40K each because we have built optimization models for multiple warehouse configurations and reuse proven algorithms.
Identify your highest-ROI AI use case
20-minute call — real numbers for your operation, no sales deck.
Book Discovery CallFrequently Asked Questions
How much does AI warehouse automation cost?
$10,000–$40,000 per AI module. Slotting optimization: $10K–$25K. Pick path routing: $10K–$20K. Demand forecasting: $13K–$27K. Computer vision QC: $15K–$40K. Each deploys in 4–8 weeks.
Do I need to replace my WMS?
No. AI modules bolt onto your existing WMS through REST APIs. Your WMS continues running unchanged. The AI module reads data, processes it, and pushes recommendations back.
Which AI module should I start with?
Start with slotting optimization — it has the fastest ROI (payback in 3–5 weeks) and validates the API integration pattern that all other modules reuse.
How quickly will I see results?
Most modules show measurable improvement within the first 2 weeks. Slotting optimization reduces picker travel by 20–40%. Pick routing reduces distance by 25–40%. Full ROI typically achieved in 1–3 months.