Procurement planning, sales forecasting, logistics tracking. Bottlenecks are detected before they block your operations.
Supply chain disruptions are multiplying: factory fires, logistics strikes, unpredictable pricing, raw material shortages. And they're expensive.
38% increase in disruptions in 2024 per MHL News. And 94% of companies report direct revenue impact. Average losses: 8% of annual revenue.
Your supply chain isn't just a cost—it's your competitive edge. When it breaks, everything breaks: customers wait, cash drains, you lose market share.
Inventory that kills: You overstock slow products (25-30% annual carrying cost for e-commerce). Meanwhile, you're out of fast movers and constantly backorder. Direct sales loss, frustrated customers.
43% of small businesses don't track inventory or use spreadsheets. Result: up to 11% revenue loss. You don't know what you have, where it is, or what it costs.
Terrible forecasts: You order on gut feeling, not data. Result: January overstock, March stockout. Your suppliers don't know what you'll request. They charge more because you're unpredictable.
Zero shipping visibility: You don't know where your order is, if the customer got it, why it's late. You get panicked customer calls. Your team wastes hours digging through a thousand places for info.
A dashboard connected to your ERP giving you *complete* and *real-time* visibility into your supply chain. From supplier to end customer, every link is visible.
By optimizing stock levels and purchases, you unlock 2-5% extra margin. On an SME with €10M revenue, that's €200-500K in recovered EBITDA.
And you're more resilient. Disruptions always happen. But you see them coming and react before they block operations.
You distribute cocoa, coffee, spices. You have 5 international suppliers, 100+ local customers, 3 warehouses. The problem: you never really know how much to order because:
With Supply Chain Command:
Result: less overstock, fewer stockouts, +2-3% margin. Customers never wait more than 2-3 days. You're more competitive than rivals managing inventory by hand.
Machine learning needs data: At least 12 months of historical transaction data to learn seasonal cycles and demand patterns. With only 3 months, forecasts are basic but improve significantly over time.
Anomalies must be documented: If you experienced a strike, facility closure, or unusual market spike in any period, flag it to the system. The algorithm learns from these documented exceptions.
It's a tool, not magic: Supply Chain Command generates forecasts and sends alerts based on patterns. You decide the actions. Orders keep being placed by your team manually or automatically via API integration, based on your preference.
Here are examples of available components. Each solution is modular and adapts to your specific needs.
Operational dashboard covering picking, packing, and shipment tracking. Delivery confirmation with customer notification. Performance indicators by warehouse and zone.
Unified inventory view across all your entities. Batch product creation, tracked inter-warehouse movements, automated accounting reconciliation between subsidiaries.
Multi-agent architecture with shared connection pool, centralized scheduling, and real-time health monitoring. Each service is supervised and independently restartable.
Purchase forecasts by supplier with monthly planning. Current stock, minimum threshold, average consumption, and suggested quantity calculated automatically per product.
Forecasting model based on historical data and seasonality. Forecast-to-actual variance tracked month by month. Forecasts feed directly into procurement planning.
Complete tracking of Prospecting, Sales, Delivery, Invoicing, Collections flow. Automatic bottleneck detection. When a step blocks, the system alerts before it impacts everything else.
Automatic price comparison between your ERP and updated supplier rates. Anomaly detection: negative margins, obsolete pricing, unexplained gaps. Validation workflow before updates.
Complete traceability of every batch, every SKU, every movement. Digital packing slips, warehouse transfer history, delivery proof with timestamp and signature.
Forecasting model that anticipates demand by product and customer by combining historical data, seasonality, and market trends. Forecasts automatically feed into procurement planning to prevent stockouts.
Yes. Odoo, SAP, Sage, Dynamics, legacy systems—no modifications needed. Supply Chain Command connects read-write via your ERP without changing it.
Once connected (2-4 weeks), 30 days for machine learning to absorb your seasonality. Forecasts improve monthly after.
The algorithm learns from *your* data. Your seasonality, trends, supplier lead times. Zero external data, no irrelevant sector bias.
The algorithm detects anomalies (deviation from patterns). You're alerted instantly. Action plans get documented, teams mobilized before customers notice.
Minimal. The dashboard is intuitive and user-friendly. Your teams start using it productively in hours. Complete documentation plus a dedicated training session included. Zero technical jargon—designed for operations teams, not IT specialists.
Related modules: AI Engine • ERP Connect • Financial Operations
Learn more: Vs alternative solutions • Pricing • Supply chain blog
Free supply chain audit. Optimization plan in 48 hours.