Inventory & Supply Chain Automation

Typically 20-40% more accurate. AI analyzes thousands of data points humans miss: day-of-week trends, holiday impacts, weather patterns, competitor activity, and micro-trends. Initial accuracy is 70-80%, improving to 85-95% after 3-6 months of learning. Manual planning usually achieves 60-70% accuracy at best.

We build in safety mechanisms: 1) Safety stock buffers for critical items, 2) Confidence thresholds before auto-ordering, 3) Human approval for large orders, 4) Alert systems for unusual predictions. You can also override any forecast. Over time, prediction errors decrease significantly as AI learns your business patterns.

Yes. We integrate with most systems: Shopify, WooCommerce, Square, NetSuite, QuickBooks, Xero, and custom ERPs. If your system has an API or data export, we can connect it. For older systems without APIs, we use CSV imports/exports or build custom connectors. Goal is seamless data flow without duplicate entry.

You set the rules: minimum order quantities, preferred suppliers, budget limits, and approval thresholds. Small routine orders can auto-generate and send. Large orders require your approval. You can always override suggestions. Think of it as an assistant that drafts POs for your review, rather than ordering blindly.

Perfect use case. System tracks expiry dates, predicts consumption rates, and orders smaller quantities more frequently. FEFO (First Expired, First Out) rules ensure old stock moves first. You get alerts when items approach expiry. This reduces waste by 40-60% for F&B businesses. AI learns your specific shrinkage patterns.

Yes. System understands bill-of-materials (BOM) relationships. Selling a gift basket decreases inventory of all components. Manufacturing a product deducts raw materials and adds finished goods. Kits are tracked as both individual items and bundles. Essential for manufacturers and businesses selling combinations of products.