The demand forecasting layer your ERP doesn’t have.
Automcore sits between your POS data and your purchasing decisions — reading signals that slow-cycle ERPs miss entirely.
What’s in the platform
Demand Signal Ingestion
Connects to your POS, pulls hourly sell-through velocity, and layers in weather API data plus supplier lead-time confirmations — all three signals in one ingestion pipeline, no middleware.
6-Week Rolling Forecast Engine
An ensemble ML model trained on your own SKU history, updated daily from live POS data. SKU-level confidence intervals tell planners which predictions to trust, which to verify.
Reorder Signal Dashboard
Color-coded flags per SKU per location — green (on track), amber (overstock risk), red (stockout within 14 days). Every planner on the team sees the same signal, in real time.
Scenario Planner
Test “what if supplier delays 2 weeks” or “what if this region gets heavy rain” before committing to a PO. The model runs the impact across all affected SKUs instantly.
How planners use it day-to-day
No rip-and-replace. Automcore slots into your existing workflow in four steps — most teams are running their first forecast within 24 hours of connecting.
Connect your POS
API key or CSV drop. Automcore reads your existing sell-through data — no export format changes needed.
Map your SKUs
A 20-minute field-mapping session in the UI. Match your product IDs to our signal categories — we handle the rest.
First forecast in 24h
The model trains overnight on your historical data. Tomorrow morning, your 6-week rolling forecast is live in the dashboard.
Act on reorder signals
Your planner opens the dashboard, sees the flags, and places POs from the signal — not from gut feel or a two-week-old spreadsheet.
Ready to replace your forecast spreadsheet?
Tell us about your SKU count and current stack. We’ll confirm fit and schedule a 30-minute demo with Angela.
Automcore is not a replacement for Kinaxis, o9, or Anaplan. Those platforms are built for enterprise supply chains with dedicated data science teams. We’re built for the 1–8 person planning teams those tools priced out.
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