The Intelligence capabilities unlock when you move beyond Core. Every transaction, shelf count, and purchase order feeds one AI engine that doesn't just report — it acts.
Unified insight, action, and measurement tied to results
Rules-based → autonomous decisioning, zero-touch workflows
AI forecasting, demand prediction, supply chain optimization
Real-time sync across POS, payments, inventory, orders
The gap widens with every transaction. That's the moat.
Every capability reads from and writes to one unified data layer. No integration lag. No reconciliation tax.
Knows what sells, when, and where — before you run out.
Real-time stock tracking with alerts that fire before peak hours hit.
Nightly POs generated automatically. Zero human intervention.
Spots inventory gaps across every touchpoint. Flags root causes.
Dynamic warehouse stocking based on velocity and seasonality — not guesswork.
Margin guardrails that protect you from bad vendor math.
Optimal prices calculated from real cost basis — not stale spreadsheets.
Real-time analytics across every channel, store, and SKU.
Planograms, pick optimization, bin-location mapping, and auto-transfers — all hands-free.
Transfer orders with QR-coded packing lists. Store scans to receive — inventory updates instantly.
Extracts product data from vendor websites — images, ingredients, content — and generates standardized, website-ready listings. 45+ vendors tested.
Operational data triggers actions across modules — no human in the loop.
Centralized product content, storefront pages, and marketing assets — managed and published from one place.
Location-aware delivery zones, store-specific demand models, and radius-based service rules — automatically enforced.
Countera's auto-ordering engine replaces manual reordering with a system that learns your sales patterns and acts on them nightly.
Every transaction feeds the demand model in real time across all channels
80% depletion triggers an alert — timestamps log whether it's before peak hours
Rolling weekday averages over 8–12 weeks set dynamic thresholds per SKU per store
Nightly PO auto-generated — warehouse-first, vendor fallback if out of stock
Each store has its own ordering criteria based on local demographics and sales patterns
Maintains 7–8 weeks of inventory for top SKUs with independent warehouse thresholds
If mid-day depletion hits before peak hours, the system automatically raises the minimum for that SKU
Runs in parallel with manual ordering during learning period — surfaces discrepancies for review
Blocks stores from ordering directly from vendors when warehouse stock is available — enforced per SKU
PO-matched receiving at both store and warehouse with quantity validation and discrepancy alerts
See AI forecasting, auto-ordering, and optimization engines running on real retail data. Book a walkthrough with our team.