Chain analytics summary
Success-metric scorecard · live vs. target
The five expected outcomes, measured against the current data. Time-to-detect & ops-confirmed precision update as the system runs.
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What the numbers say
Channel mix · dine-in / kiosk / delivery / app
net revenue share
Delivery partners · share of delivery
GrabFood · ShopeeFood · Baemin
Chain net revenue — 90-day history + 14-day forecast · click a point for that day's breakdown
Revenue by day of week · click a day
last 120 days · index vs Monday
Daypart mix · click a slice
forecast net revenue
Category mix · click a bar
forecast net revenue
Top menu items · click for store split
forecast net revenue, next 14 days
Store comparison · click to open store
forecast net revenue, next 14 days
Stores — chain overview · click a row for detail
Store detail —
14-day forecast — net revenue (p05–p95 band)
Anomalies · click a row to inspect
Buying — suggested reorders
Thaw board — pull-from-freezer schedule (next service day)
Anomaly triage — all stores
Filter by type
All anomalies · click a row to inspect
Store health monitor · live service status from store nodes · click a store to inspect & remediate
Store fleet · click a store to inspect services & remediate
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Security & access alerts
Intrusion / failed-login signals across the fleet
Remediation & event log
Recent status changes, agent reports, and operator actions
Inventory & buying — chain
Top reorders by SKU
aggregated across all stores
Reorder cost by store
click a bar to open the store
Thaw board — all stores (next service day)
Input sources — select & connect
Connect a POS/ERP source or upload an export. Connected sources feed the warehouse the forecaster reads. Secrets are entered by you and kept in the server vault — the app never stores them.
📊 PowerBI & BI feeds
Consume forecasts, anomalies & sales in your existing PowerBI — no migration
Recent uploads & staging
Ask the data · plain-English → SQL
Data lineage — bronze → silver → gold
Anomaly alerts
Delivery & routing
Routing rules
who gets notified, by anomaly type
Recent notifications
Reports
📊 Executive dashboard report
A visual, PowerBI-style one-page report — KPIs, trends, channel & store performance, forecast accuracy, and live anomalies. Print or present.
🤖 AI executive report · generated narrative
Generate an AI-written executive summary of the current data. Configure LLM — optional; a built-in analyst writes it otherwise.
📊 Connect PowerBI · available now
Every report here is also exposed as a live feed — connect your existing PowerBI whenever you're ready, no migration.
Forecast explorer
Model accuracy — walk-forward backtest
Forecast
expected units per day with p05–p95 band
Daily detail
Settings
Forecast & pipeline tuning
Run pipeline
Re-ingest → forecast → detect anomalies → plan buying/prep, using the settings on the left. Chronos-2 runs on GPU when selected (falls back to seasonal if unavailable).
LLM / AI endpoint · powers the AI report & AI features
Point at an LLM — Anthropic, or any OpenAI-compatible endpoint (self-hosted or cloud). The API key is stored in the app database; use a restricted key.
Users & roles · admin only
Roles: admin (full control) · manager (view + operate) · analyst / viewer (read-only).