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Analytics

See supply chain risks before they become problems.

Traceage runs AI risk scoring, anomaly detection, forecasting, and sustainability analytics on your supply chain — built from the traceability data you already collect. No data team needed, no labelling project required, and every score links back to the underlying events.

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Supplier risk
Live
62/100

Overall supply chain risk

Based on 12 active suppliers, 847 batches, last 90 days

Low 0-40Medium 41-70High 71-100

Risk factor breakdown

  • Supplier concentration
    80
  • Lead-time risk
    60
  • Compliance exposure
    45
  • Quality variance
    32
  • ESG signal
    28

AI recommendation: 74% of your cold-chain volume flows through a single supplier (Frescomar SL). Supplier concentration is your highest-risk factor — consider onboarding a secondary source for Q1 to reduce exposure below 50%.

30-day risk trend
+12 pts

Real-time

Risk score refresh

30+

Risk dimensions tracked

Explainable

Every score linked to source events

How it works

AI that learns from your traceability data.

01

Score

Every supplier, SKU, and facility carries a live risk score derived from 30+ signal dimensions — financial, operational, compliance, ESG.

02

Detect

Anomaly detectors run on every event stream — quality, temperature, throughput, and supply-side signals — flagging clusters as they emerge.

03

Forecast

Demand, yield, shelf-life, and incident-probability forecasts roll forward with every new data point. Confidence bands tighten as evidence builds.

04

Explain

Every score, anomaly, and forecast links back to the underlying events. Auditors and operators get answers, not black boxes.

Six modules

Six AI-powered analytics modules.

From risk scoring to forecasts to sustainability — built on the traceability data you already collect. No labelling project required.

Supply chain risk scoring

A live multi-signal risk score on every supplier, SKU, and facility — built from your traceability events plus public signals.

  • 1.Financial · operational · ESG dimensions
  • 2.Lead-time and concentration risk
  • 3.Compliance & regulatory exposure

Anomaly detection

Unsupervised models trained on your event streams catch clusters before they become incidents — quality, cold-chain, throughput.

  • 1.Quality stream excursions
  • 2.Cold-chain drift detection
  • 3.Throughput anomaly clustering

Demand & yield forecasting

Time-series forecasts for demand, yield, shelf-life, and incident probability — with confidence bands and per-scenario projection.

  • 1.Multi-horizon demand forecasts
  • 2.Shelf-life and yield projection
  • 3.Scenario / what-if simulation

Supplier intelligence

A consolidated risk view per supplier — financial signals, geographic concentration, certification expiry, audit history.

  • 1.Risk-weighted scorecards
  • 2.Geographic concentration heatmap
  • 3.Certificate expiry early-warning

Sustainability analytics

Scope-1, 2, and 3 emissions analytics on your traceability data. Supplier ESG signals roll into the same risk surface.

  • 1.Scope 1 / 2 / 3 emissions tracking
  • 2.Supplier ESG scoring
  • 3.Circular-economy and DPP-ready exports

Embedded AI reports

Natural-language queries over your traceability data. Ask in plain English, get a ranked answer with linked evidence and citations.

  • 1.Plain-English query interface
  • 2.Linked-evidence citations
  • 3.One-click export to PDF / regulator
Model types

Five model families. One supply-chain engine.

Each module is backed by a different ML primitive — chosen for the task, not a one-size-fits-all model. All trained on your traceability data; all explainable down to the source event.

Anomaly detection

Unsupervised models flag deviations across quality streams, temperature logs, and throughput signals — before they cluster into incidents.

Risk scoring

Multi-signal regression models combine financial, operational, ESG, and compliance signals into a single supplier or SKU risk score.

Forecasting

Time-series models predict demand, yield, shelf-life, and incident probability over multi-quarter horizons with confidence bands.

Classification

Supervised models assign tier, category, and risk class to suppliers, products, and incidents — auto-routing them to the right workflow.

Natural language

LLM-backed queries over your traceability data. Ask "which suppliers shipped late in Q1?" and get a ranked answer with linked evidence.

Explainable score

Every score, traced back to its signals.

Black-box ML doesn't fly in regulated supply chains. Traceage publishes the weighted signal contributions behind every risk score — so auditors, operators, and regulators can verify the reasoning, not just the result.

  • Per-signal weight contributions
  • Direct links to source events
  • Confidence bands and uncertainty quantification
  • Auditable model versioning
supplier · ORIGIN-CO-PTYRisk: 62

Top signal contributors

Geographic concentration×0.32

82% of volume from 1 region

Lead-time variance×0.21

σ = 3.4 days (peer median 1.1)

Certificate expiry×0.18

BRCGS expires in 42 days

CCP excursion rate×0.15

4 events in last 90 days

ESG / scope-3 signal×0.08

Reporting gap on water use

Trace each signal back to its source event · model v2.4.1
By industry

Every supply chain has signals to mine.

AI analytics is industry-agnostic — the supply-chain engine carries the same signal shape whether you ship pharmaceuticals or pipe fittings. Twenty verticals, one model family per task, one explainable score surface.

  • North America
  • Europe (EU + UK)
  • GCC
  • Asia-Pacific
  • ANZ
  • Latin America
  • Africa

Food & beverages

The biggest deployment surface for AI risk scoring. Supplier concentration, lead-time risk, and quality-excursion clustering on every batch you trace — surfaced before they hit the news.

  • FSMA 204
  • BRCGS
  • FSSC 22000
  • GFSI

Pharmaceuticals

GMP-aligned anomaly detection across cold-chain, fill-finish, and supplier audits. ICH Q9 risk principles applied through ML models that explain every score.

  • ICH Q9
  • WHO GMP
  • EU GMP
  • FDA 21 CFR 211

Cosmetics & personal care

Microbial risk · ESG scoring

Medical devices

Adverse event prediction

Nutraceuticals

Botanical purity scoring

Animal feed

Composition risk

Cannabis & hemp

Compliance + supply

Water treatment

Quality forecasting

Chemicals & petrochemicals

Hazard signal detection

Agriculture & farming

Yield forecasting

Packaging

Supplier risk scoring

Electronics & manufacturing

Defect prediction

Fashion & textiles

Sustainability analytics

Mining & raw materials

ESG + scope-3 signals

Logistics & supply chain

Lead-time forecasting

Retail & e-commerce

Demand forecasting

Hospitality & tourism

Demand signals

Automotive

Supplier-tier risk

Aerospace & defense

Supply visibility

Construction & building

Material sourcing risk

Signal to score

From a single event to a refreshed risk score in seconds.

The headline metric is "real-time risk-score refresh". Here's what real-time actually means in milliseconds — the path a single inbound event takes before it changes the dashboard.

  1. 0:00

    Event arrives

    New CCP-02 cold-storage reading streams in at 6.8°C — a 1.8°C excursion above the limit.

  2. 0:01

    Anomaly scored

    Unsupervised detector classifies the excursion as a 92nd-percentile deviation against the historical baseline.

  3. 0:02

    Weight applied

    Score weight propagates to the supplier's overall risk profile. Lead-time and quality dimensions both shift.

  4. 0:03

    Dashboard updated

    Risk dashboard refreshes; threshold crossed; alert routed to the supplier-risk owner with linked evidence.

Compare by plan

Analytics is in every plan. Depth scales with you.

CapabilityStarterGrowthPremiumEnterprise
Reports & dashboards
Standard reports & dashboards
IncludedIncludedIncludedIncluded
Supplier intelligence dashboardsComing soon
LimitedIncludedIncludedIncluded
Supplier concentration scoring
Coming soon
IncludedIncludedIncludedIncluded
AI insights
Anomaly detection alertsComing soon
LimitedIncludedIncludedIncluded
Embedded AI reports (NLP)
Coming soon
LimitedIncludedIncludedIncluded
Model explainability exports
Coming soon
LimitedIncludedIncludedIncluded
Forecasting & sustainability
Demand & yield forecastingComing soon
Not includedIncludedIncludedIncluded
Sustainability analytics
Coming soon
Not includedLimitedIncludedIncluded
Developer & customization
API access to scoresComing soon
Not includedIncludedIncludedIncluded
Custom model training
Coming soon
Not includedNot includedLimitedIncluded

See full pricing breakdown

Pairs well with

Related capabilities.

Market surveillance

AI risk scores escalate to surveillance: when a supplier breaches threshold, the recall feed pre-emptively cross-matches affected lots.

Learn more

Traceability

Every score is anchored to the same record. Click any signal in the risk dashboard, jump straight to the underlying batch events.

Learn more

HACCP automation

Anomaly detectors feed the HACCP CCP monitoring layer. Deviations that score high auto-open CAPA workflows.

Learn more
Private beta now open

Your supply chain already holds the answers.

Traceage is the first AI-native supply-chain operations platform. Hook up your first feed and the risk dashboard starts scoring within minutes.

Start for freeTalk to sales