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Supply Chain Analytics

All Dataleo news, jobs, analyses and tutorials around Supply Chain Analytics in Supply Chain and Operations.

6 items · 2 news · 2 jobs · 2 insights · 0 tutorials
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Jobs (2)

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HybridFull-time· Mission· Specialist2026-08-19
U

Consultancy — Supply Chain AI Specialist

UNFPA Copenhagen
AIMachine LearningSupply Chain Analytics
The Dataleo angle
The architecture is notable because AI is positioned as an analytical layer complementing the Supply Chain Control Tower rather than replacing it. Value depends on access to real operational flows and accountable actions; the failure mode is a conversational prototype that never becomes part of the planning and exception-management cycle.
HybridFull-time· Permanent· Specialist II2026-07-01
A

Supply Chain Purchase and Fulfilment Specialist II

Amazon Data Services Seattle, Washington
AWSSupply Chain AnalyticsOrder FulfilmentAI Tools
The Dataleo angle
AI capacity depends on mundane but critical decisions around spares availability and supplier fulfilment. Value requires demand, purchase-order, SLA and asset-criticality data to be connected. The failure mode is better reporting without accountable resolution of shortages and late supplier commitments.
News

News (2)

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Lyric named an Example Vendor in Gartner’s 2026 Supply Chain Analytics and Decision-Making market overviewMedium
·2026-09-29

Lyric named an Example Vendor in Gartner’s 2026 Supply Chain Analytics and Decision-Making market overview

Lyric has been named an Example Vendor in Gartner’s 2026 Market Overview for Analytics and Decision Making Platforms for Supply Chain. The report describes an emerging category spanning analytics, prediction and recommendations designed to augment or automate supply-chain decisions. Lyric positions its Studio platform around optimization, simulation, forecasting, scenario comparison and APIs that carry decisions into operational systems. The signal is less the analyst recognition itself than the continuing formalization of a technology layer focused on moving from visibility to decision and action.
The Dataleo angle
The interesting signal is Gartner formalizing a layer that sits between analytics and execution around the decision itself. That favors platforms able to combine prediction, optimization and scenario evaluation rather than simply add an AI interface to BI or planning. But category recognition does not establish operational effectiveness: value depends on whether these platforms can encode real constraints, compare feasible alternatives and push approved decisions into existing planning and execution workflows without creating another disconnected decision layer.
David Simchi-Levi examines how LLMs are reshaping manufacturing and Supply Chain decisionsMedium
Planning·2026-04-20

David Simchi-Levi examines how LLMs are reshaping manufacturing and Supply Chain decisions

David Simchi-Levi examined how Large Language Models can combine with predictive and prescriptive analytics in manufacturing and supply-chain decisions.

The practical issue is how generative interfaces connect to governed models, trusted data and accountable decision owners.

The Dataleo angle
The affected decision is how Large Language Models support manufacturing and Supply Chain decisions. Value requires traceable sources, explicit operational constraints and human validation; the principal failure mode is a fluent answer hiding stale data or incorrect business logic.
David Simchi-Levi
Editorial

Insights (2)

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