Technology · All jobs

Manufacturing

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

20 items · 16 news · 3 jobs · 1 insights · 0 tutorials
Hiring

Jobs (3)

HybridFull-time· Permanent· Intern2026-07-07
C

Production Intern

Caterpillar Shanghai
The Dataleo angle
This is a workforce-investment indicator rather than proof of material automation or planning investment. Its value is limited to showing continued recruitment into production operations.
HybridFull-time· Permanent· Engineer2026-07-06
C

Quality Engineer

Caterpillar Wuxi
The Dataleo angle
Quality data creates value only when it changes process settings, supplier action or release decisions. The failure mode is accumulating non-conformance data without closing recurring root causes.
News

News (16)

Jabil opens AI-enabled Intelligent Logistics Hub in PenangHigh
Warehouse automation and supply chain visibility·2026-07-29

Jabil opens AI-enabled Intelligent Logistics Hub in Penang

Jabil has opened a next-generation logistics hub in Penang, Malaysia, combining automation, connected systems and real-time operational insights to improve inventory visibility, warehouse throughput and supply chain resilience for advanced manufacturing customers.
The Dataleo angle
The material shift is not another automated warehouse but a logistics node designed as a real-time decision layer for electronics supply chains. Value depends on whether connected operational data can drive inventory and throughput decisions across sites, not just inside the facility; the main failure mode is a high-automation island that improves local handling while leaving planning and network decisions fragmented.
Jabil
IBM, Gujarat and IAIRO plan Industrial AI Centre of ExcellenceMedium
Supply Chain AI·2026-06-29

IBM, Gujarat and IAIRO plan Industrial AI Centre of Excellence

The Government of Gujarat, IAIRO and IBM announced plans for an Industrial AI Centre of Excellence focused on applying AI across manufacturing, utilities and supply chains. The signal is that India’s industrial AI agenda is moving toward operational decision systems, not only general AI skills or model adoption.
The Dataleo angle
The Gujarat-IBM Industrial AI Centre of Excellence is a signal that industrial AI in India is being framed around operating decisions, not only digital skilling. The affected model spans manufacturing, utilities and supply-chain workflows where recommendations must fit physical constraints. The condition for value is translation from AI prototypes into validated decision routines. The failure mode is a centre-of-excellence model that produces pilots without changing planning, maintenance or execution accountability.
IBM India Newsroom
Agility Robotics agrees to go public at a $2.5 billion valuationHigh
Humanoid Robotics in Warehousing and Manufacturing·2026-06-24

Agility Robotics agrees to go public at a $2.5 billion valuation

Agility Robotics has agreed to go public through a transaction valuing the company at approximately $2.5 billion. Its humanoid robots are being tested or used in manufacturing and warehouse environments by companies including Amazon, GXO, Schaeffler and Toyota Motor Manufacturing Canada.
The Dataleo angle
The transaction increases access to capital but does not establish production readiness. Deployments should be evaluated through throughput, uptime, safety, task variability, systems integration and the ability to scale service, maintenance and operator recovery.
Wall Street Journal
Didero expands AI-supported direct-procurement positioningMedium
Procurement·2026-06-22

Didero expands AI-supported direct-procurement positioning

A profile published on 22 June describes Didero’s use of AI to reduce manual work in direct procurement for manufacturers, including supplier and purchasing workflows. The relevant scope includes procurement AI, supplier coordination and ERP integration.
The Dataleo angle
The affected decision is how Procurement AI supports direct-material sourcing and supplier workflows. Value requires current supplier, price and specification data plus accountable buyer approval; the principal failure mode is automating recommendations without validating capacity, quality or downstream production impact.
Supply Chain Digital
Schneider Electric advances software-defined automation at Automate 2026Medium
Production Planning·2026-06-22

Schneider Electric advances software-defined automation at Automate 2026

Schneider Electric presented its open, software-defined automation approach at Automate 2026, positioning decoupled software and hardware as a way to modernize industrial control environments. The announcement highlights industrial automation, manufacturing and the potential connection between control systems and production planning.
The Dataleo angle
The planning value depends on whether software-defined control data can feed production scheduling, capacity models and exception management without weakening validation, safety controls or manual override. Integration with MES and governed decision workflows matters more than faster software deployment alone.
Schneider Electric
World Economic Forum adds 16 Lighthouse awards as AI scales across manufacturing and supply chainsMedium
Supply Chain Planning·2026-06-22

World Economic Forum adds 16 Lighthouse awards as AI scales across manufacturing and supply chains

On 22 June 2026, the World Economic Forum added 16 awards to its Global Lighthouse Network, bringing the community to 238 industrial sites. The cohort shows industrial AI moving into operating capabilities across manufacturing, supply chain planning, logistics and inventory decisions. WEF-reported examples include AI-enabled planning at Unilever, inventory and order-to-ship improvements at Hitachi Vantara, and integrated logistics and AI at Schneider Electric.
The Dataleo angle
The relevant signal is not the number of AI use cases, but the operating model required to scale them. Planning and operations teams should verify whether recommendations connect reliably to APS, ERP and MES data; expose constraints and confidence; preserve accountable decision owners; and permit manual override. Before scaling, organizations need validated baselines, data lineage, exception thresholds, approval rights and documented failure modes across inventory, production and logistics decisions. The WEF examples report measurable changes including inventory reductions, shorter lead times, improved service levels and AI-enabled planning, but these remain organization-reported case results rather than independently controlled comparisons.
World Economic Forum
Daher expands LeanDNA APEX to standardize supply chain execution across three continentsHigh
Supply chain execution, multi-ERP standardization and inventory performance·2026-06-17

Daher expands LeanDNA APEX to standardize supply chain execution across three continents

Daher is expanding its use of LeanDNA APEX to standardize supply chain execution across operations on three continents. The platform is intended to provide common KPIs, workflows and AI-assisted recommendations despite multiple SAP environments and historically manual reporting processes.

The deployment supports tactical buyers and operational teams working on material availability, supplier performance, inventory priorities and execution risks. The objective is to create a shared operational layer above fragmented ERP environments.

The partnership is a concrete example of manufacturers using AI-enabled execution platforms to harmonize decisions without waiting for a full core-system transformation.

The Dataleo angle

This case is relevant for the Governed Middle Layer concept. A shared execution layer can improve consistency across ERP instances, but it can also become another parallel system if KPI definitions, action ownership and override rules are unclear.

Daher will need strong governance around data synchronization, decision rights, exception handling and the boundary between recommendations in LeanDNA and transactions executed in SAP.

LeanDNA / PR Newswire
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
SAP embeds agents into manufacturing and supply-chain workflows at Hannover MesseHigh
Agentic AI, resilient manufacturing and supply-chain workflows·2026-04-20

SAP embeds agents into manufacturing and supply-chain workflows at Hannover Messe

SAP presented new agentic AI capabilities for manufacturing and supply-chain workflows at Hannover Messe 2026. The announcements connect business data, operational processes and AI-supported actions across industrial environments.

The Dataleo angle

Agents embedded in core workflows require governed master data, role-based permissions and clear accountability when recommendations cross planning, manufacturing and maintenance boundaries.

SAP
Lisa Anderson is named among the Top 50 Manufacturing Thought Leaders for 2026Low
Leadership·2026-04-10

Lisa Anderson is named among the Top 50 Manufacturing Thought Leaders for 2026

Lisa Anderson was named among the Top 50 Manufacturing Thought Leaders for 2026, recognizing her work across manufacturing, ERP, S&OP, resilience and operational transformation.

The Dataleo angle
The affected decision is how Lisa Anderson perspectives on Leadership and Manufacturing should influence S&OP, ERP and resilience priorities. Value requires recommendations tied to decisions, operational evidence and measured outcomes; the principal failure mode is treating thought-leadership recognition as automatic validation of every method or recommendation.
Consult Clarity / Business Times Journal
Oracle embeds new AI agents across end-to-end supply chain operationsHigh
Planning, procurement, manufacturing, maintenance and logistics·2026-02-10

Oracle embeds new AI agents across end-to-end supply chain operations

Oracle has introduced new AI agents embedded across Fusion Cloud Supply Chain and Manufacturing. The agents support planning, procurement, manufacturing, maintenance and logistics workflows, with the goal of accelerating decisions and automating repetitive operational tasks.

The move expands agentic AI across the full supply chain lifecycle rather than limiting it to a single function.

The Dataleo angle

Embedded agents can shorten decision latency, but enterprises need clear ownership, access controls and validation thresholds before recommendations affect planning or execution.

Oracle
PENTA Electrical Safety Products Reports Higher Service Levels and Revenue After Deploying KomugiHigh
Customer implementation·2025-11-25

PENTA Electrical Safety Products Reports Higher Service Levels and Revenue After Deploying Komugi

PENTA Electrical Safety Products reported that Komugi became a central platform in its Project 2026 operational-excellence program, improving flow visibility and daily execution.

According to the published case update, the company reduced temporary staffing from four full-time equivalents to two, increased revenue by €2 million and improved service levels from 72% to 96%.

The Dataleo angle

The case is relevant because it links planning visibility to operational outcomes rather than software adoption alone. The control question is whether workload-capacity assumptions, production priorities and exception responses are owned, reviewed and measured consistently across the organization.

Komugi / LinkedIn
Infor expands industry-specific AI agents for operational workflowsHigh
·2025-10-09

Infor expands industry-specific AI agents for operational workflows

Infor expanded its suite of industry-specific AI agents for operational workflows across sectors including dairy, electric vehicles and textiles. The agents are designed to work with industry context rather than generic enterprise prompts.

The Dataleo angle
The affected decision is how Infor embeds AI Agents into industry-specific Supply Chain workflows. Value requires bounded permissions, reliable enterprise context and explicit escalation; the principal failure mode is an agent that automates fragmented processes or takes actions whose assumptions and accountability are unclear.
Infor
Oracle introduces AI agents to transform supply-chain workflowsHigh
·2025-01-30

Oracle introduces AI agents to transform supply-chain workflows

Oracle introduced AI agents embedded in Fusion Cloud Supply Chain & Manufacturing to automate end-to-end tasks and deliver role-specific insights across procurement, manufacturing, maintenance and logistics.

The Dataleo angle

Embedded agents require clear permissions, validation thresholds and audit trails before they influence operational decisions.

Oracle
Editorial

Insights (1)

Other technologies
4PLABAPAbaqusAdditive ManufacturingAdvanced AnalyticsAdvanced ManufacturingAdvanced PackagingAdvanced Planning and SchedulingAdvanced Planning SystemsAera Decision CloudAerospace AIAgent EvaluationAgentic AIAgentic OrchestrationAgents IAAIAI agentsAI AgentsAI AnalyticsAI ArchitectureAI AutomationAI Coding AgentsAI Decision AppsAI EngineeringAI ForecastingAI GovernanceAI InfrastructureAI LearningAI OrchestrationAI PlanningAI RemediationAI Risk ManagementAI RoboticsAI ServicesAI SkillsAI ToolsAI-Assisted ForecastingAI-native ERPAI-powered OperationsAir CargoAllocationAmazon BedrockAmazon Bedrock AgentCoreAnalyticsAnaplanAPIsAPO PP/DSApplication AIApplication DevelopmentApplied AIAPSArchitecture SolutionArtificial IntelligenceArtificial intelligenceASRSAssistive AIAutomated OrderingAutomationAutomatisationAutonomous ProcurementAutonomyAvailable-to-PromiseAWSBIBigQueryBill of MaterialsBlue YonderBrowser-based ApplicationsBusiness ArchitectureBusiness ContinuityBusiness IntelligenceC++C3 AI Supply ChainCapacity ManagementCapacity PlanningCarrier SourcingCarrier VerificationChange ManagementChatGPTClaims AutomationClaudeClaude AIClaude DesktopClaude Managed AgentsCloudCloud ComputingCloud ERPCloud SupportComplianceCompliance AutomationCompliance ManagementComposable ArchitectureComputer VisionComputer visionConcurrent PlanningConfiguration ManagementConnected PlanningConstraint-Based PlanningContinuous ImprovementContinuous LearningContinuous PlanningContract AIContract ManagementControl TowerConversational CommerceCoordination du planningCopilotCopilotesCopilotsCoupaCoupa Supply Chain Design & PlanningCreoCritical TechnologiesCRMCustomer FulfilmentCustoms SystemsCybersecurityDataData AnalyticsData ArchitectureData EngineeringData GovernanceData IntegrationData PlatformData PlatformsData PreparationData ProductsData ScienceDDMRPDecision AppsDecision EngineeringDecision intelligenceDecision IntelligenceDecision OptimizationDecision SupportDeep LearningDeepARDefence LogisticsDelivery OperationsDemand ForecastingDemand PlanningDemand Planning SystemsDevOpsDigital ManufacturingDigital Supply ChainDigital ToolsDigital TwinDigital TwinsDistributed Order ManagementDistributed SystemsDistribution ManagementDistribution PlanningDock SchedulingE-commerce PlatformsEdge AIElasticity ModelingEmbodied AIEngineering Change ManagementEnterprise AIEnterprise AI AgentEnterprise Data PlatformEnterprise IntegrationEnterprise PlanningEnterprise SaaSEnterprise Supply PlanningEnterprise SystemsEPMeProcurementERPERP IntegrationEUV LithographyExcelException ManagementException ResolutionExigences produitExplainable AIExternal DataExternal SignalsFastMCPFinancial PlanningFinite-Capacity SchedulingFioriFleet ServicesFlowlityForecast AnalyticsForecastingForecasting AIForecasting ModelsForward-Deployed EngineeringFoundation ModelsFreight AIFreight ProcurementFulfillment PlanningFulfilment OperationsGanacosGenerative AIGestion des stocksGoogle CloudGovernanceGraph DatabaseGrid SoftwareGxPHBMIAIA agentiqueIA assistiveIBM Planning AnalyticsIBPIdentity and AccessIncident InvestigationIndustrial AIIndustrial ControlsIndustrial EngineeringIndustrial IoTIndustrial LogisticsIndustrial RoboticsInfor ERPInfor M3Infrastructure PlanningIntegrated Business PlanningIntermodalInternet of ThingsIntuiflowIntégration de donnéesIntégration d’entrepriseIntégration ERPInventory AccuracyInventory ForecastingInventory managementInventory ManagementInventory OptimizationInventory PlanningInventory ScanningInventory SimulationInventory VisibilityIoTIsolation ForestJohn Galt AtlasJouleJoule StudioKinaxisKinaxis MaestroKnowledge ManagementKomugiKPI MonitoringLabour PlanningLanded Cost AnalysisLangChainLangGraphLarge Language ModelsLast-mile OperationsLast-Mile TechnologyLeanLeanDNALearning PlatformsLifecycle ManagementLightGBMLLMLLMsLoad BalancingLogiciel Supply ChainLogilityLogisticsLogistics AILogistics AutomationLogistics ExecutionLogistics ManagementLogistics ResilienceLogistics SystemsLogistics TechnologyLogistics VisibilityLow-codeLyric.aiMachine LearningMaintenance PlanningManufacturing AIManufacturing AnalyticsManufacturing LogisticsManufacturing OperationsManufacturing OrchestrationManufacturing PlanningManufacturing TechnologyMarketplace PlatformsMarketplace TechnologyMaster Data ManagementMaster SchedulingMaterial FlowMaterial PlanningMaterials PlanningMathematical OptimizationMCPMDKMEIOMESMetrologyMicrosoft DynamicsMicrosoft ExcelMILPModel Context ProtocolModel MonitoringMoteurs de recommandationMROMRPMulti-Agent AIMulti-Agent Systemsn8nNetSuiteNetwork DesignNetwork OperationsNetwork PlanningNPINVIDIANVIDIA OmniverseNXO-PASo9o9 Digital Braino9 SolutionsObservabilityOData APIsOMPOMP Unison PlanningOpen Process AutomationOpen SourceOpenAIOpenAI APIOpenOPCOpenUSDOperational ResilienceOperations ResearchOptimisationOptimisation des stocksOptimizationOpérations de supportOracleOracle Cloud SCMOracle SCMOracle SCPOrchestration IAOrder FulfilmentOrder ManagementOutils digitauxOutlier DetectionPackagingpandasParcel ExecutionPDPPhysical AIPhysical SecurityPICPlan for Every PartPlanification de projetPlanification des matièresPlanification IAPlanning AnalyticsPlanning ApplicationsPlanning CoordinationPlanning OrchestrationPlanning SystemsPlanning ToolsPlanning WorkflowPlateformes achatsPlateformes de formationPlotlyPort OperationsPower and CoolingPower AppsPower AutomatePower BIPredictive AIPredictive analyticsPredictive AnalyticsPredictive MaintenancePredictive ModelingPrescriptive AnalyticsProcess AutomationProcess ImprovementProcess MiningProcurementProcurement AIProcurement AnalyticsProcurement ComplianceProcurement ControlsProcurement PlatformsProcurement SoftwareProcurement SystemsProcurement TechnologyProcurement TrainingProcurement TransformationProcurement WorkflowProduct Information ManagementProduct Integrity SystemsProduct ManagementProduct OwnershipProduct RequirementsProduction PlanningProduction SchedulingProgram DeliveryProgram ManagementProject LogisticsProject ManagementProject PlanningProject Supply ChainPréparation des donnéesPrévisionsPrévisions assistées par IAPrévisions de ventesPrévisions statistiquesPurchase Order ManagementPythonQMSQuality AssuranceQuality ManagementQuantitative Supply ChainRRail LogisticsRapid DeliveryReal-time analyticsReal-time AnalyticsReal-time VisibilityRecherche opérationnelleRecommendation EnginesRecommender SystemsRecyclingRegulatory ComplianceRELEXReplenishmentResponsible AIRetail AIRetail AnalyticsRetail PlanningRhinoRisk AnalyticsRisk ManagementRisk Modelingrobotic storageRoboticsRobotics ManufacturingRéapprovisionnementS&OES&OPS/4HANA ePPDSSaaSSaaS d’entrepriseSales ForecastingSAPSAP APOSAP ArchitectureSAP BTPSAP Business AISAP Business Data CloudSAP Business NetworkSAP Cloud ERPSAP Digital ManufacturingSAP ECCSAP EWMSAP IBPSAP PP/DSSAP S/4HANASAP S/4HANA RetailSAP SCMSAP Supply Chain ManagementSARIMAXScenario PlanningSchedulingSemantic ContextSemiconductor EquipmentSemiconductorsSiemens Digital Twin ComposerSimulationSimulation OptimizationSIOPSlackSlim4SnowflakeSoftware ArchitectureSoftware Supply ChainSolution ArchitectureSpare Parts PlanningSQLSQLiteStatistical ForecastingStock OptimizationStrategic Supply ChainStreamlitSupplier ComplianceSupplier Data ManagementSupplier DevelopmentSupplier ManagementSupplier QualificationSupplier QualitySupplier RiskSupplier Risk ManagementSupplier TraceabilitySupply ChainSupply Chain AISupply Chain AnalyticsSupply chain automationSupply Chain AutomationSupply Chain ConsultingSupply Chain GuruSupply Chain IntelligenceSupply Chain ManagementSupply Chain OrchestrationSupply Chain PlanningSupply chain risk intelligenceSupply Chain SoftwareSupply Chain SystemsSupply Chain TraceabilitySupply Chain VisibilitySupply PlanningSupply Risk AnalyticsSupport OperationsSystèmes achatsSystèmes de planningSystèmes de recommandationSystèmes d’entrepriseSystèmes Supply ChainTeamsText-to-SQLThird-party Risk ManagementTimesFMTMSToolsGroupTraceabilityTraceability PlatformsTrade ComplianceTransport AutomationTransportation ManagementTransportation Management SystemTransportation PlanningVendor ManagementVibe CodingVision AIWafer ManufacturingWarehouse AIWarehouse ManagementWarehouse management systemsWarehouse OperationsWarehouse OptimizationWarehouse RoboticsWarehouse SystemsWESWMSWorkflowWorkflow AutomationWorkflow Orchestration