Solution Architect — Supply Chain Planning, Manufacturing
The role is relevant to the architecture linking production planning, scheduling, data and execution systems.
All Dataleo news, jobs, analyses and tutorials around Manufacturing in Supply Chain and Operations.
The role is relevant to the architecture linking production planning, scheduling, data and execution systems.
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.
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.
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.
Agents embedded in core workflows require governed master data, role-based permissions and clear accountability when recommendations cross planning, manufacturing and maintenance boundaries.
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.
LLMs should explain and orchestrate analytical workflows without obscuring assumptions, constraints or approval rights.
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.
Recognition is most useful as an ecosystem signal when it points to practical expertise that improves planning ownership, operational decisions and transformation execution.
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.
Embedded agents can shorten decision latency, but enterprises need clear ownership, access controls and validation thresholds before recommendations affect planning or execution.
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 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.
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.
Industry specialization can improve relevance, but companies still need documented business rules, accountable owners and controls when agents influence production, inventory or maintenance decisions.
thyssenkrupp Rasselstein partnered with Celonis to improve Supply Chain transparency and efficiency using process intelligence and AI across its packaging-steel operations.
Process visibility creates value only when bottlenecks have named owners and remediation is linked to measurable service, inventory and throughput outcomes.
Zebra Technologies showcased new intelligent-automation solutions for manufacturing and warehouse operations, combining AI, machine vision, robotics and frontline workflow technologies.
Intelligent automation creates value when vision, robot and worker data share governed definitions and clear exception ownership.
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.
Embedded agents require clear permissions, validation thresholds and audit trails before they influence operational decisions.