Automation of production order creation

  • Client typeEnterprise
  • IndustryManufacturing
  • Application areasManufacturing & Production, Product Development, Innovation, R&D
  • AI technologiesAI Agents & Task Orchestration, Conversational AI (chatbots, voicebots), Large Language Models (LLMs), Multimodal AI, Natural Language Processing (NLP)
  • Business impactsEmployee Enablement & Productivity, Operational Efficiency & Cost Savings
  • Data types3D Data, Documents / Semi-structured Data, Image Data
  • Delivery modelsCustom Development
  • DeploymentsCloud
  • Key capabilitiesDecision Support & Augmented Analytics, Other
  • Project stagesProof of Concept (prototype / PoC / pilot)
  • Solution formsConversational Interface, Standalone Application

Solution Description

Problem description

Within its manufacturing process, the client spends a significant amount of time iterating specifications with the customer. Orders may deviate substantially from previously completed projects, both in design and in specific production process requirements. Iterations over the design can, in some cases, take several weeks due to the manual work involved in handling the graphic design.

Solution

Development of an agent-based system for working with the original product design provided by the client’s customer, along with manufacturing process constraints in the form of text documents and numerical parameters. Thanks to the system of agents, specification changes (even minor ones, which can have a major impact on feasibility or cost) can be quickly iterated and potential bottlenecks or technological limitations identified. Azure cloud services are used to orchestrate a suite of custom-made agents employing models of varying sophistication, including multimodal ones.

Main Users of the Solution

Designers in manufacturing.

Project timeframe (months)

3

Implementation

Project Owner on the Client's Side

Executive management (C-level)

Participation on the Client's Side

  • Business / Product Owner
  • Domain / Process Experts
  • End users

Form of Supplier Involvement

Complete realization

Impact and Results

Qualitative Benefits

Time to finalize a feasible design for production – reduced by multiples compared to the original process.

Lessons Learned and Recommendations

Key Success Factors

Client openness to experimental PoC

Recommendation for Others

Searching for solutions in small incremental steps.

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