AI Container Designer
Deploys a coordinated team of 9 specialized AI agents that perform parallel analysis across all engineering domains. Uses Chain-of-Thought reasoning with visible decision trails, Multi-Criteria Decision Analysis (MCDA) for material selection, Monte Carlo simulation for cost optimization, and Human-in-the-Loop approval gates for critical decisions.
Problem Statement
The challenge addressed
Solution Architecture
AI orchestration approach
Design input wizard with volume & budget configuration, priority weights for AI decision making, and real-time market intelligence panel showing resin pricing and supply chain status
Multi-Agent Orchestration Engine showing real-time analysis pipeline with Orchestrator and Material Scientist agents, chain-of-thought reasoning, and inter-agent communication
Human-in-the-Loop approval gate displaying pending manager approval, key findings summary with PCR content, pricing, and process capability metrics
Scenario Execution Summary with completed workflow timeline showing Planning, Market Intelligence, Material Analysis, Structural Analysis, and Regulatory Compliance phases
AI Agents
Specialized autonomous agents working in coordination
Orchestrator Agent
Complex multi-agent workflows require coordination of task decomposition, parallel execution, dependency management, and result synthesis across multiple specialist agents.
Core Logic
Implements ReAct pattern for workflow coordination, decomposes design briefs into parallel agent tasks, manages inter-agent communication via broadcast/delegation messages, synthesizes outputs from all specialists into coherent recommendations, and handles approval gate escalations. Uses Task Planner and Agent Router tools.
Material Scientist Agent
Selecting optimal materials from 47+ polymer options requires balancing FDA compliance, barrier properties, processability, cost, and sustainability requirements - a complex multi-criteria decision.
Core Logic
Executes MCDA (Multi-Criteria Decision Analysis) across all material options weighted by customer priorities. Queries material database with barrier requirements, validates FDA 21 CFR 177.1520 compliance, calculates sustainability scores, and generates weighted rankings. Outputs primary material recommendation with alternatives and decision rationale.
Structural Engineer Agent
Container structural integrity requires Finite Element Analysis (FEA) for stress/strain analysis, drop test simulation, stacking capacity validation, and mold complexity assessment.
Core Logic
Runs FEA simulation with mesh node analysis based on container geometry, calculates wall thickness optimization, predicts drop test results at specified heights, determines stacking capacity, assesses mold complexity (cavity count, cycle time), and estimates tooling costs. Outputs safety factors and structural recommendations.
Quality Analyst Agent
Predicting manufacturing quality outcomes (Cpk, defect rates, yield) before production requires statistical process capability analysis and test prediction modeling.
Core Logic
Calculates process capability indices (Cpk) using Statistical Process Control (SPC) methods, predicts Six Sigma levels and PPM defect rates, generates control limits (UCL/LCL), predicts outcomes for drop tests, seal integrity tests, and stacking tests. Recommends SPC monitoring strategies and quality improvement targets.
Cost Optimizer Agent
Accurate cost estimation requires modeling uncertainty in material costs, volume impacts, market volatility, and identifying optimal price points across multiple scenarios.
Core Logic
Executes 1,000-iteration Monte Carlo simulation for probabilistic cost modeling, generates multi-scenario pricing (low/target/high volume), calculates unit cost breakdowns (material, molding, decoration, QC, overhead), performs sensitivity analysis on key cost drivers, determines break-even volumes and payback periods.
Sustainability Analyst Agent
Sustainability assessment requires lifecycle carbon footprint calculation, recycled content verification, recyclability assessment, and alignment with corporate environmental targets.
Core Logic
Calculates carbon footprint per unit and annually using LCA methodology, validates PCR/PIR content against targets, assesses recyclability percentage and rating, computes circular economy scores, identifies certifications achieved (FDA, EU 10/2011, ISCC PLUS eligible), and quantifies environmental impact metrics (CO2 saved, trees equivalent, plastic diverted).
Risk Validator Agent
Validating recommendations requires cross-checking agent outputs for consistency, identifying risks across technical/supply chain/quality/regulatory/market categories, and ensuring confidence levels are justified.
Core Logic
Implements autonomous Reflection Loops for self-validation - questions confidence scores, gathers evidence from multiple agents, adjusts confidence based on market volatility or data quality issues. Identifies and categorizes risks with probability/impact scores, generates mitigation strategies, and validates material-process compatibility.
Market Intelligence Agent
Design decisions require real-time market context including current resin pricing, PCR premiums, supply chain risk levels, and competitive positioning.
Core Logic
Queries real-time market data for material pricing and PCR premiums, monitors supply chain disruptions and risk indices, performs competitor benchmarking against Berry Global, Sonoco, Pactiv Evergreen, detects industry trends, and communicates pricing volatility insights to Cost Optimizer agent for model accuracy.
Regulatory Compliance Agent
Container designs must comply with FDA, EU, and state regulations (CA SB 54) which have different requirements for food contact materials, migration limits, and recycled content mandates.
Core Logic
Validates FDA 21 CFR 177.1520 compliance for food contact applications, verifies EU 10/2011 migration limits, assesses California SB 54 (RPPC) 2024 targets for recycled content, identifies ISCC PLUS certification paths for mass balance tracking, generates compliance documentation packages for customer review.
Worker Overview
Technical specifications, architecture, and interface preview
System Overview
Technical documentation
Tech Stack
7 technologies
Architecture Diagram
System flow visualization