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What problem are you facing today?
Select a category to get guided engineering recommendations
AI Analysis
CLAUDE
⚡ Describe Your Problem
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Quality Issue
Sink marks, warpage, flash, short shot, burn marks, weld lines, streaks, voids, cracks, delamination, ejector marks, gloss problems
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Process Instability
Shot weight variation, mold won\'t open, sticking parts, nozzle stringing, black specks, cushion variation, unusual smell
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Production Efficiency
High scrap rate, long cycle time, poor cavity balance, part weight variation, downtime reduction
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New Mold Startup
First article trials, parameter setup, material selection, cavity validation
Problem Library
Type symptoms to find the closest matches (offline).
⚡ Technology

Why This AI Outperforms
General-Purpose AI in Plastics?

MBPlastiPro's AI engine is built on an infrastructure purpose-designed for injection molding processes. Here are the three core elements that make the difference:

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Domain-Specific Structured System Prompt

General AI models treat every topic equally. MBPlastiPro's AI focuses exclusively on injection molding — directly analyzing engineering parameters such as clamp force, screw L/D ratio, cooling times, tie-bar spacing and material MFI values. The system interprets every query the way an experienced process engineer on the shop floor would.

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Metin Bilgili Training & Consulting Database

AI analysis is supported by the real field case knowledge base compiled by Metin Bilgili Training & Consulting over the years. Actual root causes of defects observed in factories, process parameter deviations and their solutions are accumulated in this database. Every diagnosis is enriched with this practical field experience.

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Structured Actionable Output

General AI chat models generate text. MBPlastiPro's AI delivers stepped intervention plans: 0–30 min, 30–120 min, and long-term. Each recommendation includes expected outcome, risk level and measurement criteria — directly actionable on the production floor.

How Does the Analysis Work?

1
Enter defect type and material information
2
System prompt and field database activate
3
Probability-ranked root cause hypotheses are generated
4
Actionable intervention plan is delivered
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Legal Notice — AI-Assisted Diagnosis

The MBPlastiPro AI Troubleshooting tool is designed to support experienced engineers in their decision-making process; it does not replace expert engineering consultancy. AI outputs are probability-based and may not account for factors specific to your machine, mold, material, and production conditions. All recommendations must be evaluated by a qualified engineer and verified against actual machine data before implementation. MBPlastiPro and Metin Bilgili Training & Consulting cannot be held liable for production losses, machine failures, or product quality issues resulting from the application of AI recommendations. This tool is for informational purposes only.