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25% Less Inventory Waste & 80+ Manual Hours Saved Monthly for Manufacturing Startup
AI Automation & Analytics That Transformed Supply Chain Visibility and Efficiency
Client
Growing industrial manufacturing tech startup (Europe-based).
Challenges
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No in-house team for data analytics or automating inventory and production reports
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Struggled with real-time inventory tracking, vendor updates, and process documentation
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Needed to analyze equipment usage data and generate insights for cost reduction
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Required integration of AI tools to reduce manual tasks in supply chain operations
Solution Provided
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Used Python and Power BI to create dashboards for inventory, vendor performance, and equipment downtime
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Built custom AI-powered automations (using Make & Zapier) for stock alerts, billing reminders, and order tracking
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Cleaned and processed raw data from their ERP and sensors for predictive maintenance
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Developed and maintained process documents and technical SOPs for training and audits
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Provided weekly technical support and system monitoring
Results
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Inventory wastage reduced by 25% in 90 days
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Automated systems saved over 80 manual hours/month
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Detected early signs of equipment failure, preventing $10,000+ in downtime losses
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Improved vendor communication led to 20% faster procurement cycles
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Senior management gained real-time visibility into operations through dashboards
By embedding automation and analytics into their operations, the startup unlocked time, avoided costly disruptions, and turned data into a powerful tool for smarter decisions and leaner manufacturing.
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