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01. The Challenge

The client is a leading auto parts distributor with a wide product catalog of over 50,000 items, serving both retail customers through an online store and wholesale partners such as repair shops, dealerships, and service centers across multiple regions.

The main problems were:

1. Frequent errors in selecting the right parts based on VIN codes or car models, leading to returns and reduced customer trust.
2. No automated control over warehouse stock, causing delays and customer dissatisfaction.
3. Slow order processing: managers had to manually check part availability and enter data into the system.

02. The Solution

AIdentico implemented a comprehensive AI solution:

1. Developed a chatbot with computer vision that identifies parts from photos and automatically cross-checks them with the database.
2. Integrated with ERP and Excel/Google Sheets for automatic stock updates and order status tracking.
3. Implemented an AI assistant for parts selection, which analyzes VIN codes and manufacturer recommendations, reducing the risk of errors.

03. The Result

• Order processing speed increased by 65% thanks to automation of routine tasks.
• Errors in part selection decreased by 80%, reducing returns and improving customer satisfaction.
• The company reduced manual labor costs and freed employees to focus on higher-value tasks (key accounts, partner network development).
• As a result, the company’s profit grew by 25% within the first 6 months after implementing AIdentico’s solutions.

This project clearly demonstrated how AI can solve very practical business challenges. By combining computer vision with intelligent automation, we not only reduced errors and costs but also created a scalable solution that will keep delivering value as the client grows. - Andrzej Nowak, CTO at Aidentico

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