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ZN SYSTEMS

Project 04/Motorbike parts business

Spare Parts AI Assistant with MCP and Claude

An AI-powered assistant that lets staff ask plain-language questions about customers, products, stock, suppliers, prices, and vehicle-specific parts.

Key results

Outstanding balances became easier to find

Customer recovery work became easier to target

Ledger checks moved into one assistant

Interface diagram for a spare parts business-data assistant

Summary

We connected the shop database to Claude through a custom MCP server and built an assistant that understands plain-language questions. Staff can ask for customer history, purchasing trends, product details, prices, stock levels, supplier information, and vehicle-specific parts without needing database knowledge.

Context

Motorbike parts business

Project type

AI Automation

Primary stack

Claude

Focus areas

AI AutomationMCPClaude

Technology

ClaudeCustom MCP ServerDatabase IntegrationAI AutomationREST API

The situation

Important customer and ledger details were buried in business data.

Interface diagram for a spare parts business-data assistant

The business was operating heavily on credit, which created serious cash-flow pressure. Important details were spread across customer records and ledgers, so it was difficult to see who owed money, how much they had purchased, how regularly they paid, and where balances were being missed.

The result

Outstanding balances became easier to find

The assistant helped the business find overlooked outstanding balances, group customers by spending and credit behaviour, and focus recovery work where it mattered. Staff could also check customer and manufacturer ledgers in one place instead of relying on a separate manual process, reducing effort and helping stop ongoing cash leakage.

Additional outcomes

  • Customer recovery work became easier to target
  • Ledger checks moved into one assistant

What was built

The main workflows and capabilities delivered for this project.

01

Plain-language questions over business data

02

Customer credit and payment history

03

Purchase trends and outstanding balances

04

Product, price, and stock lookup

05

Supplier and vehicle-specific parts lookup

06

Customer and manufacturer ledger checks

AI AutomationMCPClaudeBusiness Data

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