Bike Shop
Parts descriptions, workshop checks and clear sales

Bike Shop ERP for Parts Orders and Stock

PARTS INVOICE

Keep tire and tube specifications clearly separated

List the 700 × 35C tire, inner tube with a 48 mm Presta valve and rechargeable front light as separate invoice lines. Descriptions identify the selected products while quantities and prices show the agreed purchase. A workshop employee checks suitability against the customer’s bicycle before the shop confirms the selection.

PARTS STOCK

Transfer selected bicycle parts to collection stock

Prepare a stock transfer from the bicycle parts warehouse to the collection warehouse for the tires, tubes and lights. Review available quantities and the intended bins before requesting approval. Staff physically move these goods with the stock document; the invoice does not perform a fitting job or a stock movement.

WORKSHOP REVIEW

Assign the sizing and accessory checks clearly

Give a workshop employee the task of checking tire and tube specifications, then assign packaging inspection and collection preparation. Record the customer’s stated bicycle details in the task description for the person reviewing suitability. The board tracks human checks with owners and dates, so the team knows what still needs attention.

CUSTOMER QUOTATION

Agree the parts list before preparing collection

Prepare a standard quotation for the tires, tubes and lights when the customer wants to review the proposed purchase first. Check quantities, unit prices and the total in the document viewer. Staff confirm the product specification and commercial terms directly with the customer before completing the separate stock and invoice actions.

Prepare the next bicycle parts order with confidence.

Bike Shop ERP: Parts Sales, Stock & Tasks | DNA

  • Manage bike shop invoices, tire and tube descriptions, parts stock transfers and workshop checking tasks in DNA ERP for bicycle parts and accessory orders.
  • Utilize structured and semi-structured data storage
  • Analyze data using graph, spatial, and machine learning engines
  • Start with the basic trial using sample data; no set-up required
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