SMART iTM

AI-powered Part Recommendations in NEXT

SMART iTM – AI-powered Part Recommendations in NEXT

With SMART iTM, users of the TOPMOTIVE NEXT catalogue receive automatic recommendations for matching additional parts immediately after adding an article to the basket. Data-driven, vehicle-specific and available exclusively in NEXT. Bought by customers – selected for you.

Features of SMART iTM

  • Real-time recommendations:

    As soon as an article number is added to the basket for a vehicle transaction, SMART iTM instantly suggests matching additional parts – fast, precise and without manual effort.
  • Article-level recommendations:

    Based on real order data and AI technology from TOPMOTIVE Analytics, the most likely additional article needed is identified and suggested at part number level.
  • Product group recommendations without article data:

    Even when no specific article data is available, SMART iTM generates intelligent recommendations at product group level – automatically derived from the TOPMOTIVE data foundation.
  • Around 200 product groups covered:

    The feature currently covers around 200 product groups and is continuously expanded by TOPMOTIVE data analysts in collaboration with the automotive specialist department.
  • Ongoing optimisation:

    Through continuous development and regular quality control by experts, the accuracy of recommendations improves steadily over time.

Benefits of SMART iTM

Higher basket values

Relevant additional parts are suggested automatically – without the user having to search. This increases the average order value.

Fewer forgotten parts

SMART iTM prompts for articles that belong to the vehicle being repaired but are often overlooked – for more complete orders and more satisfied end customers.

No extra work

Recommendations appear automatically within the familiar NEXT workflow. No additional steps or settings are required.

Data-driven and vehicle-specific

All recommendations are based on real order data and tailored to the specific vehicle in the transaction – no generic suggestions.

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