When is a search for a licensed catalogue sufficient?

When an employee finds the right part in it reliably, and the result can be used in the order without additional errors. The additional solution is based on specific restrictions on the transfer of multiple sources, customers' self-service or order.

How do you link the selection of the part to the supplier's proposal?

The result of the selection is transmitted with an approved part identifier and application restrictions. The supply search equalizes exactly that part and its packaging. The supplier alternative is returned for technical verification if eligibility has not yet been confirmed.

How do you verify that the common compatibility source has reduced the purchase of faulty parts?

In the reasons for returns, it is necessary to distinguish between incorrect selection and defect, customer's changed need and installation error. The timing of selection and the parts of inappropriate recommendations for the same groups of parts are evaluated.

What car data do you need to accurately select the part?

In addition to the VIN, a set-up, production date or information about the replaced equipment may be required. Sometimes the specialist must inspect the detail itself. The system shows what information is missing for reliable selection.

Automotive parts selection and compatibility system

The specialist checks which parts are suitable based on the car model, set-up or identification number. Missing or unconfirmed compatibility data are visible before ordering.

Data from VINs, models, modifications, OEM codes, analogs and manufacturers are stored in multiple directories and differ between channels. Employees repeatedly check information, the customer does not find the right part, and errors move to order and return.

How the solution works

The specialist identifies the vehicle and the set-up required for selection.
Original codes and possible analogous parts are found in the verified catalogues.
Additional restrictions rule out inappropriate parts, and the uncertain case is returned to the specialist.
The list of approved parts with the application basis is passed on to the choice of price and supply.

Key challenges

Vehicle and parts compatibility data disaggregated
The selection of parts depends too much on the specialists

Solution capabilities

Vehicle identification

The vehicle identification number (VIN) and other necessary model, engine or assembly data are used for selection.

Part-checked link

The manufacturer code and analog are linked to a specific application, preserving the source and technical exceptions.

Eligibility check

Selection evaluates significant usage and set-up conditions; text-only similarity is only used to narrow the search.

A Case-Clear Solution

The specialist sees conflicting sources and a missing fact to be confirmed before the offering of a part.

Business context

Vehicle and parts compatibility data disaggregated: Data from VINs, models, modifications, OEM codes, analogs and manufacturers are stored in multiple directories and differ between channels. Employees repeatedly check information, the customer does not find the right part, and errors move to order and return.
The selection of parts depends too much on the specialists: Even for standard queries, the staff manually inspects the catalogs, technical parameters and analogs. Proposals are prepared slowly, experts become narrow in capacity, and their knowledge is difficult to expand for the whole team.
Less doubt when choosing a part: The purchase is stopped not only by the price, but also by the uncertainty as to whether the part will really fit. Verified compatibility data helps the consultant justify the choice and respond appropriately to the less experienced buyer. Properly selected part reduces the likelihood of a return and helps to avoid waiting for additional car repairs.

Core features

Vehicle identification
Part-checked link
Eligibility check
A Case-Clear Solution

Key integrations

Enterprise resource planning system (ERP): Products, customer prices and order connection.
TecDoc / directory sources: Vehicle, OEM, analog and technical data.
Supplier Software Interfaces (API): Additional codes, analogs, technical information and source versions.
Business customer portal: VIN and parts search for the customer.
Internal sales workspace: Specialist search and exception solution.

Potential impact (%)

The ranges indicate an illustrative relative change in the metric under the stated assumptions. Results depend on the starting position and actual use of the solution. Percentages for different metrics must not be added together.

Time to determine the approved proper part

12–36%Decreasing

This illustrative scenario assumes that 30-60% of manual data entry and handover work can be addressed. That share is assumed to fall by 40-60%. Company data is needed to verify both the addressable workload and the resulting change.

Compare active selection and additional check time based on equal complexity parts requests.

Part of the error in returns for confirmed selection

12–42%Decreasing

This illustrative scenario assumes that 30-60% of errors can be addressed through the data and rule checks described. That share is assumed to fall by 40-70%. Company data is needed to verify both the addressable share and the resulting change.

Due to a documented compatibility selection error, the number of returned order rows is divided by all rows for which such selection has been made and multiplied by 100. The reasons for installation, failure and customer choice are separated.

Part of negative feedback on part selection consultation

5–20%Decreasing

Indicative assumption: 20-40% of negative reviews relate to unexplained part compatibility. The solution could reduce this part by 25-50%. This is a scenario of potential; the assumptions need to be verified by feedback collected by the company.

When a company starts collecting reviews, negative reviews about the part selection consultation are counted from all evaluations received on the topic. The same method of evaluation is applied before and after installation and similar customer groups are compared. Without initial data, the actual change is not determined.

Conditional calculation scenarios. The assumptions have not been validated against client measurements.

When this solution is relevant

Specialists are constantly moving between several directories
Vehicle and manufacturer part code relationships in channels do not match
Noticeable part of returns for the wrong part
A new range is long-prepared for search
Planned B2B self-service by VIN

Implementation requirements

Compatibility searches require legitimate catalogues and sufficient vehicle data. Technical specialists define the attributes by which a part can be validated, and situations where additional specification for the date of manufacture or modification of equipment is required.