• Projects 5
  • Rating 5.0
  • Rating 908

Budget: 27000 UAH Deadline: 30 days

Good day!

I have experience working on projects in the auto parts niche, so I understand the specifics well:
OEM numbers, cross-references, substitutes, as well as the difference between TecDoc and "flat" Excel price lists from suppliers.

One of the clients is specifically in this area, where I worked with:

the logic of cross-references (OEM ↔ analogs),
processing supplier price lists,
normalizing numbers (spaces, dashes, different formats),

  • Projects 18
  • Rating 5.0
  • Rating 1 955

Budget: 27000 UAH Deadline: 60 days

Hello! I understand your problem: without the correct architecture of OEM numbers and data normalization, searching for spare parts turns into a lottery. I have experience building catalogs on Magento and Laravel, where I implemented exactly this logic: the central entity is the OEM number (cleansed of special characters), to which all equivalent brands are linked (through a cross-reference table) and applicability to cars.

My solution for you:
Search Engine: I will replace the standard SQL search with Elasticsearch or Meilisearch. This will solve the issues of speed, fuzzy search, and ignoring special characters (spaces, dashes, dots) in articles.
Database: Refactoring the database. We will create a separate table for oem_codes, which will be linked to products (your items) and crosses (equivalents). This will allow searching by one number to return all compatible spare parts, even if they are named differently in the supplier's price list.
TecDoc API: Integration with TecDoc (or a cheaper alternative like PartsAPI) for automatic enrichment of product cards (photos, specifications, cars) when importing price lists.

A budget of $1000-1600 is quite realistic for the basic implementation of the search core and database structure. I am ready to discuss the details and show examples of the architecture.

  • Projects -
  • Rating -
  • Rating 50

Budget: 27000 UAH Deadline: 30 days

Good day!

I am ready to help with the refinement of your website and the resolution of key issues related to search and cross-referencing logic.

I have over 15 years of experience in PHP and Laravel, having worked with large catalogs and complex data logic. I understand the specifics of the auto parts niche: OEM numbers, equivalents, cross-references, applicability, as well as the difference between TecDoc and simple price lists.

I see your main problem correctly: you currently do not have a "data center" (OEM), which disrupts both search and catalog logic.

What I propose to implement:
1. Smart search

  • Projects -
  • Rating -
  • Rating 140

Budget: 27000 UAH Deadline: 30 days

Good day!

I have experience in developing and refining e-commerce projects, including those with complex search logic and data structures. I work with Laravel and have repeatedly implemented custom search solutions (including working with articles, partial matches, data normalization, and autocomplete).

I have a good understanding of the auto parts niche:

what an OEM number is, cross-references, substitutes
the difference between "raw" supplier prices and structured catalogs (TecDoc)
typical issues: duplicates, "broken" links, incorrect searches by number
What I can offer for your tasks:

  • Projects -
  • Rating -
  • Rating 87

Budget: 27000 UAH Deadline: 7 days

Good day, ready for collaboration. I have a lot of experience in projects related to auto parts, I have worked on projects for companies such as https://asg.ua, https://rooler.ua/uk, https://www.novasyla.com.ua/ and many others. I have done integrations with Tekdok and Lakhimo, searching for parts by VIN number, state number, and others. I can only provide a price after a detailed assessment of the data in the database, the technologies used, and the quality of the code.

  • Projects 96
  • Rating 4.9
  • Rating 3 276

Budget: 27000 UAH Deadline: 7 days

Hello!

I can take it on, it’s interesting to work long-term.

Regarding the tasks -- usually, the problems you mentioned lie somewhere in the realm of an incorrect categorization for your tasks, it is likely that fundamental technical changes will need to be made to the database structure, and this will immediately solve half of the search problems. Most likely, the design was based not on the cross-reference numbers but on some other product identifiers, possibly from the donor site or the flow document, although the cross-reference numbers are present in your database, but the links do not work on them, very strange...

A general audit of the site and the database needs to be conducted to bring it in order. This will also have an impact on SEO, which may bring in some free clients...

My experience with Laravel is diverse, from stores to large CRM systems and ERP, I have worked with categorization of 200k+ products, and I have experience integrating bm.parts.

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