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Slide 39 (1)
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Group 11

MECANIZOU EXPERIENCE

Successful Automotive Marketplace

Product Creation and Strategy

At Mecanizou, we led the creation of a complete marketplace, built from scratch with all the necessary features for an end-to-end operation. This product generated over R$ 300,000 in monthly SKU sales and ensured that over 70% of active users use the platform as their primary purchasing channel. With a focus on innovation and results, the marketplace transformed the B2B automotive sector in São Paulo, providing continuous efficiency and growth for mechanics and distributors.

About the product

The Mechanic Area is an e-commerce platform designed to help mechanic shops quickly and easily find the parts they need. By simply entering the vehicle’s license plate and the desired part, the catalog returns the exact parts compatible with the vehicle. In addition to standard e-commerce features, the platform offers post-sales services, payments, and logistics, providing a complete and integrated experience for automotive workshops.

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Main challenges

I joined the company at the beginning of product development, where I led the end-to-end construction of the marketplace. The main challenge was ensuring a simple and intuitive user experience for auto repair shops, as the target audience was not familiar with technological products.

Main features developed
Home
Product Listing Page
Product Detail Page
Carrinho
Checkout
My orders
My invoices
Credit management
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Marketing campaigns
Coupon Operation
Catalog filters
Payment split
Payment agreement​
Order cancellation 
Delivery tracking
Gamification and cashback
About the company

About the company:
Mecanizou is the main automotive B2B marketplace in São Paulo, Brazil, connecting workshops to distributors, with advanced technology and more than 600 thousand parts available in its catalogue.​

Year of operation:

February/2023 to December 2024

 

Business model

B2B Marketplace ​

Company size

​120 Employees

​​​​​

Operating location 

São Paulo -SP

Access to company networks:

  • Dribbble
  • LinkedIn
Case Study

In this case study, I highlight one of the product initiatives I led at Mecanizou, focusing on optimizing usability and strategically integrating new features. This project aimed to improve user experience and increase operational efficiency, directly reflecting in tangible business results.

Problems

A significant portion of SKUs sold on the marketplace are oils and fluids. Initially, the product directed users to enter the vehicle’s license plate to search for parts. However, oils and fluids should not be searched by license plate, as this led to incorrect results due to inconsistencies with this type of product.

Delivery

We implemented quick and easily accessible filters on the mechanic area home page, highlighting the most sought-after items by workshops to facilitate and speed up the search process.

Hypothesis

By adding specific filters for oils and fluids directly on the marketplace home page, without requiring the user to enter the vehicle’s license plate, we expect to reduce the display of incorrect results and improve the shopping experience for these items. With this change, we believe the number of successful searches will increase, providing a more efficient and intuitive shopping journey.

Result

We achieved an increase in oil sales, improved the rates of successful search results, and the filters showed positive performance in the first week after launch.

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Use of tools and frameworks
  • Hotjar:

    • Implemented Hotjar for NPS satisfaction surveys, using recording and mapping of user interactions within the product.

    Datadog:

    • Integrated Datadog for real-time performance monitoring, capturing metrics, logs, and events to optimize infrastructure and identify system bottlenecks.

    Amplitude:

    • Deployed Amplitude to analyze user behavior in the product, offering detailed insights into engagement and customer journeys, focusing on improving retention and conversion.

    Metabase:

    • Configured Metabase to create dynamic dashboards and enable self-service data analysis for non-technical teams without the need for complex SQL queries.

© 2025 by Nataly Alcantara

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