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Sell your classic Case Study

Auction off your beautiful, classicc vehicle. Sell Your Classic (SYC) is a well-known player in the American classic car market. As their name says, SYC offers classic cars for sale as well as host auctions.

Sell your classic

TECHNOLOGIES USED

AWS
Firebase
PHP

ENGAGEMENT MODEL

DEDICATED SOFTWARE DEVELOPMENT TEAMS

WE HELPED SELL YOUR CLASSIC BY OFFERING THEM:

Our Nearshore Software Development Team helped Sell Your Classic by:

  • Having quick access to talented, onboarded engineers
  • The capability to ramp up or down their team when necessary
  • Leveraging Teravision's experience as technical and product advisors

The Challenge

Sell Your Classic needed to build an Android and iOS app that allowed them to properly manage the amount of photos and processing their user base is creating. Though they wished to keep all their activities internal, they saw it would be difficult to accomplish what they needed without the help of offshore developers.

Challenge
Solution

The Solution

Business: Out of all the offshore developers, they chose our nearshore software development team to help them accomplish their goals. Using our fast ramp up capabilities, we would be able to help them assemble a team that can keep their goals on track.

Technology: SYC gave Teravision’s nearshore software development team full access to the codebase and documentation, and pinpointed the bottlenecks in the existing photo processing engine. To set a comprehensive code optimization of previous PHP routines, an architect and a tech lead isolated the slow code areas substituting these segments with a new, less recursive code, and added the option of passing bigger parameters within each call.

Client Quote:

"Their organization and milestone approach stood out. Additionally, they could start right away, as opposed to another organization we talked to that wouldn’t have the necessary resources for three months”. 

Ulyses Torres- Product Owner

The Results

Fast Ramp-Up: Teravision’s nearshore software development team was assembled and onboarded within a month
Technical Know-How: We optimized access to gallery functions by making all calls related to one gallery, instead of multiple tiny resource-consuming calls and rewrote previous direct petitions code to make image processing faster than before.

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