A quick competitor analysis was done to compare with any direct competitors that were doing anything in the same space and then also benchmarks from outside of the industry. We also met with Greencross Vet to discuss what output would be useful for pet owners. We found this level of detail was not available in the AU market.
This required an in depth understanding of the products, logic and algorithm building skills to develop the final rules and algorithms to power the treatment finder.
To maximise the budget we managed to re-use existing assets and modify them to work for the new tool. Breadcrumb style navigation was utilised as a way to give feedback to the user as to where they were in the process and also as a way to quickly jump backwards if need be. The tool was also built with multi-device capabilities in mind so ultimately users can use and purchase flea, tick and worm products anywhere, anytime.
Testing and implementation
As the logic to produce the recommended treatment plan was built from the ground up, we were able to make adjustments to the logic and release multiple iterations quickly. We also worked with Petbarn I.T to write documentation and help them to install the solution package on their own environment with post live regression testing.