case study — 02 / 02
ahh scallops!
client-supplied research data shaped for a launch-ready platform
visit Ahh Scallops! ↗
ahh scallops! helps australians compare food costs across delivery platforms and restaurants' direct ordering channels. the team came to correlo with the source data already collected. correlo's focused contribution was to clean, match and structure that client-supplied data—spanning tens of thousands of restaurants and millions of menu items—and build the high-performance web back-end needed for launch.
approach
working from datasets supplied by the ahh scallops! team, correlo focused on entity matching: identifying when differently named or formatted records referred to the same restaurant, then reconciling millions of menu-item records across delivery platforms and direct ordering channels. correlo transformed the supplied data into application-ready structures and built the web back-end to serve the comparison experience quickly as the product moved towards launch.
outcome
the project launched with a high-performance web back-end connecting the ahh scallops! team's data to a consumer-facing comparison tool. the ahh scallops! team supplied the source data; correlo prepared it for the platform through cleaning, entity matching and application-ready structuring, then built the back-end foundation within their broader product.