Tracking pricing and promotional and social media activities of 100s of competitors across 100s of locations in European countries on HoReCa market.
Cloud-based architecture that consists of scheduled / on-demand data gathering pipelines, storage and social media listener that monitors activity of competitors. As part of the analytics, we use statistical and ML techniques that can i.a. perform entities clustering, detect keywords in reviews. Processes are packed into end-to-end automated pipelines.
Pricing and activity data for a given location and competitor enables to identify market dependencies, influence of promotional actions and sentiment related to the brand. The solution is customised so that it can easily integrate with user’s proprietary data and deliver analytics once a day or upon request.
Competitors' activities analysis is 50x more granular within distributed location network.
Python, DL/Transformer, ETL, Cloud-based, Forecasting