Marketing-driven forecast of agricultural production
Summary of the entity:
Summary of the challenge:
The prediction of the success of a digital marketing campaign is a hard problem by itself, but in this challenge, we want to go one step further and try to estimate its cross-sectorial impact: we want to explore whether having an estimate of the campaign’s impact can be used as a predictor to help producers of the advertised products to forecast and optimise their production needs.
In particular, the challenge focuses in the agriculture sector where many products are fresh and perishable, and good planning can help reduce waste.
REACH Data Provider
AN GROUP: databases with historical orders of agricultural products (quantity, product, price, sales, company)
JOT Internet Media: Keyword list (mobile), and Keyword statistics in mobile campaigns. Two datasets that, when filtered appropriately, reflect the impact of marketing campaigns in the Tourism sector with relevance to the Valencia region and specifically, their inland cities or rural regions (e.g. historic villages in Castellon, cultural heritage in Valencia, nature experiences in Alicante, …). These datasets show the main interests and trends of people aiming to travel or visit Valencia region in the coming period, therefore they may be used to support decisions making by predicting people displacement or means of transport management.
External Data Provider: Provided by applicants