Measurence Scout: correlation between a location’s traffic and weather conditions – old

Scout is a location scouting solution by Measurence that helps physical businesses make business data-driven decisions. Using its own WiFi technology, Measurence is collecting data about the traffic of people in and around phisical locations and provide analytical reports and business insights to the location managers.

In this scenario,  Measurence  has developed – in collaboration with EW-Shopp technical partners – the new “Event and Weather Scout Dashboard” by adding an additional layer of information to this analytics: correlations with weather and events data.

“Event and Weather Scout Dashboard” will help businesses optimize their ROI based on historical analysis and future predictions of customer flows vs seasonality and weather trends.

The service was built using machine learning algorithms and is able to predict the number of visitors for future marketing events 1-12 weeks in advance as well as understand the effectiveness of past events. So the marketing department can make decisions about the best time for marketing campaigns.


  1. Add layers of intelligence to Measurence Scout (correlations with weather and events data)
  2. Build vertical specific products which enable clients to optimize their resources: sales promo activities; staff management; inventory & out-of-stock management; Integrate external datasets; In-depth analysis; Prediction
  3. Expand to new markets


“Event and Weather Scout Dashboard” will help companies:

  • Better allocate their Advertising budget based on quantitative historical analysis of customer flows vs seasonality and weather trends
  • Determinate the best timing for Marketing Campaigns


  • Automotive
  • Retail
  • Insurance
  • Out-of-home advertising
  • Commercial Real Estate

RESEARCH & INNOVATION DOMAIN: Data integration, analytical and predictive modelling, user interactive interface including visualizations

TOOLS INVOLVED: ArangoDB, statistical and predictive modelling were realized in python, JavaScript library highcharts

CONTACT PERSONOlga Melnyk – Alessandro Prioni