Schedule optimisation 

Need

A major player in the television sector needs to maximise audience ratings and optimise schedule planning for its channels. Currently, the scheduling process is managed manually by channel managers, making it time-consuming and susceptible to a high margin of error. There are numerous variables to consider, so the company requires a solution to speed up the schedule planning process and accurately forecast the expected audience ratings.

Solution

To meet this need, at Moxoff we have developed a system based on Machine Learning and optimisation algorithms, capable of accurately and rapidly estimating the expected audience for each piece of content, channel and time slot. In addition, the solution provides a ranking of the considered content and suggests the ideal schedule planning for a specific period, respecting imposed constraints and maximising expected performance.

Benefits

  • Reduction in planning times: a process that previously took several hours has been accelerated, making it possible to define the schedule in just a few minutes and significantly improving operational efficiency.
  • Automated content classification and placement: content is classified by theme and affinity, making it easier for the channel manager to plan the schedule and increasing alignment with the target audience.
  • Optimisation of strategic decisions: With the ability to analyse scenarios in real time, the company has been able to make more informed decisions regarding content scheduling and acquisitions, improving ROI.
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Moxoff S.r.l.
Via Natale Battaglia, 12
20127 Milan

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