How on-demand companies use event data for workforce optimization and network mobilization
On-demand industries operate in a highly dynamic and competitive space. The smarter (i.e. data driven) their core functions such as workforce optimization are, and how well they can mobilize gig workers, is make-or-break. This report explores how leading rideshare companies use event data for better staffing and partner planning, and you can too.

Discover which events drive demand for on-demand companies, and how leading apps use these to mobilize and retain gig economy workers and align their workforce optimization strategies to incoming demand.
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Demand Forecasting: Incorporating events into models for smarter forecasting.
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Labor optimization: Ensuring the right number of drivers and store staff to meet demand.
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PredictHQ has supplemented incomplete data sets, including unticketed events and cancelled events, to power pricing strategies and operational decisions.
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Demand forecasting: Incorporating events into their Antuit-built models to better understand demand across 9600 stores.
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Amazon Alexa's "Events Near Me" feature uses PredictHQ data to inform users about local events.
Blog Demand forecasting: Getting drivers in the right place ahead of time to improve pick-up times.
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Event visibility: Available in Zartico’s platform enabling deeper insight and smarter decisions.
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Pricing: A key source of intelligence for the OTA Insights platform, enabling smarter pricing.
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Labor optimization: Enriching the Legion Technologies platform, used by retailers to reduce labor inefficiencies.
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