Leverage gig mobility data to assess market demand for AV fleets, build robust economic models, and forecast operational needs for your fleet's deployment.
Gridwise Analytics transforms comprehensive, anonymized data – spanning over 500,000 gig workers and 500 million trips – into actionable insights that can propel your business forward.
Leverage real-world data from every major gig platform to identify high-demand markets and pinpoint specific areas within them for your autonomous vehicle services to ensure maximum fleet utilization.
Develop financial models based on real-world data to more accurately forecast revenues, optimize pricing strategies, and assess the viability of AV fleets within specific markets.
Leverage gig mobility data to forecast vehicle, maintenance, staffing and logistical needs for your AV Fleet to ensure efficient resource allocation.
Know where and when ride-hail and delivery services are being used most
See how much drivers make per hour, per mile, and per service
Understand the unit economics of each trip based on driver earnings, incentives, and passenger tips
Understand how efficiently gig mobility services are leveraging their fleets
Identify the most and least used gig mobility services by region
Find out what vehicles are driven most by gig drivers
Find out how much customers are paying per trip, delivery, and job
Leverage insights into customer demand and worker wages to understand platform take rate
Identify to performance of individual merchants on each gig platform
Gridwise Reports allows firms to easily monitor and respond to trends in take rate, driver supply, customer demand, and merchant performance.
Access detailed data on supply, demand, and operational trends for a complete market view.
Understand key trends without needing data scientists, enabling immediate decision-making.
Receive reports in your inbox every week to ensure you have the latest insights.
Gridwise Analytics offers granular and comprehensive trip records, empowering data analysts to build precise analytic models.
Access detailed views of individual trips for in-depth analysis of driver behaviors and customer preferences.
Tailor temporal and geographic insights to meet specific needs, enabling personalized analysis and strategic planning.
Easily segment and cohort trips by driver types, regions, points of interest, and merchants for targeted insights and analysis.
Every month, we ingest and process millions of anonymized location, trip, and earnings records from ride-hail and delivery drivers that work on platforms like Uber, Lyft, DoorDash, Grubhub, Instacart, Amazon Flex, and countless others.
Gridwise Analytics’ driver panel is highly representative of market dynamics when compared with quarterly reported gig platform metrics.
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As Q4 2024 approaches, anticipation builds around Uber’s financial performance, particularly as the gig economy faces evolving regulatory, competitive, and demand-driven shifts. Investors and
For more than three years, Gridwise Analytics has been a trusted partner for stakeholders seeking deeper insights into gig mobility. Our data-driven solutions enable
Long wait times and higher fares are two of the most common reasons passengers switch between rideshare services. A recent passenger experience at LAX
