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Average Cachet customer savings on ride-hailing insurance, compared to premiums elsewhere.
Current Cachet users, based on the customer satisfaction score.
Scaling a car-sharing business across multiple cities unlocks growth, utilisation, and network effects, but it also introduces complex, city-specific risks.
Traffic density, driving behaviour, regulatory environments, weather patterns, and theft exposure vary significantly from one city to another. Traditional, static insurance models are not designed to respond to this level of variability.
Adaptive insurance enables car-sharing operators to manage risk dynamically across cities by aligning coverage with real-world usage, location, and behaviour. Instead of relying on fixed assumptions, adaptive insurance continuously reflects how fleets actually operate in each market.
Operating in multiple cities does not simply increase scale—it increases risk diversity. A new city introduces its unique mix of infrastructure, driver profiles, regulatory requirements, and loss patterns.
Common challenges include:
Adaptive insurance helps manage this complexity by adjusting coverage, pricing, and preventative risk controls based on actual trends in each city.
One of the defining strengths of adaptive insurance is its ability to respond to location-specific trends in usage. Instead of applying uniform coverage across all cities, insurance flexes according to the location.
For multi-city car-sharing fleets, this has far-reaching consequences, because:
This location awareness allows operators to expand into new cities without compromising financial or operational stability.
Vehicle usage patterns vary widely between cities. Some urban areas experience short, frequent trips, while others have longer rental duration or lower utilisation. Adaptive insurance activates coverage based on actual usage, not just vehicle ownership.
The key advantages are:
This usage-based model is essential for managing risk efficiently across large, distributed fleets.
Driver behaviour is one of the most significant risk drivers in car fleets leasing out their cars for ride-hailing. Cachet’s adaptive insurance uses driving behaviour data to assess actual on road performance and help you respond to risk behaviour in the fleet.
This enables:
By isolating risk at the driver and city level, operators avoid penalising the entire fleet for localised issues.
Insurance and mobility regulations differ across regions and countries. Static insurance models can slow expansion or expose operators to compliance gaps when entering new markets.
Adaptive insurance includes:
This regulatory flexibility allows car-sharing platforms to scale without restructuring insurance programs for every new market.
Managing claims across multiple cities can become operationally complex and costly. Adaptive insurance simplifies this process by linking claims directly to trip data, vehicle data, and location information.
Benefits include:
Efficient claims handling reduces operational friction and improves user trust across markets.
Adaptive insurance transforms insurance from a static cost into a real-time risk management layer. Centralized visibility across cities allows operators to identify
emerging risks early.
This includes insights such as:
These insights enable proactive decisions around fleet allocation, pricing, and operational controls.
Adaptive insurance is no longer optional for multi-city car-sharing businesses—it is a foundational layer for managing risk, enabling scalability, and sustaining long-term growth.
Since 2018, Cachet has been developing and adding to a data model based on real-world trips back-tested with actual claims data across different cities. Today, we are turning these insights into tools for action through our Driver Behaviour Analytics module within Cachet Mobility. We use advanced technology to give you an accurate risk analysis for vehicle deployments across multiple cities.
Adaptive insurance is a dynamic insurance model that adjusts coverage and pricing based on real-time factors such as vehicle usage, location, trip duration, and driver behavior, rather than relying on fixed, annual policies.
Each city presents different risk conditions. Adaptive insurance allows coverage to respond to these differences, ensuring that operators are neither under-insured in high-risk cities nor over-insured in lower-risk ones.
Coverage activates only during active rental periods, aligning insurance costs and exposure directly with when risk actually exists. This reduces unnecessary premiums and improves loss control.
Claims are linked to trip-level data, including time, location, and driver information. This speeds up claims processing, reduces fraud, and improves transparency across distributed operations.
Absolutely. Adaptive insurance scales with fleet size and city expansion, making it suitable for both early-stage platforms and large, multi-city car-sharing operators.
Usage-based insurance is an insurance model where premiums are calculated based on how much, how often, and how safely an asset is used, rather than charging a fixed annual fee.
This is the core benefit of adaptive insurance. Instead of a flat annual fee, premiums can be calculated based on actual trip or task volume, and in the case of car fleets, even the real-world driving behaviour score of the specific user. This ensures that unused assets cost less to insure and that safer driving is financially rewarded.
Instead of paying for maximum theoretical risk, businesses pay for actual, real-world usage.
This model is especially relevant for platform businesses such as:
As the platform economy grows, traditional insurance pricing struggles to keep up, and usage-based insurance steps in to fill in the gaps.
Most legacy insurance models were built for static risk covering:
The game has changed. Platform businesses don’t work that way.
The fleet size changes with demand. Users come and go. Vehicles are active at different times of the day, in different locations, under different conditions. Yet traditional insurance still charges as if everything is fully active all the time.
This leads to:
For startups and fast-scaling platforms operating on tight margins, this becomes a bottleneck on the path of growth.
Traditional insurance relies on fixed annual premiums that assume constant, full-time usage, regardless of whether assets are active or idle. Risk is assessed upfront using static assumptions, which means businesses often pay to insure vehicles or workers that are not actually generating revenue. Data integration is limited, adjustments are manual, and pricing rarely reflects real-world behavior.
Usage-based insurance works differently. Premiums flex based on real usage, such as trips completed, time on the road, or task activity. Risk is assessed continuously using real world data, so inactive assets cost less to insure while active ones remain fully covered. Pricing adapts around usage changes, supported by integrated data and analytics that give platforms clearer visibility and control over their insurance distribution.
Usage-based insurance links insurance coverage directly to real-world habits. If a vehicle or user is inactive, insurance costs adapt. On the contrary, if activity increases, coverage scales automatically to match demand. This makes insurance adaptive and reduces the burden on payers.
Usage-based insurance is the pillar on which adaptive insurance stands strong.
Adaptive insurance leverages technology, data, and automation to continuously align coverage with real-world operations. Usage-based pricing is what allows this alignment to stay fair, stable, and scalable.
An adaptive insurance platform like Cachet:
Instead of insurance being a fixed cost, insurance at Cachet is a risk-control system that rewards users with savings and peace of mind.
If you’re opting for Usage-Based Insurance, you have nothing to lose:
If assets are not generating revenue, insurance costs should not stay high.
Usage-based insurance ensures:
This alignment protects margins and improves forecasting.
Modern usage-based insurance platforms integrate:
With AI-supported analytics, operators can:
This shifts insurance from passive protection to active risk prevention.
When claims data is integrated into the same system that tracks usage, platforms gain:
Getting vehicles back on the road faster directly impacts revenue.
Platform businesses scale unevenly. Insurance must keep up without creating exposure gaps.
Usage-based insurance supports:
This ensures less friction and more growth.
Usage-based insurance is particularly valuable for:
Any business where usage is dynamic benefits from this model.
A gig platform connects independent workers to short-term tasks such as deliveries, ride services, or on-demand labor. Activity levels vary widely since workers log in and out unpredictably, demand peaks during specific hours or seasons, and risk exposure changes with task type and location.
Traditional insurance models assume continuous exposure, with undesirable consequences like overpaying for inactive workers and the inability to determine correct coverage at all times. There is limited visibility into risk patterns across the workforce. These limitations lead to rising costs and compliance risk.
A lot changes when you work with Cachet. Our clients can add and remove assets directly within Cachet Mobility. They can distribute and redistribute insurance as needed across their fleet within he platform. The result is a seamless way to keep coverage aligned with asset (users or bikes, or cars, etc) count without having to send CSVs, Slack, and emails to your insurer. Reducing the risk of under-coverage or over-coverage.
Insurance is no longer just a legal requirement.
For operators who embrace usage-based insurance as part of an adaptive insurance strategy, it becomes a differentiator.
Platforms like Cachet can:
In competitive markets, this operational edge matters.
Usage-based insurance means you pay insurance premiums based on how much and how safely an asset is used, rather than paying a fixed annual price.
Usage-based insurance is calculated using factors such as the number of trips completed, the distance driven, the time the vehicle is in use, vehicle activity, and driving behavior data.
No. While usage-based insurance is commonly used for vehicle fleets, the model also applies to gig work, delivery platforms, and other usage-driven activities.
Usage-based insurance is often more cost-efficient than traditional insurance because you’re not paying for idle or low-risk periods. Costs are calculated on actual exposure.
Usage-based insurance focuses on pricing linked to usage. Adaptive insurance builds on that by using technology, analytics, and automation to manage risk continuously. Predicting and preventing negative outcomes at scale.
Yes. Usage-based insurance is particularly valuable for startups that often struggle with problems like fluctuating demand, limited margins, and fast-changing risk profiles.
Whether you operate in micromobility, manage car fleets, support gig work, or run car-sharing services, Cachet makes insurance manageable, predictable, and flexible.
The employment landscape is changing. It is not just the traditional 9-5 model that is on the way out. Revolutions are underway in where, how and for whom we work.
In every field, we see the prioritisation of flexibility. For many, on-demand gig work has become the standard. Ride-hailers, last-mile couriers and app-enabled handymen, are more common than ever. Thanks to digital platforms, connecting service providers with customers at the touch of a screen.
But can the guardrails of traditional business keep up? Insurance, for example, has long been a financial safety net, protecting businesses from unexpected risk. In today’s on-demand, flexibility-first, platform economy those same guardrails risk becoming blockers unless they evolve.
Traditional insurance is not suited for the dynamic nature of the platform economy. Workers’ schedules evolve based on demand and opportunity. Fixed monthly-based policies are a drag on on-demand services as they fail to adapt to use-age based trends.
Adaptive insurance, like On-Demand service, rethinks the traditional insurance model to build a new set of solutions fit for the modern economy. It uses real-world usage data to set premium prices, offering a flexible pricing set-up that reflects actual usage habits.
This model eliminates both overpayment and under coverage issues to offer a flexible, smarter pricing method. For platform businesses, it aligns their insurance cost to their unit-economics in a radically powerful way.
Reshaping the market requires unique solutions, not only for revenue-generation but also for cost risk as you scale. Apps offering ride-hailing services, such as Uber Bolt and Lyft, understand this more than any. Insurance is their largest expense after driver pay.
To control costs and improve safety, companies are partnering with Cachet to develop insurance solutions that match their operational reality. These solutions combine adaptive coverage with predictive and preventative tools that enable proactive risk management
It’s not just the platforms themselves who can benefit from adaptive insurance solutions. Increasingly, we are seeing operators build value for their users through insurance offerings.
Thanks to Cachet, Bolt has embedded insurance in the driver’s application to reward loyalty with meaningful insurance savings. Just one way platforms can facilitate drivers access to fairer, smarter coverage tailored to real-world schedules.
Gig platforms, such as Taskrabbit or Ring Twice, face a more unique challenge. How to retain tasker loyalty when faced with competition and even the option to repeat work after an initial engagement off-app?
Building loyalty over the long term is critical for digital platforms. Adaptive insurance is increasingly becoming a meaningful retention solution that lowers the cost and guarantees security of loyal users
Taskrabbit adopted adaptive insurance as a reward for their taskers’ loyalty. Insurance became a way to reward loyalty with protection and social value. Going beyond accident and critical injury cover, to also include compassionate and family leave.
Everything embedded into the Cachet platform experience. No separate policies. No fine print. Just clear, accessible protection. The result is an end-to-end insurance experience that delivers high Tasker retention as a result
The last-mile delivery system is complex. Courier journeys vary in terms of time and distances. Just like with rides and trips in shared mobility, traditional insurance struggles to understand the real risks involved. As a result, under-coverage or over-priced coverage is the norm.
Adaptive insurance solutions can provide last-mile delivery operators with a solution that allows them to ensure courier safety. An adaptive pricing model, pay-per-rides, turns insurance into a competitive advantage for operators.
But beyond fairer pricing solutions, Cachet’s platform brings operation data into predictive insights into risk and usage. Layering on-top of these a web of preventative recommendations and tools to prevent riskful outcomes before they emerge
The result, for last-mile delivery, is coverage that actually makes sense to adopt – keeping fleets safe. Whilst operators gain a smarter way to shape courier performance over the long term.
Every sector is being reshaped by technological innovation, and insurance is no exception. Cachet’s data-first technology enables adaptive insurance that predicts and prevents risk at scale—turning insurance from a headache into a competitive edge for digital platforms.
For platforms built on operational efficiency, adaptive insurance solves a critical scaling challenge. On-demand services gain the flexibility they need, while independent workers benefit from smarter coverage and fairer pricing that reduces their operational costs.
The result is insurance tailored to platform operations—without traditional complications—that drives adoption and enables sustainable growth across the platform economy.
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Our team is excited to help your fleet business thrive.