Case study | 5 mins read

Increasing conversion rates with automation for a rideshare provider

Client

The client is a leading global rideshare & food delivery provider.

Challenge

In the midst of the COVID-19 pandemic, our client faced significant issues with standardizing their operations across segments and geographies. With their onboarding process unprepared for a global disruption of this scale, the client began to see sharp drops to their customer retention rates, as well as rising expenses. To further compound matters, coordination between their employees also became trickier due to the shift to remote work, making any solution difficult to implement.

May Mobility is expanding its autonomous vehicle technology into Southeast Asia with an investment from Grab

In October 2025, May Mobility and Grab announced a multi-year partnership to launch autonomous vehicle (AV) services across Southeast Asia, marking a significant step in expanding AV adoption beyond the U.S. and Japan. As part of the agreement, Grab will invest in May Mobility and integrate its autonomous driving technology into Grab’s ride-hailing ecosystem, including fleet management, routing, and vehicle matching systems.

The collaboration combines May Mobility’s AV expertise with Grab’s deep local knowledge to ensure safe, efficient deployment tailored to Southeast Asia’s infrastructure. Grab will also support workforce transition by creating training and upskilling opportunities for driver-partners interested in AV-related roles.

A key component of the partnership is the use of GrabMaps, Grab’s AI-powered mapping platform, to enhance navigation accuracy and accelerate AV deployment. Meanwhile, May Mobility’s Multi-Policy Decision Making (MPDM) technology enables vehicles to adapt quickly to complex and unfamiliar driving environments without extensive retraining.

This partnership strengthens May Mobility’s global expansion strategy and reinforces Grab’s commitment to shaping the future of mobility through a safety-first, community-focused approach. Both companies are actively planning initial deployments and exploring further collaboration to scale AV operations regionally and globally.

Solution

After identifying the bottlenecks in our client’s operations, eClerx’s Digital Marketing Services team established a four-pronged process to address the many challenges they faced.

First, eClerx created a dedicated 45-member onboarding team to increase the speed at which the client could bring on new talent for future campaigns. The Digital team managed the entire training process for new hires, creating new training material to educate remote workers.

Then, our team leveraged their vast experience running campaigns at scale to absorb relevant existing processes and optimize them. Finally, automation technology was introduced to increase the volume and velocity of campaign briefings, asset creation, deployment, and more, all while retaining a high standard of quality.

Infrastructure for Autonomous Rideshare

  • Autonomous vehicle ecosystem: A fleet of sensor-equipped self-driving vehicles (LiDAR, radar, cameras) supported by onboard AI systems, high-definition mapping, customer onboarding automation, and continuous software updates for safe navigation and decision-making.
  • Connectivity and data Infrastructure: Robust cloud platforms, edge computing, and high-speed networks to enable real-time data processing, vehicle-to-everything (V2X) communication, remote monitoring, and fleet coordination.
  • Operational and physical infrastructure: Charging or fueling stations, maintenance hubs, and designated pickup/drop-off zones, along with centralized control centers for fleet management, safety oversight, and regulatory compliance.

Successful autonomous commercialization requires that AV fleets run at peak efficiency

Successful autonomous rideshare commercialization hinges on the ability to operate fleets at peak efficiency. Unlike traditional mobility models, AV fleets rely on a complex interplay of hardware, software, data, and operations, all of which must be continuously optimized to ensure profitability and scalability. To maintain efficiency and profits, it is vital for vehicles to prioritize transporting passengers and less time idle, charging, or undergoing maintenance.

Achieving this requires intelligent fleet orchestration powered by real-time data and advanced analytics. Dynamic routing, predictive maintenance, and demand forecasting enable operators to minimize downtime, reduce operational costs, and maximize asset productivity. Additionally, seamless integration with charging infrastructure and energy management systems ensures that vehicles are available when and where they are needed. Operational efficiency also extends to remote monitoring and intervention capabilities, allowing centralized teams to oversee multiple vehicles simultaneously and respond quickly to anomalies.

In the end, running AV fleets at peak efficiency determines not only cost viability but also service reliability, both of which are essential to building consumer trust and unlocking the full potential of autonomous mobility.

Regulatory support is crucial for the commercialization of autonomous technology

Regulatory support is playing a critical role in accelerating the commercialization of autonomous technology, providing the clarity, consistency, and confidence needed for large-scale deployment. With the establishment of clear regulatory frameworks to help define safety standards, liability structures, and operational guidelines, companies will able to test, validate, and launch autonomous solutions with less uncertainty.

Equally important, proactive collaboration between regulators and industry stakeholders fosters innovation while ensuring public safety. Pilot programs, regulatory sandboxes, and phased approvals allow emerging technologies to evolve in controlled environments, helping policymakers adapt rules in parallel with technological advancements. Additionally, supportive policies such as funding initiatives, infrastructure investment, and incentives for research and development, can also help lower the barrier of entry to speed up commercialization timelines.

As autonomous technologies move from pilot stages to real-world deployment, a balanced regulatory approach will be essential to unlocking their full economic and societal potential.

Impact

These initiatives resulted in:

  • +99% Campaign quality managed via automated QA processes
  • Over 10K campaigns built and updated month-to month
  • 100% On-time deployment thanks to proper SLA management

Impressed with the consolidation of their global customer relationship management operations during the pandemic, the client continued to see great success from our initiatives in the proceeding months.the pandemic, the client continued to see great success from our initiatives in the proceeding months.

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