Allianz Partners India, a leading Assistance and Services Company has partnered with CI Metrics, a leader in predictive analytics and risk management, to enhance its proactive roadside assistance breakdown solutions. By integrating CI Metrics’ advanced weather prediction models and AI-driven insights, the company aims to anticipate and respond to automotive weather-related challenges, enhancing customer experience and operational efficiency. This partnership marks a significant advancement in the automotive assistance industry. It combines Allianz Partners extensive experience with CI Metrics industry-leading technology to revolutionize roadside assistance services. Key benefits of this partnership:
• Proactive Solutions: With access to real-time weather data and AI-powered
predictive models, Allianz Partners will be able to forecast breakdowns caused by
adverse weather conditions, minimizing disruption, and improving customer
experience.
• Efficient Resource Allocation: Accurate predictions will enable planning and
mobilizing of the resources more effectively during weather-related incidents, ensuring
faster response time and potentially reducing average wait time.
• Enhanced Customer Trust: By offering more reliable and proactive services, Allianz Partners will reinforce its commitment to excellence and customer satisfaction.Allianz Partners India
Charu Kaushal, Managing Director of Allianz Partners India, said, “We are excited to partner with CI Metrics in this next phase of delivering unparalleled reliability for our valued customers.Leveraging CI Metrics’ advanced weather prediction models will allow us to anticipate breakdowns accurately and reduce the impact of weather anomalies on our customers during extreme weather conditions. This partnership aligns perfectly with our mission to provide peace of mind to our customers anytime, anywhere.” Gagan Agrawal, Investor and Advisor at CI Metrics, added, “Allianz Partners longstanding reputation in roadside assistance services, combined with our state-of-the-art predictive analytics and AI-driven insights, will set a new standard. Our approach incorporates satellite and drone imagery, data fusion and ground up ontology stack, AI and deep learning to achieve high prediction accuracy for severe weather events.”
