PumPumPum
LANCER
Lancer:
<= 2 resources OR <=3 weeks effort OR <=$3000 USD
Growth:2 - 4 resources AND upto 4 months OR
upto $30000 USD
Enterprise:Everything else
(Development)
Project Description
An emerging mobility fintech startup, Pumpumpum, specializing in IoT-enabled pre-owned car subscriptions, approached Oodles seeking AI-powered solutions to enhance vehicle handovers, predictive maintenance, and dynamic pricing. The client aimed to boost user trust, operational efficiency, and deliver personalized experiences at scale.
Scope Of Work
The client needed to manage complex vehicle subscriptions efficiently while ensuring transparency and minimizing manual tasks. The project focused on centralizing key operations: vehicle inspection, predictive maintenance, pricing workflows, and automated notifications. The solution aimed to simplify processes, improve accuracy, and enhance customer satisfaction through AI-driven automation and integration.
Our Solution
The solution deployed a multi-layered AI system integrated into the client’s platform to meet the unique demands of a subscription-based vehicle rental business. Key features included:
- AI-powered Vehicle Inspection: Computer vision via OpenCV, automated damage detection during vehicle handovers, reducing manual checks and dispute risks.
- Predictive Maintenance Engine: ML models using Python and TensorFlow forecast maintenance needs from IoT sensor data and driving behavior, enabling proactive servicing.
- Dynamic Pricing Algorithm: Real-time pricing adjusted based on vehicle usage, condition, and market demand, optimizing subscription revenue.
- Customer Profiling & Risk Assessment: AI analyzed driving patterns and payment history for personalized offers and fraud prevention.
- Seamless Backend Integration: Odoo v18 connected AI components with CRM and booking systems, delivering real-time updates and automated workflows.
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Technologies Involved
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