Vision AI empowers an automobile giant

Personalize Customer Experience & Enhance Revenue

The Client

A large automobile manufacturer

Catering to a customer base across the globe, this two-wheeler OEM giant wanted a custom and scalable AI solution that had the power to track and measure customer engagement and experience across their large network of sales and service touchpoints.

Akaike’s edge-cloud agnostic solutions offer great flexibility.

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Executive Summary

Industry Overview


The automobile industry is changing rapidly. Autonomous driving, electric power-trains, digital services, and mobility platforms have become the key pivots to an industry on the verge of disruption. Much like tech businesses who have opted for digitization and increasing automation to become customer-centric, automotive and mobility players are reinventing themselves for the future.

Business Challenge

Customer Journey

A smooth in-store experience translates into customer acquisition, retention, loyalty, and brand advocacy. Identifying friction points in the customer’s journey, therefore is key to crafting positive purchase and support experiences. The client wanted to profile and segment walk-in prospects, personalize customer experience as well as collect feedback across company-owned showrooms and franchisee outlets with Vision AI, doing away with the manual processes that were slow and error-prone.

The Akaike Edge

Reliable inferences with minimal training data

Real-time AI-tailored recommendations to improve conversions.

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Blend of Vision AI and Deep Learning

Step 1.

Expand the camera infrastructure

After scrutinizing the existing video feeds, increasing the CCTV coverage was recommended. Fisheye cameras were installed as required.

Step 2.

Capture the entire customer journey

Combining the power of ML and DL, an AI-driven inference solution that captured the entire customer journey including customer walk-ins, behavior, and engagement was developed.

Step 3.

Insightful dashboard for marketing team

The data-driven, real-time insights including footfall traffic, demographic profiling, dwell time, emotion detection, and heat maps were transferred to a user-friendly dashboard for the marketing team.

Research shows that 87% of Vision AI
projects do not yield expected results

either owing to training data insufficiencies stalling the project, or being too slow to deploy. Our AI experts can help you accelerate in data sparse environments.

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Akaike helps businesses and communities crack vast volumes of unstructured data using Vision AI to extract actionable insights, thereby improving the way they work, live, learn, and play.

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