Image/Video Analytics Customer Experience Inspection and Defect Detection Automation

Brand Compliance and Inspection for Cost Optimization Using Vision AI

vision Ai for brand compliance

The Client Two-wheeler OEM

With a network of 4,000 showrooms and service centers catering to a customer base of over 44 million, this automobile behemoth was looking for a custom AI solution to automate brand inspection and track brand anomalies across their sales and service touch points.

Top Benefits

Effective compliance to SOPs with Realtime feedback
Eliminates wrong practices during inspection
Reduces Operation costs with better results

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Executive Summary

Industry Overview Disruption

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 Experience

In-store experience is critical to purchase decisions and customer loyalty. The client wanted to streamline and ensure consistency across all visual brand touchpoints within the showroom and service centers extending to franchisee operated outlets. They wanted the manual inspection of brand placements and visual merchandising which was human effort intensive, slow, and prone to errors, replaced with a Vision AI alternative.

The Akaike Edge

Inbuilt libraries, DL models with transfer learning capabilities

Impact Delivered

Supports 18 different Compliance checks
Deployed across 1000 showrooms
90% + accuracy

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Solution

Blend of Vision AI and Deep Learning

Capture images of brand placement around the outlet

A high-resolution digital phone camera was used to capture images of points and formats in which the brand was physically displayed.

Identify and label brand discrepancies

Using Vision AI algorithms, batches of images were sorted and relevant images compared to the corresponding visual brand guidelines.

Saleswoman showcasing motorcycle to the male customer.

Transfer top level findings to dashboard

The drawn insights were then transferred to an easy-to-use graphical interface that summarized this information into actionable data.

Display of the dashboard using Vision AI software.

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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