Titan Company Leverages AI to Boost Efficiency and Quality in Watch Manufacturing
Alayaran.com - In a bid to revolutionize its operations, Titan Company is integrating artificial intelligence (AI) and generative AI (GenAI) into its manufacturing processes, particularly in the production of analogue watches. According to Chief Digital and Information Officer Krishnan Venkateswaran, Titan has developed an AI-powered quality control system that can verify watch times in mere fractions of a second, pinpointing any manufacturing defects with high accuracy.
The AI system, which has been trained on thousands of watch images, identifies faulty watches by marking them with a red circle, enabling operators to quickly rectify the issues. "It’s a great innovation that enhances both quality and speed," Venkateswaran told FE. This technological advancement ensures that the millions of watches produced meet the stringent quality standards expected by consumers.
Titan, which started as a watchmaker 40 years ago, has significantly expanded its portfolio to include jewelry, eyewear, ethnic wear, fragrances, and accessories. The company's embrace of AI extends beyond manufacturing to customer engagement. Its digital platforms now feature intelligent systems that analyze customer interactions to display relevant products, enhancing the online shopping experience.
"AI helps us understand customer propensities and show them products with increasing accuracy," Venkateswaran explained. Additionally, Titan employs predictive AI and GenAI in its marketing strategies to tailor messages across its diverse product lines, customer segments, and sales channels. This personalization has led to higher engagement and click-through rates.
In the eyecare sector, Titan uses vision AI technology to help customers ensure their spectacles are correctly aligned. Users can take selfies through an app, which the AI system analyzes for any misalignment, prompting a visit to the store if necessary.
The company has also introduced multilingual and conversational AI bots on its jewelry website. These bots are designed to understand customer needs, manage budget constraints, and suggest suitable products. Titan is further developing service bots for customer issue resolution, initially assisting contact center employees before potentially handling interactions directly.
Internally, AI bots are aiding employees in routine tasks, thereby boosting operational efficiency. Although specific details were not disclosed, Venkateswaran hinted at several innovative projects aimed at further enhancing manufacturing efficiency.
Titan's strategic use of AI not only streamlines its operations but also significantly improves customer satisfaction and product quality across its varied business segments.