Hexaware Recognized in Gartner Magic Quadrant
Hexaware Recognized in Gartner Magic Quadrant
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Case Study
A global wholesaler used Hexaware’s Gen AI to automate product descriptions, cutting manual effort by 75% and increasing conversion rates by 20%.
Our client, a leading global wholesaler in the home improvement and hardware space, serves a network of 4,500+ independent retailers across 60 countries. With a team of over 2,500 associates and 13 regional distribution centers, they generate over $10 billion in annual sales. They’re known for their exceptional service, competitive pricing, and a wide range of products.
Clear and informative content is crucial in today’s fast-paced market with extensive product lines. Our client, however, faced significant challenges with their product descriptions:
Manually crafting high-quality descriptions for such a vast and diverse product range was time-consuming and resource intensive. This limited their ability to create consistent and high-performing content across platforms.
To address these challenges, an automated solution was needed. It had to:
This would save time and resources and ensure product descriptions were informative, engaging, and optimized for different sales channels and target audiences.
Hexaware’s generative AI (gen AI) solution is a cloud-based game-changer for product descriptions. It leverages Google Cloud Platform’s (GCP) PaLM 2 for Text, a powerful large language model (LLM) for gen AI.
This solution tackles the issue of inaccurate and incomplete descriptions head-on. Here’s how it works:
Our gen AI solution goes beyond automation to drive real business value. Here are the key benefits our client experienced:
Our solution empowered the client to streamline content creation, enhance customer experience, and drive sales growth.
Our client, facing challenges with manual product descriptions, saw a 20% boost in customer engagement, click-through rates, and conversions after Hexaware’s gen AI solution automated the process. Hexaware delivered over 61,000 SKUs, showcasing the power of gen AI for product content creation.