Wipro Ltd. (Wipro AI Solutions) - Leveraging Content AI to Generate and Optimize Product Descriptions
Aeshita Dhiman, Project Engineer Kallol Ghosh, AI for Marketing Lead Karthik Bhaskaran, Architect - Data Science
Organization: Wipro Ltd. (Wipro AI Solutions)
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology service and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready sustainable businesses. With over 250,000 employees and business partners across 66 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world.
Nowadays, many businesses turn to e-commerce sites like Amazon, eBay, and Shopify to expand their direct-to-consumer (D2C) presence and improve sales. As a result, there is fierce competition among businesses in the same industry to rank well in these platforms' search results.
Content is an important strategy for reaching SEO goals. By employing the appropriate keywords and managing content across numerous touchpoints, it can assist in improving rankings. Therefore, optimizing the text of the product description page is essential if you want to be successful in e-commerce SEO.
In today’s ever-changing market, D2C companies need to be able to generate and optimize Product Description Page (PDP) content at a very rapid pace. However, updating the PDPs across numerous geographies, channels, and Stock Keeping Units (SKUs) requires a significant amount of manual labor. Thus, we leverage natural language generation approaches to automate the content.
Dataiku is the platform for Everyday AI, systemizing the use of data for exceptional business results. At its core, Dataiku helped us to leverage one central solution to design, deploy, and manage AI and analytics applications and was accessible for everyone.
Handling huge unstructured data locally was a challenge. Dataiku’s inbuilt recipes and processors enabled the ease of solution development. The visual representation of data pipelines within Dataiku helped streamline the process towards better traceability.
Using Dataiku's established NLP recipes, the text/corpus pre-processing was completed in a low-code, no-code manner. The coders were able to program some advanced features with the aid of the coding environment.
Business Area: Marketing/Sales/Customer Relationship Management
Use Case Stage: Proof of Concept
Our clients were able to run intuitive models that helped generate product descriptions leveraging Content AI. By highlighting the SEO keywords in a naturally flowing context, it helps the business connect with new audiences. It helped copywriters to overcome writer’s block and provided a new perspective on content writing.
Value Brought by Dataiku:
Dataiku as a platform is very versatile, and as a result, it was able to accommodate people with different skill sets during the POC. The Dataiku Academy, Community, and product documentation were also useful in understanding the platform, its nuances, and the scheme of things more quickly. The graphical UI of Dataiku enabled us to understand the flow visually on the entire lifecycle including operations of the AI project.
Testimonial: “We needed a solution that could reduce our timelines for E-commerce Content Optimization. By using Dataiku, we were able to save 50% of our efforts and could focus more on the business challenge. The NLP recipes helped us refine the pre-processing and post-processing steps to achieve better output. We are very excited about the output we were able to generate from the solution.” — Kallol Ghosh, Project Head, AI for Marketing (Content AI )