When you’re shopping online, the product itself is just one part of the experience—how easy it is to find, explore, and purchase what you’re looking for matters just as much. From seamless navigation to a smooth, secure checkout, the overall shopping journey plays a critical role in shaping customer satisfaction.
Salesforce Commerce Cloud is a powerful, cloud-based platform designed to optimize every step of this journey for ecommerce businesses. With its robust set of tools, it helps companies provide a unified, personalized experience across various channels while efficiently managing products and orders.
But what truly takes the shopping experience to the next level is AI! In fact, 84% of organisations that have fully implemented AI in ecommerce say it’s had a moderate to major improvement in these areas. Salesforce Einstein AI in Ecommerce brings hyper-personalization to the forefront, allowing businesses to deliver tailored product recommendations, intelligent shopping assistants, personalized descriptions, automated promotions, and much more. This innovative use of AI not only enhances the customer experience but also drives employee productivity.
In this blog, we’ll dive deeper into how AI is transforming ecommerce. We’ll explore real-world use cases and highlight the tangible benefits of integrating AI into your ecommerce strategy.
5 Game-Changing Use Cases for AI in Ecommerce
AI in ecommerce isn’t just a game-changer for customers—it’s equally transformative for employees. For customers, it means a seamless shopping experience with personalized recommendations and effortless product discovery. 74% of shoppers will abandon a brand after three or fewer bad experiences. For employees, it translates to quicker page customizations, smart product descriptions, and targeted promotions that drive results.
Below, we’ll explore 5 key AI use cases in ecommerce that highlight its power to enhance customer satisfaction and boost employee productivity all while streamlining operations. Industry leaders are tapping into this advanced technology to transform their processes, provide personalized buying experiences, and drive growth.
1. Empowering Shoppers with AI-Powered Assistants
An online store without customer service agents may struggle to guide customers toward a smooth shopping journey, leaving product recommendations and queries unresolved.
During a 2024 survey, it was found that customer service and support were the leading application of artificial intelligence in ecommerce marketing, named by 37 percent of responding ecommerce marketers from Australia, France, New Zealand, the United Kingdom (UK), and the United States. An AI-powered shopping assistant like Einstein Copilot can interpret both natural language and image-based prompts to create seamless, personalized conversations. Using data-driven insights, this tool generates tailored responses that streamline the purchase process, offering a unique and efficient shopping experience across multiple channels.
AI-Powered Shopping Assistants
Source: Ecommerce AI Tools for Product Recommendations & More | Salesforce India
2. Enhancing Product Descriptions
Creating engaging product descriptions can be time-consuming and challenging for ecommerce businesses, often limiting their online visibility.
Generative AI solves this by crafting personalized, SEO-friendly descriptions that resonate with customers. With AI’s advanced translation capabilities, businesses can easily create descriptions in regional languages and tailored terms, offering a more localized and personalized shopping experience. This not only boosts a brand’s online visibility but also broadens its customer reach, helping companies connect with diverse audiences across the globe.
Personalized Product Recommendations
Source: Ecommerce AI Tools for Product Recommendations & More
3. Simplifying Product Discovery
Customers often face frustration when trying to find the right products, especially when search results are cluttered or irrelevant.
AI in ecommerce enhances product discovery by refining search algorithms and understanding user intent more effectively. Customers can even upload images of their favorite products instead of scrolling through endless listings, and AI will recommend similar items, making the process even more personalized. By analyzing customer behavior, preferences, and search history, AI delivers more accurate, relevant results, streamlining the discovery process and increasing the likelihood of conversion and customer satisfaction.
4. Delivering Tailored Product Recommendations
Without personalized recommendations, customers often struggle to discover products they truly want, leading to missed sales opportunities.
Einstein AI addresses this by leveraging historical customer data to analyze past behaviors and suggest products that align with individual preferences. Through Generative AI, these personalized recommendations encourage customers to add more items to their carts, enhancing their shopping experience. By integrating storefront and third-party data, AI continually refines its suggestions, ensuring a highly tailored and engaging experience for every customer.
Tailored Product Recommendations
Source: Ecommerce AI Tools for Product Recommendations & More
5. Accelerating Page Customizations
Designing unique and intuitive ecommerce pages can be time-consuming and often requires technical expertise, which can slow down the process.
AI in ecommerce simplifies this by enabling users to create fresh, customized page designs using intuitive, generative AI tools. With AI-driven coding assistance, developers can quickly generate custom components based on natural language prompts, which can then be easily adjusted to match the brand’s visual identity. This accelerates the design process, allowing businesses to deliver a personalized and seamless online experience faster.
Intuitive ECommerce Page Designs
Source: Ecommerce AI Tools for Product Recommendations & More
A Strategic Roadmap for AI Success in Ecommerce
AI’s true potential can only be unlocked when it’s built on clean, consistent, and unified data. For ecommerce businesses aiming to integrate AI into their processes, ensuring high-quality data is essential. Notably, 70% of respondents say poor data integration and harmonization is at least a moderate pain point on the road to AI implementation. Without clean data, AI implementation can miss the mark, resulting in suboptimal outcomes that fall short of improving shopping experiences and boosting brand visibility. Since AI in ecommerce often requires data from multiple applications, platforms, and third-party tools, a unified data structure is crucial to gain a comprehensive 360-degree view of the customer.
At AblyPro, we don’t just help you implement AI—we guide you through the entire process, starting with the foundation: assessing the need for AI. We assist in data cleansing, ensuring that irrelevant or inaccurate information is removed, and we also support data migration, seamlessly transferring data across systems to ensure consistency and quality. Our strategic approach follows the 3A’s of AI Implementation in Ecommerce, designed to ensure a smooth and effective transformation:
- Assess: We start by understanding your business needs, current processes, and goals to determine where AI can add the most value.
- Analyze: We analyze the historical data, collect and cleanse it to build a robust AI model
- Act: Ecommerce businesses can harness AI-driven predictive insights, customer segmentation and personalized recommendations that drive measurable outcomes.
Learn more about the 3A’s of AI here.
With this approach, we ensure your AI journey is set up for long-term success, boosting both customer satisfaction and operational efficiency.
The Bottom Line
AI in Ecommerce is unlocking transformative potential through enhanced personalization, streamlined operations, and superior customer experiences. It’s no longer just an option but a must-have strategy for enhancing brand reputation and driving customer loyalty. ecommerce businesses embracing AI have seen remarkable revenue growth. With AI-powered predictive insights simplifying product discovery and Generative AI delivering tailored recommendations, the shopping experience is more personalized than ever. Smart AI assistants automate routine tasks, boosting productivity, and improving customer service.
The future of ecommerce is AI-driven! For Ecommerce businesses to thrive in the competitive landscape, it is necessary to embrace the change and adopt AI technology.
Curious about AI in ecommerce? Let’s chat! Book your 1:1 meeting with our experts now, and discover how it can transform your business.
Author
AVP, AblyPro
Murali is the AVP – Certinia at AblyPro with 12+ years of experience in handling complex Certinia and Salesforce applications, implementations, configurations, and customizations. At AblyPro, he has been the pillar of all the Certinia PSA and ERP project deliverables, ranging from design to implementation, project management, and resource management. With years of practical knowledge and expertise in this industry, Murali supports the sales team in strategizing customer solutions to meet the actual business needs of the clients. Murali is a dynamic and experienced professional with multiple Certinia and Salesforce certifications, helping businesses to technically strive in this ever-changing landscape.
