Below, we\u2019ll walk through examples of how these investments might come to life and opportunities for leveraging GenAI to set new productivity benchmarks in retail and ecommerce.<\/p>\n
<\/a>5 ways to drive productivity in retail with GenAI<\/h2>\nRetail and ecommerce businesses can leverage GenAI in numerous ways already, whether they\u2019re looking to increase productivity in marketing, sales, or support:<\/p>\n
1) GenAI-powered marketing<\/h3>\n
One of the most common use cases for GenAI that many businesses\u2014both in and outside the retail industry\u2014are exploring is using AI to create marketing materials.<\/p>\n
According to a Botco.ai report<\/a>, almost 73% of marketers say their companies use GenAI to generate text, videos, images, and other types of content, and over two-thirds of them use it for brainstorming.<\/p>\nAt a basic level, companies are using GenAI tools such as ChatGPT, Writer, and Midjourney to generate content such as imagery, landing pages, marketing copy, and ecommerce product descriptions much more quickly than ever before. For small marketing teams, this can significantly increase productivity and output without putting a strain on limited resources.<\/p>\n
2) Inventory management efficiency<\/h3>\n
GenAI can also be helpful from an inventory management perspective, by monitoring the flow of inventory throughout the delivery process and using machine learning algorithms to accurately predict demand levels for certain products.<\/p>\n
Walmart, for example, is using AI<\/a> to improve inventory management for the holiday season. \u201cBy leveraging historical data and pairing it with predictive analytics, we\u2019re able to strategically place holiday items across distribution and fulfillment centers, and stores, optimizing the entire shopping experience,\u201d says Parvez Musani, Sr. Vice President, E2E Fulfillment.<\/p>\nWhat\u2019s unique about Walmart\u2019s approach is the company\u2019s use of machine learning to operate more efficiently across its sprawling store footprint of over 4,000 stores in the US alone. Its AI is able to automatically adjust for regional differences in buying habits.<\/p>\n
\u201cFor example, we will always make sure that pool toys are available in the sunny states, and warmer sweaters are stocked in colder states. Our engines are always learning, so we can optimize, increase demand or reposition inventory to higher selling regions,\u201d says Musani.<\/p>\n
3) Personalized customer experiences<\/h3>\n
Providing a personalized customer experience has become a requirement<\/a>\u2014no longer simply a nice-to-have offering. AI is quickly becoming the key to unlocking personalization at scale, and it can do a lot more than provide a better chatbot experience.<\/p>\nFrom tailored product recommendations to dynamic pricing, there is a wide range of GenAI applications in just the customer experience alone.<\/p>\n
For example, AI-powered contact center platforms such as RingCX<\/a> offer GenAI features to help service or sales agents in real time by suggesting responses, pulling relevant content from knowledge sources, and more.<\/p>\nInstead of needing a supervisor or manager to monitor and coach every call manually, GenAI can take on this role, monitoring every conversation for keywords and guiding agents to provide the best solution for customers based on existing content:<\/p>\n
![\"\"](\"\/us\/en\/blog\/wp-content\/uploads\/2025\/01\/Article-image_RingSense_AI-Coach-2.png\")
<\/p>\n
4) Operational streamlining<\/h3>\n
Beyond content generation, GenAI can also be useful in streamlining operations. Lindex, a Swedish retail brand, released a unique AI assistant<\/a>. Unlike most AI copilot or assistant features, which are designed to help contact center agents handle customer inquiries more efficiently and effectively, the Lindex Copilot is trained to be an expert on the processes and systems that are involved in running a Lindex store. The goal: to empower Lindex employees with personalized tips and guidance on how to fulfill their roles and operate a Lindex store successfully.<\/p>\nLindex Copilot is an example of how AI can be used to improve operations and optimise the customer experience. By leveraging the power of AI to offer better support to its employees, Lindex can increase efficiency and improve customer service. As Lindex continues to drive innovation and development, Lindex Copilot will play a critical role in ensuring that the fashion company continues to be a leading player in the fashion industry.<\/p>\n
Carrefour, a French supermarket and convenience store chain with over 14,000 locations globally, is using GenAI to increase the efficiency of its procurement processes<\/a>. \u201c\u201cWe realized comparing three quotes would take around 30 minutes for a buyer to do it manually,\u201d said Florian Tu\u00e9, Head of Procurement Transformation at Carrefour. \u201cIf we do it with ChatGPT and the POC that we’ve been running, it takes only 10 minutes.\u201d<\/p>\n5) Future-proofing<\/h3>\n
Even though GenAI is in many ways still an emerging technology, it can nonetheless already help futureproof retail businesses in various major areas. Almost a third<\/a> (32%) of retailers say AI has created a competitive advantage, while 24% say AI has opened new business opportunities and revenue streams and 21% say it has yielded more accurate demand forecasting\u2014all potential pillars to a retail future-proofing strategy.<\/p>\nWhether it\u2019s using AI-powered dynamic pricing to stay competitive as inflation rises or forecasting demand for products more accurately, generative AI has provided retailers with a crucial opportunity to reinforce and accelerate their future-proofing plans.<\/p>\n
<\/a>Transforming retail productivity with AI<\/h2>\nGenAI can support retail businesses in countless ways, but if you\u2019re looking to improve internal and customer communications at scale, consider an AI collaboration and contact center solution.<\/p>\n
With features such as AI assists to help agents respond to product questions in real time and AI chatbots that can respond to order status, product tracking, and more, RingCentral is designed to empower retail businesses<\/a> to operate more smoothly while providing an excellent customer experience.<\/p>\n
At a basic level, companies are using GenAI tools such as ChatGPT, Writer, and Midjourney to generate content such as imagery, landing pages, marketing copy, and ecommerce product descriptions much more quickly than ever before. For small marketing teams, this can significantly increase productivity and output without putting a strain on limited resources.<\/p>\n
2) Inventory management efficiency<\/h3>\n
GenAI can also be helpful from an inventory management perspective, by monitoring the flow of inventory throughout the delivery process and using machine learning algorithms to accurately predict demand levels for certain products.<\/p>\n
Walmart, for example, is using AI<\/a> to improve inventory management for the holiday season. \u201cBy leveraging historical data and pairing it with predictive analytics, we\u2019re able to strategically place holiday items across distribution and fulfillment centers, and stores, optimizing the entire shopping experience,\u201d says Parvez Musani, Sr. Vice President, E2E Fulfillment.<\/p>\n What\u2019s unique about Walmart\u2019s approach is the company\u2019s use of machine learning to operate more efficiently across its sprawling store footprint of over 4,000 stores in the US alone. Its AI is able to automatically adjust for regional differences in buying habits.<\/p>\n \u201cFor example, we will always make sure that pool toys are available in the sunny states, and warmer sweaters are stocked in colder states. Our engines are always learning, so we can optimize, increase demand or reposition inventory to higher selling regions,\u201d says Musani.<\/p>\n Providing a personalized customer experience has become a requirement<\/a>\u2014no longer simply a nice-to-have offering. AI is quickly becoming the key to unlocking personalization at scale, and it can do a lot more than provide a better chatbot experience.<\/p>\n From tailored product recommendations to dynamic pricing, there is a wide range of GenAI applications in just the customer experience alone.<\/p>\n For example, AI-powered contact center platforms such as RingCX<\/a> offer GenAI features to help service or sales agents in real time by suggesting responses, pulling relevant content from knowledge sources, and more.<\/p>\n Instead of needing a supervisor or manager to monitor and coach every call manually, GenAI can take on this role, monitoring every conversation for keywords and guiding agents to provide the best solution for customers based on existing content:<\/p>\n Beyond content generation, GenAI can also be useful in streamlining operations. Lindex, a Swedish retail brand, released a unique AI assistant<\/a>. Unlike most AI copilot or assistant features, which are designed to help contact center agents handle customer inquiries more efficiently and effectively, the Lindex Copilot is trained to be an expert on the processes and systems that are involved in running a Lindex store. The goal: to empower Lindex employees with personalized tips and guidance on how to fulfill their roles and operate a Lindex store successfully.<\/p>\n Lindex Copilot is an example of how AI can be used to improve operations and optimise the customer experience. By leveraging the power of AI to offer better support to its employees, Lindex can increase efficiency and improve customer service. As Lindex continues to drive innovation and development, Lindex Copilot will play a critical role in ensuring that the fashion company continues to be a leading player in the fashion industry.<\/p>\n Carrefour, a French supermarket and convenience store chain with over 14,000 locations globally, is using GenAI to increase the efficiency of its procurement processes<\/a>. \u201c\u201cWe realized comparing three quotes would take around 30 minutes for a buyer to do it manually,\u201d said Florian Tu\u00e9, Head of Procurement Transformation at Carrefour. \u201cIf we do it with ChatGPT and the POC that we’ve been running, it takes only 10 minutes.\u201d<\/p>\n Even though GenAI is in many ways still an emerging technology, it can nonetheless already help futureproof retail businesses in various major areas. Almost a third<\/a> (32%) of retailers say AI has created a competitive advantage, while 24% say AI has opened new business opportunities and revenue streams and 21% say it has yielded more accurate demand forecasting\u2014all potential pillars to a retail future-proofing strategy.<\/p>\n Whether it\u2019s using AI-powered dynamic pricing to stay competitive as inflation rises or forecasting demand for products more accurately, generative AI has provided retailers with a crucial opportunity to reinforce and accelerate their future-proofing plans.<\/p>\n GenAI can support retail businesses in countless ways, but if you\u2019re looking to improve internal and customer communications at scale, consider an AI collaboration and contact center solution.<\/p>\n With features such as AI assists to help agents respond to product questions in real time and AI chatbots that can respond to order status, product tracking, and more, RingCentral is designed to empower retail businesses<\/a> to operate more smoothly while providing an excellent customer experience.<\/p>\n3) Personalized customer experiences<\/h3>\n
<\/p>\n4) Operational streamlining<\/h3>\n
5) Future-proofing<\/h3>\n
<\/a>Transforming retail productivity with AI<\/h2>\n