retail landscape<\/a> for mid-market companies has undergone a digital transformation to compete with large-scale global platforms. This evolution has led to the deployment of loyalty applications, e-commerce redesigns, and automated support tools.\u00a0<\/p>\nHowever, GlobalLogic explains that this technological growth has not always improved the customer experience. The primary issue is the manner in which these tools operate. Most solutions function in isolation, with minimal communication between platforms and a high dependency on human intervention to connect processes.<\/p>\n
This phenomenon, described by M\u00e1rquez as a “bot zoo,” leads to a complicated ecosystem of multiple providers where automation occurs in silos. In this environment, internal teams must manually resolve what the systems fail to coordinate. As retailers add more layers of technology, they often increase the complexity of their infrastructure without resolving the underlying disconnects. This fragmentation prevents a unified view of the customer and creates barriers to delivering a seamless experience across digital and physical channels.<\/p>\n
The Transition from Operators to Orchestrators\u00a0<\/p>\n
One of the most significant inefficiencies highlighted by GlobalLogic in mid-market retail operations is the reliance on employees to act as bridges between disconnected platforms.\u00a0<\/p>\n
When systems do not link correctly, workers spend a large portion of their time searching for orders, re-entering data, or manually coordinating low-value tasks. GlobalLogic proposes the use of agentic AI to address these labor-intensive gaps.<\/p>\n
Unlike traditional automation that follows rigid scripts, agentic AI involves intelligent agents capable of reasoning, acting, and coordinating across separate systems. Under this model, human teams can move away from being operators of repetitive tasks. Instead, they evolve into roles focused on supervision, the management of complex exceptions, and the definition of strategic business objectives.\u00a0<\/p>\n
Visible Friction in the Customer Experience\u00a0<\/p>\n
Technological disconnection becomes evident during critical moments of the consumer journey. GlobalLogic highlights the example of a product return that begins in a mobile application but must be completed in a physical store. In a fragmented environment, the point-of-sale (POS) system does not necessarily have real-time visibility into the previous digital interaction.<\/p>\n
Consequently, the process must essentially start over when the customer arrives at the store. Staff must request the order number again, rescan the item, and process the return manually. These frictions result in longer wait times and decreased customer satisfaction.\u00a0<\/p>\n
Through intelligent orchestration, an AI agent could detect the customer’s arrival, link it to the mobile request, and provide the store associate with the necessary information to finalize the transaction in seconds. This approach reduces operational friction and ensures that information remains consistent across every touchpoint.<\/p>\n
The solution to these challenges is not simply adding more disconnected tools, explains M\u00e1rquez. Instead, the focus should be on orchestrating existing assets. In a coordinated environment powered by agentic AI, agents can detect specific events, link them to the context of the customer, and trigger concrete actions.<\/p>\n
By utilizing an orchestration layer, retailers can synchronize their operations, inventory, and customer service departments. This integration ensures that the right data is available to the right system at the right time. For example, an intelligent agent can monitor inventory levels across five different locations and automatically update the e-commerce platform and the loyalty app to reflect accurate availability, preventing the common issue of customers purchasing out-of-stock items.<\/p>\n
Modernization Without Total Infrastructure Replacement\u00a0<\/p>\n
A critical concern for mid-market retailers is the cost and risk associated with replacing legacy systems. GlobalLogic notes that innovation does not require the complete dismantling of existing architecture. Through its\u00a0VelocityAI<\/a> platform, the corporation proposes a modernization strategy based on modular components and composable design.<\/p>\nThis methodology allows companies to integrate their ecosystem with new intelligence and automation capabilities. By using a modular approach, retailers can address specific pain points, like order management or customer support, without a full-scale system overhaul. This strategy provides a more sustainable path to digital maturity, as it allows for incremental improvements and a faster return on investment. The focus remains on connecting what the organization already possesses to a more intelligent and responsive core.<\/p>\n
According to GlobalLogic, the future of retail depends on the ability to connect systems, data, and decisions to ensure a fluid experience between physical and digital channels. As the industry moves toward 2H26, the ability to orchestrate complex data environments will likely be the primary differentiator between companies that lead the market.<\/p>\n","protected":false},"excerpt":{"rendered":"Technological fragmentation is preventing mid-market retailers from achieving true omnichannel efficiency. By implementing intelligent orchestration through agentic AI,…\n","protected":false},"author":2,"featured_media":45663,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[179,7493,1075,10004,512,425,3673,10838,545,294,27751,1081,27753,27754,27752,1379,27750,781,134,214],"class_list":["post-45662","post","type-post","status-publish","format-standard","has-post-thumbnail","category-agentic-ai","tag-agentic-ai","tag-agentic-artificial-intelligence","tag-ai-cloud-data","tag-ai-orchestration","tag-automation","tag-cloud-computing","tag-customer-experience","tag-data-integration","tag-digital-transformation","tag-genai","tag-globallogic","tag-mexico","tag-mexico-city","tag-omnichannel","tag-ramiro-marquez","tag-retail","tag-retail-e-commerce","tag-tech","tag-technology","tag-united-states"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/45662","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=45662"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/45662\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/45663"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=45662"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=45662"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=45662"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}