{"id":94730,"date":"2026-01-09T13:56:27","date_gmt":"2026-01-09T13:56:27","guid":{"rendered":"https:\/\/www.newsbeep.com\/us-ny\/94730\/"},"modified":"2026-01-09T13:56:27","modified_gmt":"2026-01-09T13:56:27","slug":"manhattan-associates-adds-ai-agents-to-active-omni-for-retailers","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/us-ny\/94730\/","title":{"rendered":"Manhattan Associates adds AI agents to Active Omni for retailers"},"content":{"rendered":"

Key Terms<\/p>\n


\n
\n agentic ai
\n
\n technical
\n
\n <\/p>\n

Agentic AI refers to computer systems that can make their own decisions and take actions without needing someone to tell them what to do each time. It’s like giving a robot a degree of independence to solve problems or achieve goals on its own, which matters because it could change how we work and interact with technology in everyday life.<\/p>\n

<\/p>\n


\n
\n fulfillment optimization simulation
\n
\n technical
\n
\n <\/p>\n

A fulfillment optimization simulation is a computer-based rehearsal of a company\u2019s order-delivery process that tests different ways to pick, pack, ship and route products before changes are made in the real world. Like running a dress rehearsal or trying different routes on a map, it helps managers find faster, cheaper and more reliable ways to get goods to customers; investors watch it because better fulfillment can cut costs, boost sales reliability and protect profit margins.<\/p>\n

<\/p>\n


\n
\n natural language interface
\n
\n technical
\n
\n <\/p>\n

A natural language interface is a way for people to interact with technology using everyday language, like speaking or typing in sentences, rather than complex commands or codes. It allows users to communicate with computers or software in a simple, intuitive way, similar to having a conversation. For investors, this means easier access to information and tools, making decision-making faster and more straightforward.<\/p>\n

<\/p>\n


\n
\n kpis
\n
\n financial
\n
\n <\/p>\n

Key performance indicators (KPIs) are specific, measurable metrics a company uses to track how well it is reaching important goals, like sales growth, profit margins, customer retention, or production speed. They matter to investors because KPIs act like a company\u2019s dashboard gauges\u2014showing whether management\u2019s strategy is working, signaling trends or problems early, and helping predict future earnings and risks that affect the value of an investment.<\/p>\n

<\/p>\n


\n
\n
\n
\n <\/p>\n

01\/09\/2026 – 08:30 AM<\/p>\n

ATLANTA–(BUSINESS WIRE)–
\nManhattan Associates<\/a> (NASDAQ: MANH<\/a>), the global leader in supply chain commerce with unmatched AI capabilities, today announced major enhancements to Manhattan Active\u00ae Omni<\/a>. These innovations are designed to help retailers maximize in-store and online sales while delivering best-in-class customer experiences across all touchpoints. New capabilities include embedded agentic AI for store associates and customer service teams, real-time sales, and fulfillment insights delivered natively within the user experience, and brand-new capabilities focused on maximizing both revenue and profit when shipping from stores.<\/p>\n

\nManhattan announced commercial availability<\/a> of three new AI agents, a Store Associate Agent, a Contact Center Agent, and an OMS Configuration Agent, all available within the Manhattan Active Omni user interface, to support retailers\u2019 selling and service teams. Using a natural language interface, these agents deliver immediate, actionable insights into store activity, sales trends, inventory, returns, and customer behavior, helping associates and customer service teams resolve issues faster and provide more personalized support.<\/p>\n

\n\u201cRetailers are under constant pressure to move faster, operate smarter, and deliver seamless experiences across every touchpoint,\u201d said Brian Kinsella, SVP of Product Management at Manhattan Associates. \u201cOur latest updates reflect Manhattan\u2019s ongoing commitment to delivering cutting edge artificial intelligence within our applications. Whether it\u2019s the myriad machine learning algorithms present for years or our new Agentic AI and Fulfillment Simulation capabilities, we\u2019ve long believed true AI needs to live within rather than alongside our applications. We\u2019re proud to partner with a number of world class retailers on the design and development of these breakthrough technologies.\u201d<\/p>\n

\nAlong with the newly announced agentic AI<\/a> innovations, Manhattan Active\u00ae Point of Sale<\/a> continues to advance with Customer Facing Display, a powerful new enhancement that brings shoppers into the checkout experience. Customers can view their cart in real time, attach their loyalty information to a transaction, enter shipping details, and choose how they\u2019d like to receive their receipt, all from a dedicated display. Retailers can also capture additional customer input, ensuring greater accuracy and faster transactions at the point of sale, bridging the gap between associates and shoppers, and delivering a smoother, more engaging checkout experience.<\/p>\n

\nAdditionally, the Fulfillment Optimization Simulation engine enables enterprises to model and compare alternative fulfillment strategies by balancing cost, speed, service level, and margin. It provides data-driven insights into split shipments, total fulfillment costs, location-level distribution, and key KPIs using a consistent set of orders for each strategy. Users can easily adjust optimization rules, rerun simulations, and compare results side-by-side to understand the true impact of each change. The engine also supports \u201cwhat if\u201d scenario planning – allowing teams to anticipate constraints, evaluate operational shifts, and analyze trade-offs in a fully self-serve manner. By replaying historical or selected orders, businesses can continuously optimize fulfillment, uncover new savings, and drive meaningful performance improvements.<\/p>\n

\nTogether, these innovations reflect Manhattan\u2019s continued focus on delivering practical, enterprise-ready advancements that help retailers move faster and operate with greater confidence.<\/p>\n

\nFor a demo and more details, visit Manhattan\u2019s Booth #5338<\/a> at NRF 2026.<\/p>\n

\nReceive up-to-date product, customer and partner news directly from Manhattan on LinkedIn<\/a>.<\/p>\n

\nABOUT MANHATTAN ASSOCIATES:<\/p>\n

\nManhattan Associates is a global technology leader, providing supply chain and omnichannel commerce solutions with unmatched AI capabilities. We design, build and offer best-in-class, AI-powered, cloud-based solutions that drive resilience and efficiency for businesses. We enable enterprises to uniquely unify front-end sales with back-end supply chain execution.<\/p>\n

\nOur commitment to innovation, cloud-native platform and API-first architecture create simpler experiences and faster paths to value for our customers. We empower them to preempt and react to emerging trends and global disruptions with technical expertise and operational confidence, transforming challenges into competitive advantage. For more information, please visit www.manh.com<\/a>.<\/p>\n

\"\"<\/p>\n

View source version on businesswire.com: https:\/\/www.businesswire.com\/news\/home\/20260109780453\/en\/<\/a><\/p>\n

\nPress Contact:
\n
Devika Goel
\n
Manhattan Associates
\n
Tel: +1 470-435-1566
\n
dgoel@manh.com<\/a><\/p>\n

Source: Manhattan Associates<\/p>\n","protected":false},"excerpt":{"rendered":"Key Terms agentic ai technical Agentic AI refers to computer systems that can…\n","protected":false},"author":2,"featured_media":19769,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[35],"tags":[44030,9031,75,44318,1972,84,83,9,24,44032,63,22313,25596,13529],"class_list":{"0":"post-94730","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-manhattan","8":"tag-ai-agents","9":"tag-manh","10":"tag-manhattan","11":"tag-manhattan-active-omni","12":"tag-manhattan-associates","13":"tag-manhattan-headlines","14":"tag-manhattan-news","15":"tag-new-york","16":"tag-new-york-city","17":"tag-nrf-2026","18":"tag-nyc","19":"tag-point-of-sale","20":"tag-retail-technology","21":"tag-supply-chain-commerce"},"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/us-ny\/wp-json\/wp\/v2\/posts\/94730","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/us-ny\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/us-ny\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us-ny\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us-ny\/wp-json\/wp\/v2\/comments?post=94730"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/us-ny\/wp-json\/wp\/v2\/posts\/94730\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us-ny\/wp-json\/wp\/v2\/media\/19769"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/us-ny\/wp-json\/wp\/v2\/media?parent=94730"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us-ny\/wp-json\/wp\/v2\/categories?post=94730"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us-ny\/wp-json\/wp\/v2\/tags?post=94730"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}