{"id":2893,"date":"2025-04-14T15:20:06","date_gmt":"2025-04-14T13:20:06","guid":{"rendered":"https:\/\/tenglerconsulting.com\/?p=2893"},"modified":"2026-04-21T11:23:16","modified_gmt":"2026-04-21T09:23:16","slug":"ai-in-order-management","status":"publish","type":"post","link":"https:\/\/tenglerconsulting.com\/en\/ai-in-order-management\/","title":{"rendered":"Using artificial intelligence in operational order management"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row section_type=&#8221;fullwidth&#8221; height_ratio=&#8221;60&#8243; padding_top_multiplier=&#8221;&#8221; padding_bottom_multiplier=&#8221;&#8221; rc_bg_type=&#8221;image&#8221; rc_bg_image=&#8221;2928&#8243; columns_gap=&#8221;none&#8221;][vc_column][\/vc_column][\/vc_row][vc_row section_type=&#8221;fullwidth&#8221; padding_top_multiplier=&#8221;3x&#8221; padding_bottom_multiplier=&#8221;4x&#8221; columns_gap=&#8221;60&#8243;][vc_column width=&#8221;2\/3&#8243;]<h1 class=\"grve-element grve-title grve-align-inherit grve-h2\"><span>Using artificial intelligence in operational order management<\/span><\/h1><div class=\"grve-empty-space grve-height-1x\"><\/div>[\/vc_column][vc_column width=&#8221;1\/3&#8243;][\/vc_column][\/vc_row][vc_row section_type=&#8221;fullwidth&#8221; padding_top_multiplier=&#8221;&#8221; padding_bottom_multiplier=&#8221;&#8221; columns_gap=&#8221;60&#8243;][vc_column]<div class=\"grve-element grve-divider\"><span class=\"grve-custom-divider grve-bg-dark-grey grve-align-inherit\" style=\"width: 100%;height: 1px;\"><\/span><\/div>[\/vc_column][\/vc_row][vc_row section_type=&#8221;fullwidth&#8221; padding_top_multiplier=&#8221;3x&#8221; padding_bottom_multiplier=&#8221;2x&#8221; columns_gap=&#8221;60&#8243;][vc_column width=&#8221;1\/3&#8243;][vc_column_text css=&#8221;&#8221; text_style=&#8221;small-text&#8221;]<span style=\"color: #58a4b0;\">01<\/span>[\/vc_column_text]<h3 class=\"grve-element grve-title grve-align-inherit grve-h6\"><span>Operational order management is the interface to customers<\/span><\/h3>[\/vc_column][vc_column width=&#8221;2\/3&#8243;][vc_column_text css=&#8221;&#8221;]Operational order management forms the most critical interface between a company and its customers. Its core lies in the execution of customer orders. At this interface, customer expectations, an overwhelming flow of information, and supply chain orchestration converge.<\/p>\n<p>The requirements on both people and systems are high: decisions must be made under extreme time pressure, impacting the entire supply chain. Based on demand from customers&#8217; supply chains, actions are triggered throughout distribution, inventory management, planning, production, procurement and beyond.<\/p>\n<p>The foundation for this is the end-to-end digitization of all processes, along with the automation of standardized workflows and decisions. Here, Artificial Intelligence (AI) contributes to making complex decisions in a fraction of the time, leveraging vast amounts of information where human decision-making reaches its limits and is prone to errors and delays.<\/p>\n<p>That\u2019s why we see the use of AI agents in this area as one of the most important application cases in supply chain management, which we would like to present below.[\/vc_column_text][\/vc_column][\/vc_row][vc_row section_type=&#8221;fullwidth&#8221; padding_bottom_multiplier=&#8221;2x&#8221; columns_gap=&#8221;60&#8243;][vc_column width=&#8221;1\/3&#8243;][vc_column_text css=&#8221;&#8221; text_style=&#8221;small-text&#8221;]<span style=\"color: #58a4b0;\">02<\/span>[\/vc_column_text]<h3 class=\"grve-element grve-title grve-align-inherit grve-h6\"><span>Current situation<\/span><\/h3>[\/vc_column][vc_column width=&#8221;2\/3&#8243;][vc_column_text css=&#8221;&#8221;]Developments in recent years have shown that manufacturing companies are facing rising costs for raw materials, energy, and wages.[1] At the same time, the current economic situation brings additional uncertainty in market demand. Many industries are also dealing with overcapacity,[2] leading to a strong buyer\u2019s market.<\/p>\n<p>As a result, high service levels are essential to retain customers: short delivery times, reliable deliveries, and flexibility in order changes are critical.<\/p>\n<p>Communication should be fast and frictionless. While there are different speeds in terms of information exchange, the goal is the full automation of interfaces between systems on the customer and supplier sides.<\/p>\n<p>Given rising customer expectations, uncertain demand, and increasing costs, companies face several challenges:<\/p>\n<ul>\n<li><strong>High working capital:<\/strong> Inventory levels must be optimized to reduce costs without compromising material availability and losing customers.<\/li>\n<li><strong>Rising production costs:<\/strong> Increased input costs and smaller lot sizes require better machine utilization to keep costs under control.<\/li>\n<li><strong>Ensuring service levels:<\/strong> Diverse service level agreements must be met to prove reliability in a buyer\u2019s market. Transparency and proactive planning are crucial.<\/li>\n<li><strong>Fast, reliable order processing:<\/strong> Established habits around ordering times, order changes, and goodwill arrangements between customers and suppliers often result in individualized, manual processes, increased effort, and delays.<\/li>\n<li><strong>Decision-making transparency:<\/strong> Isolated IT systems and rudimentary digital workflows require manual, time-consuming data preparation and hinder analysis.<\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column][\/vc_row][vc_row section_type=&#8221;fullwidth&#8221; padding_bottom_multiplier=&#8221;2x&#8221; columns_gap=&#8221;60&#8243;][vc_column width=&#8221;1\/3&#8243;][vc_column_text css=&#8221;&#8221; text_style=&#8221;small-text&#8221;]<span style=\"color: #58a4b0;\">03<\/span>[\/vc_column_text]<h3 class=\"grve-element grve-title grve-align-inherit grve-h6\"><span>Target vision for AI support in operational order management<\/span><\/h3>[\/vc_column][vc_column width=&#8221;2\/3&#8243;][vc_column_text css=&#8221;&#8221;]We see the goal of AI agents as supporting order management in efficiently, accurately, and quickly fulfilling customer demands. Smart and innovative solutions are used to support three key functions (see Figure 1):[\/vc_column_text][\/vc_column][\/vc_row][vc_row section_type=&#8221;fullwidth&#8221; columns_gap=&#8221;60&#8243;][vc_column width=&#8221;1\/3&#8243;][\/vc_column][vc_column width=&#8221;2\/3&#8243;]<div class=\"grve-element grve-image grve-align-left\">\r\n\t<div class=\"grve-image-item\">\r\n\t\t\r\n\r\n<div class=\"grve-image-wrapper grve-no-effect\">\r\n\t\t<div class=\"grve-thumbnail-wrapper\"  style=\"width: 1938px;\"><div class=\"grve-thumbnail\"  style=\"padding-top: 57.327%;\"><img loading=\"lazy\" decoding=\"async\" width=\"1938\" height=\"1111\" src=\"https:\/\/tenglerconsulting.com\/wp-content\/uploads\/2025\/04\/Abb1_EN-2.svg\" class=\"attachment-impeka-grve-small-square size-impeka-grve-small-square\" alt=\"\" data-column-space=\"auto\" data-lazyload=\"\" data-grve-filter=\"yes\" \/><\/div><\/div>\t<\/div>\r\n\t<\/div>\r\n<\/div>\r\n<div class=\"grve-empty-space grve-height-1x\"><\/div>[vc_column_text css=&#8221;&#8221; text_style=&#8221;small-text&#8221;]Figure 1: Application of AI agents in operational order management[\/vc_column_text][\/vc_column][\/vc_row][vc_row section_type=&#8221;fullwidth&#8221; padding_bottom_multiplier=&#8221;2x&#8221; columns_gap=&#8221;60&#8243;][vc_column width=&#8221;1\/3&#8243;][\/vc_column][vc_column width=&#8221;2\/3&#8243;][vc_column_text css=&#8221;&#8221;]<strong>Create real-time transparency<\/strong><br \/>\nAI agents analyze complex data sets and generate forecasts to detect critical bottlenecks early. Well-known examples include tracking material flows and aligning demand forecasts. Based on real-time data, AI agents predict deviations in plans (e.g., delayed deliveries, increased sales volumes, reduced production output) and assess the severity of supply chain disruptions.<\/p>\n<p><strong>Make effective delivery decisions<\/strong><br \/>\nIn bottleneck situations, trade-off decisions must be made because not all customer agreements can be met.<br \/>\nAI agents consider various information sources, such as service level agreements, current delivery performance levels, potential contractual penalties, extra costs, and expected incoming orders. Using these models, customer orders are objectively prioritized and fulfilled.<\/p>\n<p><strong>Orchestrate the supply chain<\/strong><br \/>\nThe decisions made to fulfill customer orders require actions throughout the supply chain. AI agents support both internal and external workflow automation, e.g., triggering orders, adjusting production plans, and optimizing transport routes. A major application area is also automating customer interaction using Natural Language Processing (NLP).<\/p>\n<p>By using AI agents, companies can respond more agilely to market changes and, for example, capitalize on revenue opportunities. They enable data-driven, transparent, and objective decisions that effectively meet customer requirements and minimize supply chain costs. Automating customer processes speeds up execution and reduces the error rate.[\/vc_column_text][\/vc_column][\/vc_row][vc_row section_type=&#8221;fullwidth&#8221; padding_bottom_multiplier=&#8221;2x&#8221; columns_gap=&#8221;60&#8243;][vc_column width=&#8221;1\/3&#8243;][vc_column_text css=&#8221;&#8221; text_style=&#8221;small-text&#8221;]<span style=\"color: #58a4b0;\">04<\/span>[\/vc_column_text]<h3 class=\"grve-element grve-title grve-align-inherit grve-h6\"><span>Case study: Unilever and Walmart<\/span><\/h3>[\/vc_column][vc_column width=&#8221;2\/3&#8243;][vc_column_text css=&#8221;&#8221;]A successful example of AI at the customer-supplier interface is the collaboration between Unilever and Walmart Mexico \u2014 Unilever\u2019s largest customer outside the U.S. As early as 2009, a joint program for collaborative planning, forecasting, and replenishment was launched. In 2022, &#8220;Sky&#8221; was introduced \u2014 an AI-powered system for analysis, planning, and orchestration of a cross-company supply chain.<\/p>\n<p>Walmart provides the system with daily sales data by SKU and store. Unilever supplies promotional plans for the next three to four months. An algorithm considers historical sales data, price elasticity, current trends, events, and other parameters. This results in 3,1 million forecast combinations and 12,5 billion mathematical calculations per day, ultimately generating up to 20 million Unilever product orders for all Walmart locations and synchronizing Unilever\u2019s supply chain down to material purchasing.<\/p>\n<p>In the pilot (covering ~30% of Unilever\u2019s business in Mexico), a 98% fill rate and 98% on-shelf availability were achieved. Forecast accuracy improved, increasing supply chain agility and resilience. Unilever estimates manual efforts could be reduced by 30% through automation. The model is now being rolled out to its 30 key customers worldwide, starting in the UK and USA.[3][4][\/vc_column_text][\/vc_column][\/vc_row][vc_row section_type=&#8221;fullwidth&#8221; padding_bottom_multiplier=&#8221;2x&#8221; columns_gap=&#8221;60&#8243;][vc_column width=&#8221;1\/3&#8243;][vc_column_text css=&#8221;&#8221; text_style=&#8221;small-text&#8221;]<span style=\"color: #58a4b0;\">05<\/span>[\/vc_column_text]<h3 class=\"grve-element grve-title grve-align-inherit grve-h6\"><span>The path to implementation<\/span><\/h3>[\/vc_column][vc_column width=&#8221;2\/3&#8243;][vc_column_text css=&#8221;&#8221;]The Unilever-Walmart example shows a very advanced use of AI and is the result of years of process, data, and capability development. Companies should develop their own vision for AI-supported order management based on their current challenges and strategic direction.<\/p>\n<p>We recommend an iterative approach to building operational order management capabilities. Depending on a company\u2019s maturity, the initial challenges often involve structuring transaction data (e.g., historical orders, inventory, demand plans) and measuring key order processing KPIs (e.g., delivery reliability, order lead times, forecast accuracy). This provides an initial assessment of fulfillment capability based on digitally available data. These foundations then enable the digitalization and automation of simple workflows and customer interactions.<\/p>\n<p>The next steps depend on the defined target vision. In our view, it\u2019s important to build capabilities for transparency, decision-making, and orchestration in parallel (see Figure 2).[\/vc_column_text][\/vc_column][\/vc_row][vc_row section_type=&#8221;fullwidth&#8221; columns_gap=&#8221;60&#8243;][vc_column width=&#8221;1\/3&#8243;][\/vc_column][vc_column width=&#8221;2\/3&#8243;]<div class=\"grve-element grve-image grve-align-left\">\r\n\t<div class=\"grve-image-item\">\r\n\t\t\r\n\r\n<div class=\"grve-image-wrapper grve-no-effect\">\r\n\t\t<div class=\"grve-thumbnail-wrapper\"  style=\"width: 4060px;\"><div class=\"grve-thumbnail\"  style=\"padding-top: 45.862%;\"><img loading=\"lazy\" decoding=\"async\" width=\"4060\" height=\"1862\" src=\"https:\/\/tenglerconsulting.com\/wp-content\/uploads\/2025\/04\/Abb2_EN-1.svg\" class=\"attachment-impeka-grve-small-square size-impeka-grve-small-square\" alt=\"\" data-column-space=\"auto\" data-lazyload=\"\" data-grve-filter=\"yes\" \/><\/div><\/div>\t<\/div>\r\n\t<\/div>\r\n<\/div>\r\n<div class=\"grve-empty-space grve-height-1x\"><\/div>[vc_column_text css=&#8221;&#8221; text_style=&#8221;small-text&#8221;]Figure 2: Development path of technical solutions in operational order management[\/vc_column_text][\/vc_column][\/vc_row][vc_row section_type=&#8221;fullwidth&#8221; padding_bottom_multiplier=&#8221;2x&#8221; columns_gap=&#8221;60&#8243;][vc_column width=&#8221;1\/3&#8243;][vc_column_text css=&#8221;&#8221; text_style=&#8221;small-text&#8221;]<span style=\"color: #58a4b0;\">06<\/span>[\/vc_column_text]<h3 class=\"grve-element grve-title grve-align-inherit grve-h6\"><span>How TenglerConsulting can support your transformation<\/span><\/h3>[\/vc_column][vc_column width=&#8221;2\/3&#8243;][vc_column_text css=&#8221;&#8221;]Alongside developing order management through these maturity levels, we believe that understanding the role of order management within the supply chain organization is a key success factor. That\u2019s why we emphasize involving all stakeholders across the supply chain \u2014 e.g., sales, planning, production, procurement, suppliers \u2014 to jointly initiate a change process, build trust, and realign processes and organization.<\/p>\n<ul>\n<li>The role of customer service is evolving into a holistic, operational supply chain management function with greater decision-making authority and organizational significance.<\/li>\n<li>Building AI support in order management means shifting decision-making from subjective stakeholder influence toward objective criteria, clear goals, and defined service level agreements.<\/li>\n<li>As processes become automated, manual tasks shift from standardized processing toward handling exceptions and managing yet-to-be-modeled business cases.<\/li>\n<li>Building AI-powered decision models in order management is a peak innovation achievement that requires continuous learning and development. The available technical solutions are rapidly evolving. We therefore recommend setting iterative development goals \u2014 small successes help build trust.<\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column][\/vc_row][vc_row section_type=&#8221;fullwidth&#8221; padding_bottom_multiplier=&#8221;2x&#8221; columns_gap=&#8221;60&#8243;][vc_column width=&#8221;1\/3&#8243;][vc_column_text css=&#8221;&#8221; text_style=&#8221;small-text&#8221;]<span style=\"color: #58a4b0;\">07<\/span>[\/vc_column_text]<h3 class=\"grve-element grve-title grve-align-inherit grve-h6\"><span>Transform order management with TenglerConsulting<\/span><\/h3>[\/vc_column][vc_column width=&#8221;2\/3&#8243;][vc_column_text css=&#8221;&#8221;]At TenglerConsulting, we place customer requirements at the center of our efforts to optimize supply chains and processes in supply chain management. We see operational order management as the control center of a holistic supply chain. With our experience from numerous transformation projects, we understand the interests of diverse stakeholders and support companies through processual and organizational changes in order management.<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Sources:<br \/>\n<\/strong>[1] Federal Ministry for Economic Affairs and Energy (DE), 2025: <a href=\"https:\/\/www.bmwk.de\/Redaktion\/DE\/Schlaglichter-der-Wirtschaftspolitik\/2025\/02\/04-jahreswirtschaftsbericht.html\">Jahreswirtschaftsbericht 2025\u00a0<\/a>[Accessed: 15 April 2025].<br \/>\n[2] European Comission, 2025: <a href=\"https:\/\/ec.europa.eu\/commission\/presscorner\/detail\/en\/ip_25_335\">Annual Single Market and Competitiveness Report highlights challenges and opportunities to EU competitiveness<\/a> [Accessed: 15 April 2025].<br \/>\n[3] Unilever, 2024: <a href=\"https:\/\/www.unilever.com\/news\/news-search\/2024\/utilising-ai-to-redefine-the-future-of-customer-connectivity\/\">Utilising AI to redefine the future of customer connectivity<\/a> [Accessed: 15 April 2025]<br \/>\n[4] Zero100, 2024: U<a href=\"https:\/\/zero100.com\/unilever-global-supply-chain-reboot\/\">nilever: Global Supply Chain Reboot<\/a> [Accessed: 15 April 2025][\/vc_column_text][\/vc_column][\/vc_row][vc_row section_type=&#8221;fullwidth&#8221; padding_bottom_multiplier=&#8221;2x&#8221; columns_gap=&#8221;60&#8243;][vc_column width=&#8221;1\/3&#8243;][vc_column_text css=&#8221;&#8221; text_style=&#8221;small-text&#8221;]<span style=\"color: #58a4b0;\">08<\/span>[\/vc_column_text]<h3 class=\"grve-element grve-title grve-align-inherit grve-h6\"><span>Further insights<\/span><\/h3>[\/vc_column][vc_column width=&#8221;2\/3&#8243;][vc_column_text css=&#8221;&#8221;]In our series <em>\u201cAI in Supply Chain Planning\u201d<\/em>, we describe our top use cases of Artificial Intelligence in the supply chain. Previous use cases and other supply chain trends can be found in our <a href=\"https:\/\/tenglerconsulting.com\/en\/supply-chain-insights\/\">insights<\/a>.[\/vc_column_text][\/vc_column][\/vc_row][vc_section disable_element=&#8221;yes&#8221; el_id=&#8221;author&#8221;][vc_row section_type=&#8221;fullwidth&#8221; padding_top_multiplier=&#8221;&#8221; padding_bottom_multiplier=&#8221;&#8221; columns_gap=&#8221;60&#8243;][vc_column]<div class=\"grve-element grve-divider\"><span class=\"grve-custom-divider grve-bg-dark-grey grve-align-inherit\" style=\"width: 100%;height: 1px;\"><\/span><\/div>[\/vc_column][\/vc_row][vc_row section_type=&#8221;fullwidth&#8221; padding_top_multiplier=&#8221;3x&#8221; padding_bottom_multiplier=&#8221;3x&#8221; columns_gap=&#8221;60&#8243; equal_column_height=&#8221;equal&#8221;][vc_column width=&#8221;1\/3&#8243; full_height=&#8221;yes&#8221;]<div class=\"grve-element grve-image grve-align-center\">\r\n\t<div class=\"grve-image-item\">\r\n\t\t\r\n\r\n<div class=\"grve-image-wrapper grve-no-effect\">\r\n\t\t<div class=\"grve-thumbnail-wrapper\"  style=\"width: 1536px;\"><div class=\"grve-thumbnail\"  style=\"padding-top: 125%;\"><img loading=\"lazy\" decoding=\"async\" width=\"1536\" height=\"1920\" src=\"https:\/\/tenglerconsulting.com\/wp-content\/uploads\/2024\/08\/TC3.jpg\" class=\"attachment-full size-full\" alt=\"\" data-column-space=\"auto\" data-lazyload=\"\" data-grve-filter=\"yes\" srcset=\"https:\/\/tenglerconsulting.com\/wp-content\/uploads\/2024\/08\/TC3.jpg 1536w, https:\/\/tenglerconsulting.com\/wp-content\/uploads\/2024\/08\/TC3-240x300.jpg 240w, https:\/\/tenglerconsulting.com\/wp-content\/uploads\/2024\/08\/TC3-819x1024.jpg 819w, https:\/\/tenglerconsulting.com\/wp-content\/uploads\/2024\/08\/TC3-768x960.jpg 768w, https:\/\/tenglerconsulting.com\/wp-content\/uploads\/2024\/08\/TC3-1229x1536.jpg 1229w\" sizes=\"auto, (max-width: 1536px) 100vw, 1536px\" \/><\/div><\/div>\t<\/div>\r\n\t<\/div>\r\n<\/div>\r\n[\/vc_column][vc_column width=&#8221;2\/3&#8243; full_height=&#8221;yes&#8221;][vc_row_inner height_ratio=&#8221;50&#8243;][vc_column_inner full_height=&#8221;yes&#8221;][vc_column_text css=&#8221;&#8221; el_class=&#8221;special-link&#8221;]<strong>Ready to strengthen your supply chain\u2019s sustainability through a stronger integration?<\/strong> Contact us at <a href=\"mailto:office@tenglerconsulting.com\">office@tenglerconsulting.com<\/a> to discuss how we can develop a planning framework\u2014supporting sustainable, efficient, and resilient supply chain practices made to your business needs.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner height_ratio=&#8221;50&#8243;][vc_column_inner vertical_content_position=&#8221;bottom&#8221; full_height=&#8221;yes&#8221;][vc_column_text css=&#8221;&#8221; text_style=&#8221;small-text&#8221;]<strong>About the author<\/strong>[\/vc_column_text]<div style=\"height: 14px;\" class=\"grve-empty-space\"><\/div><h3 class=\"grve-element grve-title grve-align-inherit grve-h3\" style=\"margin-bottom: 5px;\"><span>Daria Reshetniak<\/span><\/h3>[vc_column_text css=&#8221;&#8221;]T: +43 1 234 56 78<br \/>\nE: <a href=\"mailto:daria.reshetniak@tenglerconsulting.com\">daria.reshetniak@tenglerconsulting.com<\/a>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][\/vc_section][vc_section el_id=&#8221;contact&#8221;][vc_row section_type=&#8221;fullwidth&#8221; padding_top_multiplier=&#8221;&#8221; padding_bottom_multiplier=&#8221;&#8221; columns_gap=&#8221;60&#8243;][vc_column]<div class=\"grve-element grve-divider\"><span class=\"grve-custom-divider grve-bg-dark-grey grve-align-inherit\" style=\"width: 100%;height: 1px;\"><\/span><\/div>[\/vc_column][\/vc_row][vc_row section_type=&#8221;fullwidth&#8221; padding_top_multiplier=&#8221;3x&#8221; columns_gap=&#8221;60&#8243;][vc_column width=&#8221;3\/4&#8243;]<h3 class=\"grve-element grve-title grve-align-inherit grve-h3\"><span>Thinking about how to automate your customer processes and optimize your supply chain? Contact us at <a href=\"mailto:office@tenglerconsulting.com\">office@tenglerconsulting.com<\/a>\u00a0or connect with us on\u00a0<a href=\"https:\/\/www.linkedin.com\/company\/tenglerconsulting\/\">LinkedIn<\/a>.<\/span><\/h3>[\/vc_column][vc_column width=&#8221;1\/4&#8243;][\/vc_column][\/vc_row][\/vc_section]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>AI in supply chain planning \u2013 part 3. In operational order management, it\u2019s all about fulfilling many diverse customer requests in the shortest possible time. Read how Artificial Intelligence creates transparency, prepares decisions, and orchestrates the supply chain to optimally meet customer demands.<\/p>\n","protected":false},"author":7,"featured_media":2928,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[34,35,3],"tags":[],"class_list":["post-2893","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-01-operational-excellence","category-03-supply-chain-excellence","category-05-supply-chain-trends","grve-entry-item","grve-blog-item"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI in Order Management | Tengler Consulting<\/title>\n<meta name=\"description\" content=\"Create transparency, prepare decisions, and orchestrate the supply chain with AI in order management.\" \/>\n<meta name=\"robots\" content=\"index, follow, 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