{"id":3499,"date":"2023-12-04T14:40:31","date_gmt":"2023-12-04T14:40:31","guid":{"rendered":"https:\/\/www.rafter.one\/?p=3499"},"modified":"2025-06-11T12:06:31","modified_gmt":"2025-06-11T12:06:31","slug":"how-to-transform-manufacturing-order-management-with-ai","status":"publish","type":"post","link":"https:\/\/www.acxiom.com\/salesforce\/how-to-transform-manufacturing-order-management-with-ai\/","title":{"rendered":"How to Transform Manufacturing Order Management with AI"},"content":{"rendered":"\n

At the heart of any manufacturing company lies the crucial aspect of order management<\/a>,\u00a0which often serves as the backbone of their operations. Digital solutions,<\/span> like those offered by Salesforce, continue to support these businesses as they strive to enhance efficiency, improve customer satisfaction, and achieve better operational outcomes.<\/span> Acxiom is<\/span> leveraging<\/span> different aspects<\/span> of<\/span> <\/span>Artificial Intelligence,<\/span><\/span><\/a> centered around Salesforce\u2019s Einstein 1, to offer an end-to-end solution that solves these challenges and<\/span> transforms<\/span> manufacturing order management with AI.<\/span> Let’s delve into how AI technology<\/span> is reshaping the landscape of manufacturing order management, providing a seamless and optimized process for businesses and their customers.<\/span>\u00a0<\/span><\/p>\n\n\n\n

Order Challenges for Manufacturers<\/span><\/span><\/h2>\n\n\n\n

Manufacturing companies encounter several challenges related to order processing. A significant issue is the continued receipt of orders through email and fax, necessitating extensive manual data entry into ERPs. Furthermore, there is a lack of visibility into whether all incoming orders have been accurately entered. Another complication arises as customers, dealers, and distributors often seek updates on order statuses, which are typically confined within ERPs inaccessible to these groups. Consequently, these inquiries lead to frequent calls to Sales and Customer Service departments.<\/span> A self-service functionality would be ideal, however direct access to order status from ERPs proves challenging. Innovative solutions like AI, Order Management Systems (OMS), and Chatbots emerge as valuable tools to enable self-service order status tracking, offering a more streamlined and efficient process.<\/span>\u00a0<\/span>\u00a0<\/span><\/p>\n\n\n\n

AI-Powered Approach to <\/span>Manufacturing <\/span>Order Management<\/span><\/span> <\/span><\/h2>\n\n\n\n

The idea of using <\/span><\/span>AI in order management<\/span><\/span><\/a> is an evolving trend. Armed with<\/span> Einstein and <\/span><\/span>Einstein 1<\/span><\/span><\/a>, manufacturing companies on Salesforce can take<\/span> an AI-powered approach to solving their order management challenges. Here\u2019s how to integrate AI to transform your order management processes.<\/span>\u00a0<\/span><\/p>\n\n\n\n

1.<\/span> Intelligent Document Processing<\/span><\/span> <\/span><\/h4>\n\n\n\n

Every day, companies receive a myriad of documents, with many being <\/span>purchase<\/span> orders in PDF<\/span>, <\/span>Word<\/span> or Excel <\/span>formats. Manually inputting these orders into <\/span>a<\/span>n ERP <\/span><\/span>can be time-consuming and prone to errors. However, with Intelligent Document Processing, these challenges become <\/span>o<\/span>bsolete<\/span>.<\/span><\/span> <\/span><\/p>\n\n\n\n

AI can directly ingest PDFs into Salesforce OMS, streamlining the workflow and eliminating cumbersome data entry tasks. This automation not only expedites the process but also reduces human errors. Nevertheless, recognizing the occasional complexities and intricacies of specific orders, human reviews and adjustments are always an important part of the equation. This hybrid model of AI-powered automation coupled with human oversight ensures both speed and accuracy in manufacturing order management. <\/span> <\/span><\/p>\n\n\n\n

Once data is imported, <\/span>Salesforce OMS makes this entire process reportable. capturing records for all inbound orders and showing the status of what has been processed and what remains to be reviewed.<\/span> <\/span><\/p>\n\n\n\n

2.<\/span> Predictive AI Models for Order Accuracy<\/span><\/span> <\/span><\/h4>\n\n\n\n

Human errors, though unintentional, can lead to significant complications, delays, and even financial losses. <\/span>I<\/span>ncorporat<\/span>ing<\/span> predictive AI models <\/span>helps <\/span>alleviate this concern.<\/span> <\/span>As the AI model continues to learn, the precision of data ingestion continues to improve. It becomes adept at recognizing diverse formats and ways orders are written. Consequently, the review cycle <\/span>expedites<\/span> over time, potentially reaching a point where, in certain instances, it can be eliminated entirely.<\/span> <\/span>With the support of predictive AI<\/span>, businesses<\/span> not only improve<\/span> order accuracy but also boost customer trust, <\/span>assuring <\/span>that their orders are handled with the utmost precision.<\/span><\/span> <\/span><\/span><\/p>\n\n\n\n

3.<\/span> MuleSoft Integration with ERP<\/span><\/span> <\/span><\/h4>\n\n\n\n

Once the order is reviewed, the <\/span>final step<\/span> is to integrate it to the ERP so that all downstream order fulfillment can happen. However, the problem <\/span>remains<\/span> that the ERP is not<\/span> accessible to customers, dealers, and distributors. That’s <\/span>where<\/span> having the order in Salesforce OMS with a bi-directional integration with <\/span>MuleSoft<\/span> comes in to allow for self-service and easier order data exposure. These users can now get to order details without needing ERP<\/span> access<\/span>.<\/span> The process as a whole <\/span>supports<\/span> visibility across departments, ensuring that teams, from sales to fulfilment, are always in the loop. The enhanced transparency allows for quicker decision-making, improved inventory management, and <\/span>timely<\/span> delivery, thereby increasing customer satisfaction.<\/span><\/span> <\/span><\/span><\/p>\n\n\n\n

4.<\/span> AI Chatbots for Order Status<\/span><\/span> <\/span><\/h4>\n\n\n\n

In today’s fast-paced world, customers demand real-time updates and quick responses. Traditional methods of order status inquiries, such as calling customer service agents, can be tedious for customers and resource-intensive for businesses. AI chatbots are an excellent solution for removing the burden of order status updates.<\/span> <\/span><\/p>\n\n\n\n

Customers can effortlessly interact with these chatbots to get real-time order status updates without the wait times associated with human agents. These chatbots can handle multiple queries simultaneously, ensuring that customers get instant, accurate, and consistent responses. Moreover, by automating this aspect of customer interaction, businesses can free up human agents to handle more complex issues, enhancing the overall customer experience.<\/span> <\/span><\/p>\n\n\n\n

AI in Action <\/span><\/span> <\/span><\/span><\/span><\/h2>\n\n\n\n

Manufacturing companies can achieve immense benefits by applying AI technology to their order management processes. From intelligent document processing to predictive accuracy models, from seamless system integration to AI-powered chatbots, AI solutions are taking manufacturing order management operations to the next level. In this digital age, where efficiency and customer experience reign supreme, manufacturers need to embrace cutting-edge<\/span> tools to stay ahead of the curve. If you are interested in harnessing the power of AI to bring about transformative changes within your manufacturing order management solutions, Acxiom has the experience necessary to support you.<\/span>\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

At the heart of any manufacturing company lies the crucial aspect of order management,\u00a0which often serves as the backbone of their operations. Digital solutions, like those offered by Salesforce, continue to support these businesses as they strive to enhance efficiency, improve customer satisfaction, and achieve better operational outcomes. Acxiom is leveraging different aspects of Artificial […]<\/p>\n","protected":false},"author":13,"featured_media":5437,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":true,"_gspb_post_css":"","inline_featured_image":false,"footnotes":""},"categories":[44,6,96,66,53,116],"tags":[126,3,127,63,138,32],"topics":[],"class_list":["post-3499","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-b2b-commerce-page","category-blog","category-manufacturing","category-manufacturing-cloud","category-order-management-system","category-resources","tag-ai","tag-b2b-commerce","tag-gpt","tag-manufacturing","tag-manufacturing-use-case","tag-order-management-system"],"acf":[],"yoast_head":"\nHow to Transform Manufacturing Order Management with AI - Acxiom Salesforce Practice<\/title>\n<meta name=\"description\" content=\"Manufacturing Order Management with AI transforms business operations and enhances customer experience. 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