As the supply chains of manufacturing companies become more complex, advanced order management is required to be able to deliver the right goods at the right time. Many manufacturing companies and their subcontractors work on a just-in-time basis, where the idea is to produce and deliver goods in the exact quantity and at the precise time they are needed. Just-in-time is effective in theory but was put to the test during the corona pandemic as limited inventory combined with shifting demand created significant delays throughout the supply chain. In that situation, smooth order management is a must to be able to handle customers' incoming orders.
At the same time that the order process needs to handle more complex supply chains, the customers' demands of a smooth shopping experience are also increasing. All customers expect to receive the right product, at the right price and at the right time. It should be simple and easy to first place an order and it then be straightforward and pain free to get in touch with the manufacturer. Read more about the customer's buying experience in the article ERP systems for B2B trading - what buying experience do your customers get?
The reality for many manufacturing companies is that they are drowning in orders and have great challenges in managing the order process in a simple and stress-free way. According to a single study by IBM, the participating companies reported that their main challenges in order management were:
It is not uncommon for an order to contain errors or to require changes and because of this, it is important that incoming orders are registered quickly so that the changes can also be handled as quickly and smoothly as possible.
One way for companies to streamline and improve order management is to use artificial intelligence (AI) and machine learning. AI speeds up the process because it is possible to get an order into the system faster compared to manual handling. AI is also not as person-dependent as manual processes. By using AI, you avoid the traditional order management process that relies on key people being in place. AI also works 24/7 with tasks that are often quite repetitive and tedious for your employees. Instead of sitting down and entering the information themselves, it is enough for your employees to monitor the process. This frees up time that can be spent on more value-creating tasks in, for example, sales or customer service.
AI and machine learning can also:
Simply put, AI and machine learning can optimize order management and make it a competitive advantage for you as a manufacturing company.
However, using AI and machine learning in the order process does not mean that people could or should be disconnected completely from order management. An employee can instead be responsible for monitoring the order handling and making regular quality checks. The system becomes more and more sophisticated over time and staff can then focus on handling deviations and taking care of customers, to ensure that the customer's buying experience is as good as it can possibly be.
Now that you are convinced that you want to use AI for your order management, the natural next question is - how do you get started? We share our best tips in the following article: 4 steps to streamline your order management . You can also read more about automation as well as 5 tips for successful automation.
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