The world of technology today revolves around a central point called AI. Yes, it has been a buzzword for a long time, used in connection with almost every technological advancement. We talk about artificial intelligence, machine learning, generative artificial intelligence, chatbots, voicebots and autonomous robots.
But we need to ask ourselves, how many of us actually know what these forms of smart assistants do in practice? Or perhaps even better, in what real-world situations will they actually help us? And is it really help?
Today, we all feel that the potential of AI is great, but practical use is often lagging behind, and the ability to transform artificial intelligence into practical and beneficial tools or solutions is an increasingly common problem.
Therefore, in this text, I would like to leave castles in the air and show two examples of the use of AI in the environment of manufacturing companies that are feasible and, most importantly, functional.
Menu configuration
Let’s imagine that we have a manufacturing company and job seekers database we would like to relieve salespeople and technical specialists from the process of collecting client requirements to configure the right offer and present it to the client in the right format. The goal of using AI in this case is to speed up the process and create space for salespeople, who will be able to focus more on finding and acquiring new clients.
This process is suitable for the integration of AI in a manufacturing company for several reasons. First of all, it is important to realize that 80% of manufacturing companies trade with stable customers, where cooperation is repeated, and therefore the same products or assemblies often appear in orders. This is therefore exactly the type of process where there is the right space for accelerating and streamlining work using automation and AI.
Why does it still make sense to use AI in this process?
The current process is complex and lengthy.
It requires the involvement of several roles and skills.
It is possible to make a lot of “human errors” and cause the order how to find a job in an overheated market? to be unprofitable or the customer to reject it due to the inability to assemble the correct product.
There is obvious room for improving the quality of work and outputs.
For AI to function successfully, it is necessary to realize that this is a process in which it is necessary to have data in the right places in the systems that manage this data. And that these systems must communicate with each other correctly.
Why does it still make sense to?
For this reason, the basis is the synchronization of the ERP system, which is the source of product information, with a CRM system such as Salesforce, in which an offer configurator with artificial intelligence is created. The resulting solution in this case is self-service with artificial intelligence assistance for offer configuration on the web portal of the manufacturing company.
What does such a configurator look like and work like?
The client identifies himself using his own login.
The configurator contains predefined fields with a choice of values
AI offers the latest or most frequently ordered components, or recommends suitable ones.
AI gives you the option to select only compatible components in order to build the most accurate version of the order.
The transition to an environment of custom offer configuration will mean a fundamental change in thinking and functioning for most of them.
If you place an AI over a “brothel”, it will just generate a “brothel”.
Jaroslav Luc
Tweet
Request handling
The second practical example of using AI is a situation in which we are a customer of a company that we have produce critical products for our own business or our own clients and we need to have an overview of the status of an order, possibly change something in it or find out the expected delivery date.
Why does it make sense to involve artificial intelligence in this thailand data process? First of all, because the current setup overwhelms marketers’ email inboxes and corporate emails in general, and overtaxes call centers and technical specialists.
Why does it still make AI in this process?
The goal will be to create self-service and artificial intelligence assistance to handle customer requests. What will such self-service look like and work like?
Log in based on your identification or order identification.
Determining the place of truth where all order information is (usually CRM)
The need to ensure that channels (email, web form, phone, chat) flow into one place (CRM)
Minimizing the need for human input.
In such an environment, it is appropriate to