Digital Intelligent Warehouse Assistant (DiWA)
Efficient Warehouse Management with Chatbots
Digital Intelligent Warehouse Assistant (DiWA)
Receiving, collecting, and assigning data and information within logistics processes is essential for daily supply chain business. The speed of information transmission is becoming more and more critical. Logistics managers/employees need precisely the right information, usually at those times when decisions have to be made quickly. Navigating through different systems is often time-consuming when searching for information. Other barriers to information retrieval can also occur, such as missing authorizations for specific systems. The Digital intelligent Warehouse Assistant (DiWA), a logistics chatbot, addresses precisely this problem.
DiWA enables an automated form of communication between humans and the system and can supply information for the following queries.
The Solution with KI
Initially, the chatbot has to be trained with as many questions as possible. The intelligent software learns with time and can link various data sources to recognize the context and dynamically provide information about the queries. Even spelling or syntax errors are no problem. The use of DiWA saves time and money for logistics processes and also contributes to the optimization of logistics processes.
The Advantages for the Customer
Better transparency of logistics processes
Information can be retrieved anywhere
Accessible from mobile devices
Intuitive operability
Both text- and language-based input possible
Linking of different data sources
Enables 24/7/365 services
Security through extensive role & authorization structures
Short implementation time
What is DiWA Made Of?
The core of the bots (Microsoft Bot Framework) takes over the communication with the connected channels, triggers the context recognition, and connects data sources. Microsoft LUIS provides context recognition and can recognize and return the intention of a question based on a trained data model. The Bot Framework instance is hosted at the Azure App Service.
Further fields of Application
In the foreseeable future, chatbots will establish themselves as real helpers in various areas of logistics, such as the returns process, inventory, automated appointment coordination, and digital forms or for complaints/fuel invoices, etc., as well as online process help (FAQ bot). In marketing and consumer behavior, chatbots can be used to increase sales. In risk management, losses can be minimized through intelligent systems that can independently and proactively identify measures taking complex relationships between individual risk factors into account.
If you are interested to learn more about a DiWA Use Case, please click here.