Artificial intelligence (AI) is technology that allows machines, software and systems to emulate some types of human intelligence and behavior. AI is driven by systems that use “intelligent agents” and complex algorithms to understand information, perform tasks and adapt to changing inputs and environments.
Typically, AI uses human reasoning as a model for decision making, with a goal of providing better insights, products, services or efficiencies. There are several subfields of AI including machine learning, natural language processing, planning, problem solving and robotics.
Artificial intelligence has several applications in the supply chain, including extracting information, data analysis, supply and demand planning, autonomous vehicles and warehouse management.
AI plays several important roles in optimizing the modern supply chain. AI use cases are growing all the time and promise to deliver real value for supply chain management (SCM).
Extract Important Data From Customers, Suppliers and Documents
Natural language processing (NLP) is a technology that parses human language and extracts insight via AI. NLP can scan through supply chain contracts, purchase orders, chat logs with customers or suppliers and other documents to identify common themes or issues. This feedback can be used to optimize SCM as part of continual improvement.
Streamline Supply, Demand and Inventory Management
Machine learning is another aspect of AI that can analyze complex data to establish current patterns and future trends, then make decisions based on outcomes. Machine learning helps to manage the flow of goods throughout the supply chain, ensuring that raw materials and products are in the right place at the right time.
Forecast Demand Before Products Are Needed
AI can source and process data from many different areas and forecast future demand based on external factors. This feeds into supply and demand planning and product development.
Optimize Warehouse Management and Logistics
Warehouses are busy, ever-changing environments. AI can analyze warehouse processes and optimize the sending, receiving, storing, picking and management of individual products. It can also analyze fleet performance and ensure the right distribution channels to get goods to retailers and other customers in good time.
Automate Vehicles in Distribution Centers and Other Logistics Operations
Together with optimizing warehouse operations, AI can also power autonomous vehicles within distribution centers. Larger facilities often use robotic vehicles and tools to store and pick items, and they use the most efficient routes thanks to AI. In the longer-term, trucks may even become fully autonomous, reducing reliance on human drivers.
Artificial intelligence delivers several benefits for SCM:
Solutions with intelligent capabilities—powered by artificial intelligence (AI) and machine learning—are becoming even more critical in the movement of goods across assets and the supply chain.
These intelligent capabilities include:
Up-to-date, accurate data is vital to getting good information and actions out of any AI system. AI systems should be integrated with systems and databases with a rigorous process for accessing, cleansing, analyzing and acting on data.
AI relies on algorithms and models to drive insight and actions through the supply chain. SCM should run periodic checks against these models and actions to make sure everything is working within expected parameters.
AI should never work in isolation, especially for areas like supplier management. Although AI is a great way to enhance efficiency, understand data and drive actions, it is not a substitute for good relationship management by the SCM team.
There are plenty of good use cases for optimizing a supply chain through artificial intelligence:
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