A company that wants to digitize and gather data to move to an AI model for supply chain must remember that AI should be used to solve their particular business problems, Sharma says. For example, if a manufacturer decides to work with a tech provider like Grid Dynamics to construct an AI supply chain model, it will most likely start by building a database with basic supplier information like location and materials costs. Then, if the company’s primary business concerns include material availability and pricing, it might include inflation data, weather data or even political data in its AI model. That enables the model to train on those factors and include them in the algorithms for making purchasing recommendations.

“Suppose you have 1,500 suppliers in your database; you know where they are located and you know their regular prices,” says Sharma. “Now imagine that some of those suppliers are in a part of the world where there is a hurricane. If your system is integrated with weather data and price data, and if you have an AI model trained for weather impact on your business, your AI engine can tell you which of your suppliers are at risk and how it could impact your raw material prices and your delivery schedule.”

The AI model could even provide a visualization on a Google map of which routes would and would not be disrupted. “All of this is done autonomously, without anybody having to press any button,” says Sharma.

Creating a Safer Workplace

Companies that have invested in closed circuit television systems for security could use AI to increase their return on investment.

“CCTVs aren’t well utilized. They have to be manually monitored by a person or looked at retroactively after some occurrence to understand what happened,” says Josh Fox, director of product marketing, AI technologies at SparkCognition.

It has developed a platform that taps into a company’s existing CCTV infrastructure and uses SparkCognition’s Visual AI Advisor to monitor, analyze and interpret the activity the camera captures. A composites manufacturer or materials supplier could use the cloud-based system to look for security lapses or safety violations.

The system includes pre-built use cases that cover areas such as health and safety, physical security, productivity and situational awareness. “A use case is a combination of a computer vision model and business logic rules that enable some sort of response or action to occur,” Fox explains.