Apr 09, 2019
How automated is your supply chain?
In previous articles, we have looked at the Real Cost of Inventory and at the Internal and External Factors that affect your inventory planning and management. In this article, we’ll look at Artificial Intelligence, IOT, and Machine Learning to see how this technology is impacting companies today by reducing costs, streamlining efficiencies, and even saving lives.
Through Machine Learning, we can accurately predict inventory demand using historical data from past sales, discounts, and promotions. Artificial Intelligence is used to predict consumer demand from an external point. For example, data from Facebook posts may suggest a flu outbreak in a specific region, which means pharmacies then have the data intelligence to ensure they are adequately stocked with flu medication.
The use of robotics in manufacturing, distribution, and retail have increased tenfold over the past few years. Manufacturing companies are in highly competitive industries and have to continuously look at ways to maximize efficiencies, and robots provide that increased efficiency. This is an important tool that can boost employees' productivity so that they can be more effective in more critical areas of the business. A great example of this is seen at Walmart retail stores, where robots are set to roam the aisles during shopping hours checking stock levels, correct labelling, and correct pricing and to report out of stock items so employees can take action.
AI can go one step further and automatically place orders with suppliers. In addition to factoring in order quantities and average shipping time, AI can also look at external factors that may affect the delivery of products such as road construction or severe weather conditions.
Amazon is a great example of warehouse automation using robots. With fulfilment centers as large as 1.25 million square feet, it became difficult and physically challenging for employees to pick items. Amazon built an array of robots to do the stock picking function for them. When an order is placed online, it is assigned to a robot that finds the rack that the item is on and brings the entire rack to the packaging station where a store clerk removes the item and the robot returns the rack to storage.
An enhanced version of the Amazon robot is the newly developed Skypod from Exotec Solutions which travels at 10 MPH and can carry up to 66 pounds of product. This robot climbs the racks and can pick the exact item at a pick rate of 400 items per hour.
Access and distribution of medical products such as blood and vaccines in developing countries is a real challenge, and this problem is being addressed with the use of Zipline drones that can carry up to a 1.75kg load. The box containing the products has a small parachute attached, and the drone drops the box containing lifesaving medical products at the exact location required. Creating better health outcomes across the globe could be an enormous benefit of AI in action.
Aside from using AI for factory picking, packing, and distribution, businesses are using AI and IoT (Internet of Things) to assist with the detection of equipment failure. Sensors are connected to the machines to monitor their performance and are able to detect potential maintenance issues before they become a problem. Technicians are notified and can proactively assess and repair the machine before massive hours of downtime are incurred.
Companies with innovative leaders who are embracing these technologies will be way ahead of their competitors that are stuck in the '90s. If you have not yet designed an IoT strategy, it's wise to do so soon or run the risk of being left behind.
AI and IoT sensors and devices all need to connect to platforms – if you are running legacy systems that do not provide an integrated system, you should look at updating those first and then take the next leap to digitalization and automation. Don’t wait – the future is now.
Written by Barry Kukkuk
Barry comes from a systems architect and application development background. He started his career as the co-founder and chief developer for Icon Retail Management, a full-fledged retail management system that integrated with mainstream ERP. Barry later conceptualized and developed Inventory Optimiza for Barloworld Logistics and provided technical support for the application. It was here where Barry’s passion for Inventory Management solutions began and the industry where he would later return. Barry went on to start his own business in 2008, where he was an avid user of cloud-based apps and would only use online solutions for his business. In 2010 Barry began his journey with NETSTOCK. His enthusiasm for Inventory Management and his strong belief in “all things Cloud” collided, and we saw the release of the Inventory Management solution - NETSTOCK. Barry is the CTO at NETSTOCK, where he is responsible for all customer-facing technologies and systems that keep thousands of NETSTOCK customer instances working correctly.