As to Supply Chain predictions, in the book The Living Supply Chain, the authors argue that, “Speeding up the supply chain is at the root of everything that is good: improved revenue, reduced working capital, higher profitability, and less obsolete inventory. Conversely, slowing down the supply chain is at the root of everything that is bad: working capital write-offs, reduced profitability, and slowing revenues.”
To “speed” up the supply chain is to invest in change and change will come with the digital transformation of the supply chain, which is the major focus for executives in the future.
Much change in the supply chain industry will be due to innovative technologies for digital transformations, along with the recent tax reforms, and the still-current driver shortage/capacity crunch. Digital transformation of the supply chain will change everything – for the better.
These are the innovative technology predictions companies must use to undergo this transformation within their supply chains:
Cloud-based technology deployments lower cost of ownership due to not having a large capital expenditure on hardware and upgrades. Cloud-based solutions are ideal for any size business because they can be scaled up as your business grows and are easier to set-up and manage.
Advanced Analytics will support real-time decision making based on data captured across the supply chain. With analytics, businesses can more effectively predict and fill demand. You can also manage relationships with carriers, suppliers and customers while improving processes. Using advanced analytics in a transportation management network to look at historical traffic patterns, you can plan a truck’s route that takes into account time delays for more accurate arrival times.
Tracking and Tracing of raw materials through manufacturing to the end customer must take on Amazon-like capabilities, meaning customers will know where their orders are at any one time, just like when you order from Amazon. With track & trace, you will get deep visibility to SKU-level information from first-mile to last-mile, including the tracking of costs to better monitor transport spend. Communications with customers will be proactive instead of reactive, alerting customers if their order will be late or when it will arrive.
Supply Chain Visibility will make data collected from end-to-end across the supply chain available to all stakeholders, giving them greater control and visibility into what is happening across the enterprise. You can uncover roadblocks within your supply chain that could lead to delays in shipping.
Blockchain will provide interconnectivity between ledgers of supply chain trading partners, enhancing traceability of transaction history. Automating the flow of information among trading partners provides transparency and boosts efficiencies. Blockchain works with cryptocurrency to determine payment amounts, allowing drivers to be paid as they complete parts of their journey. This completely removes the transport broker from the equation, giving drivers access to quicker settlement. However, blockchain is still a technology that needs further development before it can be proved useful to some businesses.
Artificial Intelligence initiatives require specialists who are hard to find, potentially stalling any projects. AI utilizes algorithms to detect patterns in vast volumes of data and interpret their meaning such as predicting whether a carrier will be on-time based on weather conditions and past performance.
Predictive Analytics, often combined with Artificial Intelligence, helps shippers understand, automate and optimize their supply chain processes to gain better efficiencies. Predictive analytics provides shippers with actionable intelligence and predictions to guide the decision-making process, helping you to reduce costs and optimize operations. Scorecards on carrier performance can alert shippers on which carriers can better meet their service obligations.
The Internet of Things (IoT)– More devices, from pallets to trucks will have sensors embedded to transmit status and performance data. This real-time information will be used for monitoring everything from equipment health to asset locations to order tracking and more. Advanced analytical systems use the data to uncover trends that lead to predictions and performance improvements and cost reductions.