AI in your supply chain
The lack of visibility in their supply chain is their main problem, as per 84% of supply chain managers. They seek a precise overview of the whole supply chain so they can respond to the unforeseen. #lastmile is just one of the steps in the supply chain that might be difficult to control.
The use of artificial intelligence technology can optimize each of these steps, to name a few-
INVENTORY AUTOMATION:
A warehouse may include a wide range of components, and it is not?simple to keep track of them all. Teams can operate more effectively when they know where each item is located exactly.
How?
A drone fitted with an on-board camera, passes by the shelves of each section to carry out the inventories. Thanks to #ai video processing, the drone can read barcodes and recognize empty spaces
SMART INVENTORY MANAGEMENT:
It can be difficult to manage the right stock at the right location at the right time. companies can use artificial intelligence to help them implement better #inventorymanagement
How?
From historical data, orders and current stocks, an AI predicts the needs for the whole network and recommends optimized decisions. It will identify which products are selling the fastest or slowest and create a more accurate inventory accordingly.?
ORDER PICKING AUTOMATION:
#artificialintelligence enables significant time savings and productivity gains by facilitating and even automating order pickers tasks.
How?
Based on the orders, a swarm of robots moves in the racks to collect the goods and forward them to the operator. The AI guides the robots and optimizes their movements in the warehouse.
领英推荐
PARCEL SORTING AUTOMATION:
With the growth of #ecommerce in particular, parcel flows are expanding and call for optimal arrangements. AI is a useful tool for automating this #supplychain stage.
How?
Based on a predefined sorting system, the robots automatically forward the packages to their destination area. The robots move on their own, quickly. Optical recognition allows for quick label scanning to identify products and their characteristics.
TRANSPORTATION VISIBILITY:
Customers want more transparency in how their products are delivered. #logistics professionals can respond quickly to delays and unforeseen situations and alert customers thanks to this visibility and tracking.
How?
Using data on goods location around the world as well as transport conditions (weather, congestion, etc.), AI predicts the arrival of goods at their destination, providing a comprehensive overview.
DELIVERY ROUTE OPTIMIZATION:
Delivery to the final client is the phase in the supply chain that is the most complex and challenging to control because of the numerous unpredictable events that can happen (a traffic congestion, a car accident etc.). In order for delivery drivers to provide clients with a high level of service, AI-based route optimization systems will make it possible to develop effective routes in real time while taking field context into consideration.
How?
Using delivery point coordinates and different constraints (transit times, traffic conditions, etc.), powerful Operational Research algorithms optimize delivery route planning. This optimization will help anticipate delivery peaks, better distribute and optimize resources to reduce costs, but also to reduce driver stress and comply with their working hours.
AI, by applying #machinelearning techniques, collects the data and improves the performance of the next optimizations (for the transport of parcels, AI can accurately identify #delivery times based on the type of customer, the area to be delivered, the floor, the size and weight of the parcel).
A study by McKinsey underlines that?"companies that have invested in AI applied to transport and logistics have increased their margins by more than 5%."
Every industry is being affected by AI, but the logistics sector in particular is seeing and will continue to experience innovation and we at Easybox recognize that.
Easybox is part of the #digitaltransition, join us and let's transform your company together!