物料管理系统与区块链的关系,物料管理系统与区块链的区别

物料管理系统与区块链是当今物流行业中两个非常重要的技术，它们之间有着千丝万缕的联系，下面就来探讨一下它们的关系与区别。

物料管理系统：物料管理系统是一种用于管理物料的软件系统，它可以帮助企业实现物料的有效管理，从而提高企业的运营效率。物料管理系统可以有效控制物料的采购、库存、销售、生产等流程，从而提高企业的运营效率。物料管理系统还可以帮助企业实现物料的跟踪管理，从而更好地控制物料的流动，减少物料的浪费。

区块链：区块链是一种分布式账本技术，它可以创建一个可验证、可信任、可共享的数据库，可以用来记录各种交易的信息，从而保证交易的安全性和可追溯性。区块链的特点是去中心化，它可以让企业之间的信息共享，从而提高企业的运营效率，提升企业的竞争力。

物流追溯：物流追溯是指企业在物料流转过程中，通过追踪物料的流动状态，及时、准确地获取物料的流转信息，从而实现对物料的可追溯性管理。物流追溯可以有效控制物料的流动，减少物料的浪费，为企业提供可靠的物流信息，从而提高企业的运营效率。物料管理系统和区块链技术可以有效支持物流追溯，物料管理系统可以有效控制物料的采购、库存、销售、生产等流程，而区块链技术可以提供可验证、可信任的数据库，从而实现对物料的可追溯性管理。

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1. What does smart logistics mean?

With the innovation and improvement of information technology and intelligent manufacturing, the development of the smart logistics industry will go through a basic period, an introduction period, a growth period and a mature period. four stages. The basic phase is based on the promotion of RFID technology, GPS technology and other technologies, aiming to establish a cargo traceability system based on RFID. The introduction phase will see further breakthroughs in wireless sensing technology, the growth phase will realize the full operation of the Internet of Things, and the mature phase A completely intelligent logistics operation system will be formed. At present, the development of my country's smart logistics industry is in the transitional stage from the basic stage to the introduction stage, and there is considerable room for development in the future.

——For more logistics industry related plans, projects and data analysis, please Refer to Qianzhan Logistics Industry Research Institute.

2. Depth: Top Ten Highlights of “Global Logistics and Supply Chain Development Trends” in 2020

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Startus Insights Innovation Analysts conducted a detailed analysis of 901 solutions and proposed the top ten logistics and supply chain industry trends and innovations in 2020 and beyond.

Source/Material Handling Business Review

Author/Startus Insights

Trends in the logistics industry depend on significant changes resulting from the implementation of technology-driven innovations in business processes. Next-generation logistics management solutions are moving towards making global supply chains more customer-centric and sustainable. Automation of logistics processes greatly improves the productivity and efficiency of work processes. Increased transparency and traceability in supply chains are critical to maintaining flexible and dynamic relationships between various stakeholders.

The graphic below illustrates the top ten logistics industry trends that will impact companies in 2020 and beyond. From setting up automated warehouses to tracking express delivery and parcels, the Internet of Things (IoT) plays an important role in the industry.

Artificial intelligence (AI)-enabled platforms and solutions are constantly learning some of the tedious logistics processes to begin to automate traditionally manual tasks. Relaxing regulations on drones and their use could not only boost last-mile delivery but also boost robotic adoption across the industry.

Innovation Map: Emerging Logistics Solutions

The logistics industry is accelerating the adoption of technology in innovative ways to solve existing and novel challenges and propose newExample.

Logistics and supply chain sectors are facing growing challenges as customer expectations continue to rise and as interest shifts towards product variety and personalized service pressure. The rapid development of emerging technologies such as the Internet of Things, advanced mobile robots, and AI- and blockchain-enabled solutions has led to companies facing dilemmas when choosing the most appropriate technology to invest in. As technology continues to evolve, it is important for emerging companies to be proactive and identify potentially disruptive changes as early as possible.

01

Internet of Things

The Internet of Things is the connection of physical devices that monitor and transmit data over the Internet without human intervention. IoT in logistics can increase visibility into all aspects of the supply chain and make inventory management more efficient. Integrating IoT technology into the logistics and supply chain industry can improve efficiency, transparency, real-time visibility of goods, status monitoring and fleet management.

Fleetroot – Fleet Management

United Arab Emirates-based startup Fleetroot is The company provides an IoT platform to control and manage its fleet. Fleetroot provides fuel management solutions to fleet managers by providing fuel consumption and waste reports. The platform helps monitor vehicle performance and sends critical alerts to the system using sensors and devices embedded in the vehicle. The data is then analyzed together with historical data to predict and plan fleet maintenance. Fleetroot also provides route optimization and delivery solutions for freight transportation.

Ambrosus – Real-time supply chain visibility

Belizean startup Ambrosus for food and the pharmaceutical supply chain industry to build an end-to-end IoT network based on blockchain. The network provides tools for analyzing data transmitted between sensors, distributed ledgers and databases to optimize supply chains. The platform enables accurate tracking of goods throughout the supply chain, ensuring product quality and authenticity by leveraging blockchain technology.

02

Artificial Intelligence

AI algorithms combined with machine learning can help companies proactively respond to demand fluctuations. For example, AI-based predictive solutions allow managers toPlan supply chain processes and find ways to reduce operating costs. Self-driving AI and smart road technologies are moving in a positive direction towards the automation of delivery services. In addition, AI-based cognitive automation technology brings intelligence to automate management tasks and accelerate information-intensive operations.

Insite – Demand Forecasting

New Zealand-based startup Insite provides a AI-based software solutions for price forecasting, demand forecasting, and process and process optimization, primarily catering to the needs of the consumer packaged goods (CPG) and retail industries. The software provides modules for risk assessment and demand forecasting to automate process decisions and control operating conditions. Machine learning augmented platforms provide tools to collect and integrate process data in real time. As a result, managers are empowered to provide actionable insights into product replenishment.

Adiona – Process Optimization

Australian startup Adiona develops AI-based optimization Software as a Service (OSaaS), allowing companies to improve their logistics processes and reduce costs. Adiona's FlexpOps API optimizes static and dynamic delivery routes by solving vehicle routing and related challenges.

In addition, the software can support fleet decisions over time by using machine learning technology to predict conditions such as demand, weather and traffic conditions. The solution also optimizes labor requirements and automates redeployment.

03

Robotics

Integrating robotics into logistics can increase the speed and accuracy of supply chain processes and reduce human errors. Robots can increase uptime and increase productivity compared to humans. However, robots do not take on humans' jobs but work alongside them to increase efficiency. Physical robots such as collaborative robots ("co-bots") and autonomous mobile robots (AMRs) are used to pick and transport goods in warehouses and storage facilities. Additionally, software robots perform repetitive, mechanized tasks, saving workers time.

Canonical Robots – Collaborative Robots

Collaborative robots work with humans to provide assistance and Improve logistics operation efficiency. These robots can pick up in a short time,Place and pack goods while eliminating potential human error. Spanish startup Canonical Robots creates a variety of collaborative robots to facilitate supply chain processes. These collaborative robots feature 6-axis joints that facilitate a variety of flexibility and movements that mimic the human arm. In addition, these robots can help workers with pick and place, palletizing and packaging operations.

Actimai – Robotic Process Automation (RPA)

RPA provides low-level repeatability Automation of tasks eliminates human error and reduces overhead. For example, RPA software performs operations such as invoice processing, automatically storing information in an audit trail, and automating the entry of purchase orders. Philippino startup Actimai designs, deploys, manages and optimizes RPA solutions by leveraging AI and big data. The startup's Actimai platform optimizes software robotic processes to provide insights and analytics to improve processes.

04

Last mile delivery

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The last step in the supply chain, from the warehouse or distribution center to the customer, is often inefficient and accounts for a major portion of the total cost of transporting goods. Last mile delivery is the most important part of logistics as it is directly related to customer satisfaction. However, last-mile delivery faces various issues, including delays due to traffic congestion, customer nuances, government regulations, and delivery density.

Manna – Drone

Drone delivery solves the last mile traffic congestion problem. Drones have the ability to reach remote areas, reducing delivery times and costs. Irish startup Manna offers drone delivery services to restaurant chains with its fleet of aviation-grade delivery drones. Manna's drone can fly at an altitude of 80 meters and at a speed of 80km/h.

Pakpobo – Smart Lockers

Smart lockers give customers flexibility Receive packages efficiently and reduce the last-mile challenge of returns due to customer absence. Italian startup Pakpobox offers smart lockers suitable for both indoor and outdoor conditions. Pakpobox comes with multiple smart locker configurations that can be customized for every situation. These smart lockers also help by protecting them from the elementsAffected by air conditions, providing package security. Additionally, Pakpobox offers temperature-controlled smart lockers for storing perishable goods.

05

Warehouse automation

Warehouse automation increases efficiency, speed and productivity by reducing manual intervention. Picking technologies such as automated guided vehicles (AGVs), robotic picking, automated storage and retrieval (ASRS), and put-to-wall picking reduce error rates and increase warehouse productivity. Warehouses need to incorporate efficient automation technology to control their operational logistics costs.

Addverb Technologies – Automated Guided Vehicles

AGV integration in warehouses helps For automation of cargo handling. AGV replaces labor to meet the challenge of large-scale processing of large quantities of goods. Indian startup Addverb Technologies works on Dynamo, an AGV used to transport various goods in warehouses. Addverb offers custom Dynamo AGVs with different navigation systems, including laser, inertial, wire and magnetic stripe. Moreover, Dynamo requires minimal or no human intervention when performing picking operations in the warehouse.

Exotec – Automated Storage and Retrieval System

ASRS assists in the management of automated warehouses Product and material storage and improved floor space utilization without the need for manual operations, reducing overall operating costs and improving safety. French startup Exotec built the autonomous robot Skypod to optimize e-commerce warehouses. The Skypod system optimizes storage space by adopting a vertical storage approach, increasing height in the warehouse by up to 10 meters.

06

Blockchain

Blockchain provides security through an irrefutable decentralized ledger system and solves pressing traceability and related challenges. This brings transaction transparency to the entire logistics process. In addition, smart contracts based on blockchain technology can speed up approvals and approvals by reducing the processing time of checkpoints.

Steamchain – Smart Contract

US-based startup Steamchain offers a blockchain platform that streamlines the payment process using its World Trade Logistics (WTL) smart contract system. WTL smart contracts enable B2B payments and prevent fraud by providing an immutable record of all transactions. In addition to eliminating currency conversion costs, WTL smart contracts help minimize currency fluctuation costs.

ShipChain – Shipment Tracking

US-based startup ShipChain has built a Logistics platform that leverages blockchain technology to support end-to-end shipping processes. The platform allows all stakeholders to track shipment location at every step in its circulation. The platform also uses an encrypted public ledger to update information about estimated delivery times. Once the delivery is complete, photocopies of the documents are uploaded into the platform, increasing visibility and transparency of goods in transit.

07

Big data and data analysis

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Data analytics provide actionable insights for improving warehouse productivity, performance management and optimal utilization of logistics resources. Data gained from monitoring location and weather, as well as fleet schedules, helps optimize route and delivery planning. Market data analysis supports further optimization of supplier prices, inventory levels and the generation of risk management reports. Additionally, advanced analytics provide insights that help identify anomalies and provide predictive maintenance solutions.

Nautilus – Performance Management

The American Nautilus Labs company provides AI solutions to Helping shipping companies reduce fuel consumption and improve operational efficiency. Nautilus' software analyzes historical sailing data and predicts optimal speed and fuel consumption. The cloud-based platform also generates vessel performance data, which can later help optimize fuel costs.

FACTIC – Prescriptive Analytics

US-based startup FACTIC offers a SaaS Platform that provides predictive analytics solutions to the food and beverage industry. FACTIC utilizes data mining and AI technologies to analyze data from internal and external sources to predict future sales. The platform predicts demand deviations and makes data-driven decisions to automate procurement. The platform also provides tools to optimize inventory by employing automated replenishment.

08

Cloud Computing

Cloud-based SaaS solutions for logistics companies allow for pay-as-you-go models that require minimal capital investment. This minimizes the risk and cost of maintaining IT infrastructure. Cloud-based logistics solutions also address communication barriers and allow companies to collaborate and share data in a secure manner. Additionally, cloud integration allows the collection of data from management systems to analyze the entire logistics process. Finally, logistics integrated with the cloud provides universal accessibility and is not limited to any physical space.

Linker – Cloud Platform

Polish startup Linker on B2B cloud implementation platform Work, the platform provides logistics services to e-commerce companies and third-party logistics (3PL) players. The platform provides tools to enhance product labeling and delivery services while digitizing shipping. The linker provides tools for implementation in warehouses and delivery facilities. The platform solution also features a pay-as-you-go model.

Alpega – Cloud TMS

Belgian startup Alpega creates cloud-based SaaS Inet transportation management system to meet end-to-end transportation needs. This software solution enables real-time communication between manufacturers and an extensive network of logistics providers.

The Inet Electronic TMS automates logistics processes and integrates transportation needs into a single system. The software solution also provides tracking of shipments through a mobile app. The cloud platform allows Alpega to release upgraded software to customers on a quarterly basis, whereas local software after an annual update cycle does not have this convenience.

09

Self-driving cars

By eliminating human error while driving, self-driving cars can improve vehicle safety and safely deliver goods. They are designed to work around the clock and therefore increase the efficiency of first and last mile delivery. In addition, driverless cars improve fuel efficiency, reduce traffic congestion by using loading and unloading planning technology for long-distance routes, and optimize driving routes by leveraging AI-enhanced technology.

Spring – Self-driving fleet

German startup Spring offers Spring deliver goods. Spring's self-driving cars feature modular trailers that can be used in a variety of applications. The modules can be customized according to their applications such as mobile lockers, food and goods delivery.

Mars Auto – Self-driving car software

South Korean startup Mars Auto developed Self-driving car software to provide driverless transportation. AI-based software provides tools for mapping the environment, controlling and guiding the vehicle to the correct cargo bay. The software helps trucking companies deliver cargo in an efficient, reliable and safe manner without the need for human intervention.

10

Flexible logistics

Flexible logistics enables companies to handle supply chain operations more efficiently during periods of demand fluctuations. It helps scale up or down supply chain operations as needed, based on market demand. Resilient logistics thus solves the challenges faced by supply chain companies, including under-utilization of vessels, warehousing constraints and excess inventory.

Shorages – On-demand warehousing

Shorages, a startup based in the United Arab Emirates is a B2B on-demand warehousing marketplace serving small and medium-sized enterprises (SMEs). Shores helps companies source short-term warehousing needs from an extensive network. On the one hand, the platform allows owners to rent out unused space in warehouses to meet short-term needs. On the other hand, they offer customers pay-as-you-go and on-demand storage and delivery services.

GlassWing – On-demand delivery van

Indian startup GlassWing offers various A commercial vehicle for on-demand freight. The GlassWing platform forms a logistics service network that connects cargo owners with transportation. The startup also offers solutions like real-time tracking, route optimization, customized reports on freight safety, real-time alerts, etc. and helps reduce freight costs by leveraging AI-enabled technology.

What does this mean for logistics companies?

This study of 10 trends in the logistics industry provides an overview of areas of innovation, and this is the surface of what we found in our analysis. Logistics as a service, cloud logistics, digital identifiers and additive manufacturing are all areas that are bound to have a major impact on logistics companies in one way or another. Identifying new opportunities and emerging technologies early on that can be implemented in your business goes a long way to gaining a competitive advantage and becoming an industry leader.

Source/Material Handling Business Review

Author/Startus Insights