Rapid growth in e-commerce, sustainability goals, customer satisfaction, and cost and operational efficiency are the key factors driving innovations in the logistics industry. The logistics market value is expected to be USD 37.64 billion in 2025 and increase at a compound annual growth rate (CAGR) of 18.1% from 2025 to 2032. This report outlines the top 10 logistics trends impacting the market. In addition, explore 20 emerging startups leading technological innovations to make the logistics industry more efficient, customer-friendly, and sustainable.
What are the Top 10 Logistics Trends in 2025?
- Sustainable Logistics
- Cloud Logistics
- Third-Party Logistics (3PL)
- Warehouse Management
- Ecommerce and Omnichannel Logistics
- Blockchain Integration
- Last-Mile Delivery
- Real-Time Route Optimization
- Reverse Logistics
- Demand Forecasting
Methodology: How We Created the Logistics Trends Report
For our trend reports, we leverage our proprietary StartUs Insights Discovery Platform, covering 5M+ global startups, 20K technologies & trends, plus 150M+ patents, news articles, and market reports.
Creating a report involves approximately 40 hours of analysis. We evaluate our own startup data and complement these insights with external research, including industry reports, news articles, and market analyses. This process enables us to identify the most impactful and innovative trends in the logistics industry.
For each trend, we select two exemplary startups that meet the following criteria:
- Relevance: Their product, technology, or solution aligns with the trend.
- Founding Year: Established between 2020 and 2025.
- Company Size: A maximum of 200 employees.
- Location: Specific geographic considerations.
This approach ensures that our reports provide reliable, actionable insights into the logistics innovation ecosystem while highlighting startups driving technological advancements in the industry.
Innovation Map outlines the Top 10 Logistics Industry Trends & 20 Promising Startups
For this in-depth research on the Top Logistics Trends & Startups, we analyzed a sample of 16 000+ global startups & scaleups. The Logistics Innovation Map created from this data-driven research helps you improve strategic decision-making by giving you a comprehensive overview of the logistics industry trends & startups that impact your company.
Tree Map reveals the Impact of the Top 10 Trends in Logistics
The treemap highlights the impact of trends like sustainable logistics, 3PLs, blockchain, reverse logistics, and demand forecasting on the logistics industry. These trends represent the industry’s focus on sustainability, operational efficiency, and improving customer experience.
Global Startup Heat Map covers 16 000+ Logistics Startups & Scaleups
The Global Startup Heat Map showcases the distribution of 16 000+ exemplary startups and scaleups analyzed using the StartUs Insights Discovery Platform.
It highlights high startup activity in Western Europe and the United States, followed by India. From these, 20 promising startups are featured below, selected based on factors like founding year, location, and funding.
Want to Explore Logistics Innovations & Trends?
Top 10 Emerging Logistics Trends [2025 and Beyond]
1. Sustainable Logistics
Integrating sustainable technologies is essential as traditional logistics use significant resources and contribute to waste generation. According to the World Resources Institute, logistics systems account for almost 14% of the global greenhouse gas emissions. The Descartes Systems Group’s 2023 Home Delivery Sustainability Report revealed that over 60% of consumers prefer eco-friendly delivery methods.
The green logistics market is predicted to reach USD 50 billion in 2025, which is approximately 2% of the total logistics budget. The growth in demand for green logistics is a major indication of the faster adoption of sustainability technologies in logistics.
The sustainable logistics market size is predicted to reach USD 1972 billion by 2031, growing at a CAGR of 7.70% from 2024 to 2031.
Credit: InsightAce Analytic
Electric vehicles, hybrid vehicles, and alternative fuels are a few eco-friendly methods to enable sustainable transportation. Further, sustainable packaging, like biodegradable, reusable, and modular packages, is also becoming popular in green logistics.
Further, AI algorithms and machine learning analyze traffic and weather conditions to dynamically optimize delivery routes. For this, the industry uses telematics to transmit information about traffic conditions, road restrictions, and fuel efficiency to decide on an efficient route.
For example, logistics operators use IoT to collect data about energy consumption and drive optimization efforts. Renewable energy integration also makes the sector less dependent on fossil fuels, which additionally makes it more energy efficient. Electric and hybrid vehicles, warehouses with sensor-based lighting, and HVAC also ensure energy efficiency for the industry.
Urban Logic Tech builds a City Logistics Evaluation Platform
Spanish startup Urban Logic Tech builds a sustainable city logistics evaluation platform (SCLEP) and a last-mile digital platform. The platforms use AI and machine learning to optimize urban freight, reduce emissions, improve delivery efficiency, and contribute to cleaner cities.
The SCLEP is a SaaS solution that optimizes urban goods mobility strategies. It also evaluates sustainable performance by considering factors like distance traveled, manpower, energy consumption, and greenhouse gas emissions.
The Last Mile Digital Platform is an AI-powered solution that uses urban logistics digital twins as its core technology. It also includes an urban logistics operational management system that handles daily operations. The platform additionally comes with route optimization and transparent metric sharing in SaaS or backend SaaS format.
e4cars enables Sustainable Car Logistics
French startup e4cars offers a service platform for sustainable car logistics. The platform also executes quality control and tracks CO2 emissions. It is available as a mobile app and has an API orientation that makes it integrable with customers’ and suppliers’ systems.
OEMs, logistics service providers, and rental and leasing companies use the platform to ensure streamlined B2C vehicle logistics services. The platform improves the final customer experience, optimizes the car lifecycle, and handles operations like transport, vehicle preparation, delivery and collection of vehicles, and fleet management.
2. Cloud Logistics
The cloud logistics market is gaining momentum as it enables fast digitization, efficient management, transparent and cost-effective operations, and scalable deployment. The growth in the e-commerce industry and the requirement for cybersecurity for digital operations are also driving the growth of cloud logistics.
Currently, the cloud logistics market is valued at USD 38.84 billion, which is set to rise to USD 115.99 billion by 2034, growing at a CAGR of 13.12%.
Credit: Precedence Research
In 2024, Amazon invested USD 11 billion to accelerate the development of cloud and logistics in Germany. Global Market Insights states that in 2023, IBM and Oracle Corporation held over 10% market share in cloud logistics. Additionally, Oracle Corporation has developed a cloud logistics solution that improves inventory management, order management, lifecycle management, and more.
According to industry experts, 70% of logistics organizations are integrating digital technologies. This increases the demand for cloud integrations in their operations.
FleetRunnr develops Cloud-based Logistics Software
UAE-based startup FleetRunnr builds a cloud-based logistics software for simplifying logistics management. Small and medium businesses (SMBs) use this software to manage entire delivery operations. It ensures transparent first-mile delivery, manages internal warehouse transfers and dispatches, and simplifies last-mile delivery.
The software features forecasting models, which adjust inputs like future orders, geography zones, and timeframes. This also allows companies to strategize driver workflow, fuel consumption, distance traveled, and package distribution.
Courier and parcel services, distribution logistics, and trucking companies use the solution to improve customer service and simplify delivery processes.
Geliver designs Cloud-based Shipping Software
Turkish startup Geliver provides a marketplace for cargo alternatives. The marketplace uses AI to find the most suitable option for the user. It further uses a cloud-based shipping software that ensures flexible and efficient operation.
Additionally, it comes with a user-friendly interface and a single API, which allows integration into existing websites. Registering a single agreement with Geliver allows the user to work with multiple cargo operators and choose the most suitable ones.
3. Third-Party Logistics
One of the major reasons for growth in third-party logistics is the expansion of ecommerce. Other factors accelerating the adoption of 3PL include its adaptability to demand fluctuations, increased fulfillment speed, and budget optimization.
The 3PL revenue is predicted to reach USD 1.39 trillion in 2025. It is further set to grow by a CAGR of 10.4% from 2025 to 2029. Currently, there are 69 703 3PL businesses in the USA, which employ nearly 349 000 people.
The Asia-Pacific region dominated the 3PL market in 2023 with 42.44% share and is expected to be the fastest-growing region in this sector.
Credit: Research and Markets
The top 3PL service providers from around the world include Amazon, DHL Supply Chain, JB Hunt, UPS Supply Chain Solutions, and C.H. Robinson.
87% of the 3PL operators expect AI to bring significant changes to their businesses by implementing complex algorithms, automating tasks, and optimizing customer interactions. Similarly, 40% of 3PL businesses stated that they expect IoT to optimize their businesses, and 20% stated the same about blockchain in 2024.
Integrated Freight Systems streamlines Supply Chain Relationship Management
US-based company Integrated Freight Systems provides supply chain relationship management (SCRM) software. 3PL providers use the software for managing supply chain stakeholders and increasing customer retention.
It also provides visibility into the stakeholders’ activities. The software additionally offers full logistics quoting, sales cycle, and supply chain optimization, and email synchronization.
Consignly Cloud WMS offers a Cloud Warehouse Management System (WMS)
New Zealand-based startup Consignly Cloud WMS designs a platform, Consignly Network, that streamlines warehouse management for 3PLs. Using the platform, the 3PL operators track products and rate management, as well as generate declaration forms for outbound consignments of dangerous goods.
The platform also provides storage calculation analysis using the Consignly Storage Calculator. It also manages 4PL freight partners and provides customized warehouse locations for convenience. Consignly Network is integrable with transport management systems (TMS), billing systems, and client partner enterprise resource planning (ERP).
4. Warehouse Management
An increase in e-commerce, cold storage requirements, and 3PL demands is accelerating improvements in warehouse management systems. Technology advancements in cloud computing, AI, IoT, and robotics are further accelerating the adoption of WMS in the logistics industry.
Reflecting these trends, the warehouse management system market will reach USD 6.91 billion by 2029, growing at a CAGR of 15.3% from 2025 to 2029.
Logistics operators are using warehouse automation and robotics to address the increasing e-commerce and parcel volumes. This streamlines operations like picking, sorting, packing, and material handling and improves operational and resource efficiency.
The warehouse automation market has a projected growth of a CAGR of 15.9% from 2024 to 2034. Similarly, the warehouse robotics market is observing expansion with a CAGR of 15.6% from 2025 to 2032.
Credit: Precedence Research
According to Peerless Research Group, 36% of companies will increase their investment in material handling equipment in warehouses in 2025. The research also suggests 44% of the companies will match their investment from last year, and 12% will invest less than last year.
For example, Amazon uses robots to streamline operations like lifting, sorting, carrying, and packaging in its warehouses. Additionally, Walmart is using AI-powered inventory management to strategically place items across distribution and fulfillment centers. This ensures improved shopping experiences for their customers.
DataMingle AI provides AI-powered Warehousing Solutions
US-based DataMingle AI offers autonomous inventory counting, warehouse management, and e-commerce fulfillment automation.
The startup’s inventory counting solution, DataMingle CVC, combines AI and drones to measure, monitor, and track inventory content autonomously and eliminate human errors. Warehouse operators improve revenue and operational efficiency using the solution.
DataMingle ShipFlow is an automated order fulfillment solution. It automates all UPS and FedEx shipments and is suitable for e-commerce businesses. The solution manages label printing, shipment cancellation, and packaging optimization with automated scheduling.
The DataMingle WMS is a warehouse management system for tracking inventories, managing orders, shipping, custom reporting, and more. It has multiple customizable module applications and integrates with existing enterprise resource planning (ERP) systems.
Glimpse provides a Real-Time Asset and Warehouse Management System
US-based startup Glimpse builds a real-time asset and warehouse management system. Logistics service providers use the system to track, manage, and measure warehouse assets. It also manages inventory, warehouse, and billing procedures.
The system is available as a cloud-based app or a web application. A receiving assistant at the warehouse captures essential data about the product as soon as it enters the warehouse. Further, instant email notifications keep the customers updated about the shipment status, and an automated billing engine generates monthly storage reports.
5. E-commerce and Omnichannel Logistics
E-commerce shopping is gaining traction as it offers advantages like the convenience of shopping from anywhere, wider product selection, cost savings, and global reach for retailers.
To meet this increase in e-commerce preference, logistics industries are adopting omnichannel deliveries, which reduce delivery time, facilitate multiple ways of deliveries, and provide flexible pickup and return processes.
For example, IKEA has developed a click and collect service where customers place the order online and pick it up at the store.
Moreover, around 73% of retail customers are omnichannel shoppers. They also deliver 30% higher lifetime returns than single-channel shoppers.
A report by UPS reveals that the e-commerce shipping volume has increased by 30% since 2022, which is also a leading reason for the increase in omnichannel deliveries. Another report by eTail states that Walmart has invested USD 1.2 billion in its e-commerce program to optimize the experience for the omnichannel customers.
The omnichannel retailing market size is expected to reach USD 19.51 billion in 2030, growing at a CAGR of 14% from 2025 to 2030.
AWRobotics enables Automated E-commerce Logistics
Italian startup AWRobotics provides robots for e-commerce logistics. The automated robots ensure fast, accurate, and error-free order management and provide full control along with real-time updates.
The automated robots additionally use built-in algorithms to optimize warehouse storage. These algorithms also ensure the timely delivery of the courier using knowledge about the environment.
The robots process every order with precision, which ensures fewer returns and improved customer experience. It also provides access to real-time data about inventory and shipping status.
Ops Engine provides Omnichannel 3PL Fulfillment & Distribution Solutions
US-based startup Ops Engine offers 3PL fulfillment and omnichannel distribution solutions for direct-to-customer (DTC) brands. The startup carries out e-commerce fulfillment using a cloud-based system. It ensures lower shipping costs, omnichannel support, centralized inventory, customizable shipping options, and efficient order picking and packing.
For omnichannel fulfillment, Ops Engine provides smart shipping routes, automated marketplace compliance, demand forecasting across different channels, easy returns, real-time updates, and centralized inventory management. The solutions are suitable for industries like healthcare, baby products, pharmaceuticals, beauty and cosmetics, and supplements.
6. Blockchain Integration
Logistics companies leverage blockchain to create a transparent and immutable record of supply chain activities. This makes every activity in the supply chain secure and verifiable. As a result, companies are able to improve data management, prevent counterfeiting, and more.
Industries like pharmaceuticals, food and beverage (F&B), and automotive, where the quality and authenticity of materials are crucial, use blockchain in their supply chain to ensure end-to-end transparency.
For example, IBM Food Trust offers a software-as-a-service (SaaS) platform powered by the IBM blockchain platform. It allows collaboration among the stakeholders in the food supply chain and improves food traceability and safety. To ensure the traceability and authenticity of the critical raw materials in international supply chains, BMW introduced the PartChain project, which secures industry-wide data sharing.
The global blockchain-powered supply chain market is supposed to grow at a CAGR of 88.8% from 2024 to 2030. The Asia-Pacific supply chain blockchain market is predicted to witness maximum growth from 2023 to 2030.
Credit: Grand View Research
Proof Of Origin offers a Track-and-Trace System
Georgian startup Proof Of Origin offers a blockchain-backed track and trace system for winery logistics. The traceability system improves transparency by providing accessibility to the supply chain certification data of the Georgian wine.
The startup utilizes Scantrust for QR code generation and analytics. This code delivers information about the quality and authenticity of the wine to the customers, which reduces counterfeiting.
The blockchain system is cost-effective, flexible, and scalable, and offers access to supply chain certification data. It further reduces cost by providing a shared platform for precise governance and brand storytelling.
Flydetech designs a Blockchain-based Security Software for Supply Chain
US-based startup Flydetech develops an AI-powered blockchain technology to upgrade IoT security in logistics and supply chains. Using the technology, the startup builds Flyde’s IoT Armor and Flyde’s IoT Network.
Flyde’s IoT Armor integrates AI and blockchain technology to create an encryption algorithm, which improves asset data security. Flyde’s IoT Network provides connectivity and positioning information and collects data about the light, humidity, and temperature of products in transit.
The trucking industry and warehouse managers use the products to create a tamper-proof record of transactions that reduces the risk of data breaches, theft, and fraud.
7. Last-Mile delivery
According to the World Economic Forum, the demand for urban last-mile delivery will increase by 78% by 2030. This leads to an increase in traffic congestion, operational costs, and greenhouse gas emissions. Adopting innovative last-mile delivery options like electric vehicles and hybrid vehicles, along with route optimization technologies and drones, addresses these issues.
Amazon started using drones for package deliveries, while companies like Wing, Zipline, Flytrex, and UPS Flight Forward partnered with major retailers like Walmart and Amazon to provide drone deliveries.
In case of a failed delivery, the logistics and the retailers bear the last mile costs like fuel, fleet operation, driver salary along with returned product management. In such cases, automatic dispatch technology and route optimization assist in cost savings.
Fuel costs, cost of fleet operations, and drivers’ salaries are some of the expenses in the last mile. Failed deliveries and management of returned products also add to cost pressures.
The last-mile delivery market size is expected to grow by a CAGR of 16.20% from 2024 to 2032. On the other hand, the autonomous last-mile delivery market is expected to reach USD 144.2 billion by 2033, growing at a CAGR of 23.1% from 2024 to 2033.
Credit: Market Research Future
The logistics industry additionally uses AI for route optimization and autonomous handling of vehicles in last-mile delivery. They also use IoT to track the conditions of the products being delivered.
Nash provides Delivery Infrastructure for Last Mile Logistic
US-based Nash builds a platform Nash AI, for managing delivery infrastructure for last-mile logistics. The platform manages, strategizes, and optimizes last-mile delivery operations. It integrates AI logistics agents and contextual intelligence to manage the delivery workflow.
The platform optimizes workflow by automating and streamlining dispatch for local delivery and shipping. Further, it manages fleet operations, check-out processes, internal operations, customer engagement, and performance analytics.
Logistics companies use Nash AI for same-day delivery, on-demand delivery, next-day delivery, and big-bulky delivery. It is ideal for retail, grocery, restaurant, and pharmacy delivery.
Kosmo develops Last Mile Optimization Platform
Singapore-based startup Kosmo builds a platform to optimize, manage, and track last-mile deliveries in real-time. The platform provides route information and auto-dispatch features to the drivers. It also sends proof of delivery to the customers.
Users import orders into the platform from Excel files, ecommerce platforms, or using the platform’s API. The platform then uses AI to optimize routes for the deliveries. Then, a driver gets assigned either automatically or by the user’s choice.
The platform comes with different interfaces for the drivers and customers. Various sectors like food and catering, grocery, flowers, pharmacy, retail, and e-commerce use the platform to improve their last-mile operations.
8. Real-Time Route Optimization
Environmental issues caused by greenhouse gas emissions and delivery inefficiencies caused by inadequate route planning are pushing the logistics industry to leverage route planning and optimization solutions. Further, faulty route planning and rising operational costs are making logistics companies rely on real-time route optimization
The sector is further addressing safety issues and delivery inefficiencies with driverless trucks. This allows businesses to optimize resource allocation and labor costs.
The trucks learn about the routes and navigate around obstacles using radars, sensors, and camera systems. For instance, Volvo is supporting the DHL supply chain with autonomous trucks.
In addition, logistics companies are using methods like near neighbour construction (NNC) and improved near neighbour construction (INNC) to reduce carbon emissions through route optimization.
Route optimization also decreases instances of accidents in the logistics route. For example, Houston-based startup 3 Men Movers recorded a 4.5% decrease in accidents within the first 3 months of using AI-powered route optimization. Companies like FarEye and Kosmo also adopted route optimization software.
The route optimization software market size is growing at a CAGR of 7.26% from 2024 to 2032. North America accounted for 33% of the route optimization software market share in 2024.
Credit: Market Research Future
Flio.ai provides Intelligent Route Optimization Solutions
Turkish startup Flio.ai offers an AI-powered route optimization platform to logistics companies, which makes the delivery operation time and cost-efficient.
The platform uses an advanced vehicle routing problem (VRP) algorithm to support multiple vehicle routings. It further combines heuristic algorithms and mathematical modeling to enable a hybrid solution, which provides optimized route solutions.
The interactive map interface allows real-time route visualization and drag-and-drop functionality. The platform also provides electric vehicle support with its routing algorithms showing charging stations, battery constraints, and energy consumption.
Fleet managers use the platform to track driver performance, monitor the fleet in real-time, manage delivery, and improve performance analytics. Similarly, the route planners use the platform for multi-vehicle management and manage delivery operations.
Gebeta Maps develops Location Technology for Logistics Providers
Ethiopian startup Gebeta Maps develops an all-in-one location solution for geocoding, routing, and location intelligence for the logistics industry. The solution comes with an API integration and is usable as a mobile app or a website.
With the Gebeta Maps Geocoding API, users gain local data like restaurants, hotels, parks, and more. Additionally, the route optimization API identifies the most efficient routes considering factors like minimum travel time, distance, cost, and environmental impact. It is suitable for road trip planning, fleet management, and commute optimization.
Further, the direction API provides accurate, real-time navigation from one place to another, considering factors like travel time, distance, traffic conditions, etc. It is fit for finding the fastest route, accessing traffic data, and navigating. Finally, the matrix API provides travel times and distances between multiple origins and destinations.
9. Reverse Logistics
In 2022, returned inventory in the USA amounted to 9.5 billion pounds of landfill waste and 24 million metric tons of carbon dioxide emissions. This shows the necessity for efficient reverse logistics infrastructure across industries.
Efficient reverse logistics also improve the customer experience by streamlining return processes. A survey by Newsroom says more than 80% of first-time shoppers shop from retailers with a return policy, and 55% of consumers abandon a shopping cart if the return policy is not user-friendly.
Reverse logistics additionally promotes the circular economy by allowing companies to extract useful material from the returned package for reuse, recycling, or upcycling.
For example, ModusLink created a reverse logistics strategy for its client that improved the demand forecast accuracy, reduced spare parts inventory levels, and enabled cost savings. The company used forecasting models, advanced sourcing, and material planning to create the strategy, which additionally improved the same-day shipment rate.
The reverse logistics market will reach USD 4.04 trillion in 2034, growing at a CAGR of 12.72% from 2023 to 2034.
Credit: Precedence Research
BatteReverse optimizes Li-ion Battery Reverse Logistics
Spanish startup BatteReverse designs a reverse logistics process for the Li-ion battery, which optimizes the battery value chain. The startup uses acoustic testing and machine learning for battery assessment. It improves the safety of the battery transportation by integrating a monitoring system into the packaging. This also ensures minimal thermal runway risks.
Further, human-robot collaboration performs automated dismantling of the battery. Lastly, a system with standardised labelling and battery passport functionalities simplifies battery identification and its data sharing among the stakeholders.
With its process, BatterReverse reduces the time required for the first assessment, the second assessment, and dismantling, along with instances of battery-related accidents.
Cirquel facilitates Fashion Reverse Logistics
German startup Cirquel builds a fashion reverse logistics app using AI and SaaS technology. Customers use the app to record the initial quality of the garment and return it. It is then sent to the nearest Cirquel warehouse.
The startup uses an AI-powered computer vision technology for evaluating the condition and grade of the returned item. The startup analyzes the optimal way to repurpose the item, which will maximize its value and minimize its turnaround time and carbon footprint.
Restockable items are put up for customers. Items that are not suitable for restocking are repurposed via resale, recycling, or rental.
10. Demand Forecasting
Accurate demand forecasts assist logistics companies in maintaining optimal resource allocation, keeping up with seasonal fluctuations, reducing downtime, and more.
Predictive analytics, AI, and machine learning enable efficient forecasting by analyzing various situations like peak periods, market trends, and delivery disruptions. The forecasting data also suggests optimal action points like inventory level adjustments, transportation planning, order fulfillment optimization, and more.
McKinsey reported that using AI-based forecasting reduces the chances of errors in supply chain management by 20%-50%.
Logistics companies like FedEx use a range of forecasting models and demand optimizers to ensure efficient logistics operations, and DHL uses AI for demand forecasting.
The global demand planning solutions market is set to reach USD 8.681 billion by 2030, growing at a CAGR of 10.31% between 2023 and 2030. This indicates increased industry adoption, including logistics.
Credit: Zion Market Research
paretos offers a Decision Intelligence Platform
German startup paretos develops a cloud-based decision intelligence platform, paretos Decision Meta Model. Logistics operators use the platform for demand forecasting, inventory optimization, deployment planning, shift planning, and resource planning.
The platform uses forecasting and recommendation AI to create transformer models, statistical models, and machine learning models. These models learn from different scenarios and provide precise forecasts. They also form the basis of the digital twin feature of the platform.
It additionally comes with easy-to-use standard templates, where users input statistics about their business and gain demand predictions. The paretos Decision Meta Model uses a multi-objective optimization (MMO) engine for presenting the most optimal solution to its users. The generated forecasts are integrable into any existing business process.
intelmatix facilitates Custom AI-based Decision Intelligence for Inventory Management
Saudi Arabian startup intelmatrix develops a decision intelligence platform, EDIX. The platform reduces inventory costs for retail chains, improves resource utilization, and optimizes response time for nationwide logistics.
The platform uses AI to identify critical performance levels, analyze the impact of various scenarios, and suggest an optimal outcome. The EDIX logistics suite optimizes fleet management and logistics operations and reduces downtime. The suite features demand forecasting intelligence, which predicts the demand of the stockkeeping unit (SKU), stores, and regions to improve planning and decision-making.
The dispatchment intelligence improves fleet allocation and dispatch. Additionally, the workforce scheduling intelligence optimizes staff allocation according to customer demand, which reduces payroll costs. Lastly, the pricing intelligence analyzes the demand responses of different price points and ensures sustainable revenue.
Discover all Logistics Trends, Technologies & Startups
The logistics industry is using technologies like AI, IoT, blockchain, and robotics process automation to improve route optimization, product quality analysis, and fuel efficiency. These technologies also ensure sustainability, enable predictive maintenance, and improve customer satisfaction.
Trends like reverse logistics are further promoting the circular economy, and faster deliveries are improving customer experience. Logistics companies are additionally utilizing digital twins to optimize design procedures and predictive analytics to enhance decision-making and avoid operational disruptions.
The Logistics Trends & Startups outlined in this report only scratch the surface of trends that we identified during our data-driven innovation & startup scouting process. Identifying new opportunities & emerging technologies to implement into your business goes a long way in gaining a competitive advantage.
