nuVizz Recognized by Gartner® in 2023
Market Guide for Vehicle Routing & Scheduling
nuVizz Recognized by Gartner® in 2022
Market Guide for Last Mile Delivery Technology
nuVizz Recognized by Gartner® in 2020
Market Guide for Real-Time Transportation Visibility Platform for the Second Time
nuVizz, a leading delivery and transportation platform in last mile delivery technology, has been recognized in the 2023 Gartner® Market Guide for Vehicle Routing and Scheduling (VRS) solution space. It does so by supporting 27 of the 33 key capabilities identified by Gartner analysts.
Gartner defines a VRS solution as “Specialized transportation applications aimed at organizations that directly (e.g., private/dedicated fleet) or indirectly (e.g., contract fleet, crowdsourced fleets) manage shipping assets and resources. These tools are used to develop route plans that meet the delivery objectives at minimal cost and mileage based on the company’s parameters (such as from orders), rules, and constraints."
Vehicle Routing and Scheduling Platform from nuVizz is powered by cutting-edge AI (Artificial Intelligence) and ML (Machine Learning) algorithms that play a pivotal role by automating and optimizing the planning and execution of operations. nuVizz platform is designed to achieve optimal asset and resource utilization while considering the specific business goals and objectives of customers, including rules, time constraints, and various other factors.
Further, the report notes that “VRS vendors continue to invest and are now applying AI/ML technologies to further optimize the routing algorithm. Vendors are also optimizing other aspects of the transportation operation, such as driver and fleet utilization and address validation. Routing algorithms can process new data inputs to provide more accurate, optimal routing, resulting in near-real-time operation control and visibility.”
Here's an overview of nuVizz SaaS solution and the role it can play in your logistics challenges:
- Efficient Routing and Scheduling:
- Route Optimization: AI and ML algorithms analyze a multitude of variables like delivery locations, traffic conditions, vehicle capacity, and time constraints to create the most efficient delivery routes. This minimizes transportation costs and ensures timely deliveries.
- Dynamic Adaptation: nuVizz platform continuously monitors real-time data and can adapt routes on the fly. If there are unexpected delays or changes in order, it can reroute vehicles to maintain efficiency.
- Asset and Resource Optimization:
- Vehicle Allocation: Our Algorithms ensure that the right vehicles are assigned to each route, taking into account factors like vehicle capacity, fuel efficiency, and delivery schedules.
- Driver Assignments: ML algorithms match drivers to routes based on their availability, experience, and vehicle compatibility, optimizing driver utilization and job satisfaction.
- Customer-Centric Operations:
- Time Constraints: Customer-specific time constraints and preferences such as delivery windows etc are considered to ensure that deliveries align with customer requirements.
- Rule Adherence: Business rules and attributes of the delivery order are followed, whether it's delivery prioritization, delivery restrictions (e.g., usage of particular capacity of vehicles or goods), or customer-specific rules of different delivery schedules, guaranteeing that operations are in compliance with these rules.
- Data-Driven Decision Making:
- Predictive Analytics: AI and ML models are used to make informed decisions, allocate resources efficiently, and avoid potential bottlenecks.
- Performance Monitoring: Provide real-time performance metrics, helping logistics managers make data-driven decisions to improve operations continually.
- Enhanced Customer Service:
- Real-time Tracking: Customers can track their shipments in real-time, which enhances transparency and provides them with accurate delivery time estimates including cascading effects.
- Exception Handling: When unexpected issues arise, exceptions can be handled in real time and communication is sent in real time to all relevant stakeholders.
- Sustainability and Cost Reduction:
- Reduced Emissions: By optimizing routes and resource allocation, nuVizz platform contributes to reducing fuel consumption and emissions, supporting sustainability goals.
- Lower Operational Costs: More efficient logistics operations result in reduced operational costs, which can translate into cost savings for businesses.
In summary, Vehicle Routing and Scheduling Platform from nuVizz with AI and ML capabilities is pivotal in logistics as it automates and optimizes the transportation part of supply chain process. nuVizz helps businesses achieve their goals of cost reduction, resource optimization, and customer satisfaction while ensuring adherence to rules, time constraints, and other specific requirements while improving efficiency, sustainability, and overall competitiveness.
nuVizz has been recognized in a 2022 Gartner® Market Guide for Last-Mile Delivery Technology Solutions, that outlines 21 key definitions in the Last-Mile Delivery Technology (LMDT) solution space. nuVizz’s AI and ML based Delivery Management and Orchestration platform supports 19 out of 21 capabilities identified.
Gartner® defines an LMDT solution as a “specialized, customer centric transportation management solution that focuses on managing the delivery process by which a consumer and the products they order come together. These solutions provide capabilities for routing deliveries to consumer homes, with some solutions extending the delivery service capabilities offered to support options like store, curbside and locker box pickup as well as return options.”
In the increasingly intricate landscape of last-mile delivery operations, technology has emerged as a game-changer. nuVizz stands at the forefront of this transformative journey, providing businesses with an innovative platform designed from the ground up that provides comprehensive support for last-mile operations, from order capture to efficient route planning, seamless delivery execution, real-time tracking, customer communication & feedback and handling the returns flow (reverse logistics) simplifying the process for both you and your customers.
Further, the Gartner® report notes that “the global last-mile delivery market size was valued at $40.5 billion in 2021 and is anticipated to generate $123.7 billion by 2030. The market is projected to grow at a compound annual growth rate (CAGR) of 13.21% during the forecast period (2022 to 2030), with the Asia/Pacific region the leader in market share, accounting for 64% of the total e-commerce spending in 2021.”
In today's fast-paced world of e-commerce and consumer expectations, the final leg of the supply chain - last mile delivery - has become a critical battleground for businesses. It's here that nuVizz are making a significant impact by revolutionizing how last mile delivery orchestration is managed.
- Advanced Route Optimization: nuVizz employs cutting-edge route optimization algorithms, ensuring that delivery routes are not only efficient but also adaptable to real-time changes. By factoring in variables such as vehicle capacity constraints, routing patterns, delivery frequency and delivery time windows, we maximize delivery speed while minimizing operational costs.
- Real-Time Visibility: One of the cornerstones of last mile delivery orchestration is real-time visibility. nuVizz provides shippers, drivers, and end-customers with access to accurate, up-to-the-minute information on delivery status. This transparency not only enhances customer trust but also allows for quick problem-solving and efficient rerouting in case of unexpected issues.
- Integration and Connectivity: nuVizz's platform seamlessly integrates with various supply chain and order management systems, ensuring that data flows smoothly throughout the entire delivery process. This enables businesses to maintain control over their operations, from order placement to final delivery.
- Customer-Centric Solutions: Recognizing the growing significance of last mile delivery as a point of differentiation, nuVizz focuses on improving the end-customer experience. We offer options for flexible delivery windows, real-time tracking, and personalized communication, all of which enhance customer satisfaction and loyalty.
- Analytics and Reporting: By collecting and analyzing data throughout the last mile delivery process, nuVizz empowers businesses to make informed decisions. Companies can identify bottlenecks, routing effectiveness, driver performance, and other key metrics, enabling them to continually refine their delivery processes.
- Sustainability Initiatives: nuVizz recognizes the importance of environmental responsibility. We work to minimize the carbon footprint of last mile delivery by optimizing routes to reduce unnecessary mileage and emissions. This green approach not only benefits the planet but can also lead to cost savings for businesses.
- Dispatcher & Driver Empowerment: The success of last mile delivery heavily depends on the workforce. nuVizz’s platform is highly intuitive and automated to the extent that from receiving the order to finalizing of routing plans can be done without manual intervention. Driver satisfaction comes from the usage of user-friendly mobile apps, clear instructions, and tools that make their jobs easier. Handling mission impossible deliveries that create friction between dispatchers and drivers is reduced leading to a happier workforce.
- Scalability: Whether your company handles a few deliveries a day or a few hundreds of thousand, nuVizz's solutions are designed to scale without missing a beat. This flexibility is crucial for businesses of all sizes looking to stay competitive in the e-commerce era.
In conclusion, nuVizz's approach to last mile delivery orchestration reflects the evolving demands of modern logistics. By integrating technology, data analysis, and a customer-centric mindset, we help businesses optimize their last mile operations. Our commitment to sustainability and driver / dispatcher empowerment sets us apart as a forward-thinking partner in the field of last mile delivery.
In the Market Guide for Vehicle Routing and Scheduling 2023, Gartner mentions its key findings and specific recommendations for the supply chain technology leaders who are seeking VRS technology initiatives. VRS Market Definition, as Gartner mentions, “These vehicle routing and scheduling solutions may have capabilities to optimize vehicles, trucks, and/or last-mile movements. Most have the ability to take into consideration maximum hours of service guidelines a commercial driver can drive or work. The solutions can create optimized static territorial routes or be used to create more dynamic, real-time optimal routing decisions.”
nuVizz has been mentioned by Gartner as one of the vendors offering such cutting edge Vehicle Routing and Scheduling solutions. nuVizz has a visibly high standing compared to other vendors mentioned by Gartner as seen below.
nuVizz’s Vehicle Routing and Scheduling Platform leverages cutting-edge AI & ML based algorithms to have a transformative impact on First Mile, Mid Mile, lately and more effectively on the Last Mile delivery operations. Our platform revolutionizes planning and execution by automating processes and ensuring optimal asset and resource utilization, all while considering the unique business goals and objectives of customers, including rules such as delivery time, vehicle capacity and resource constraints and more. Here's a peek view as to how we achieve these goals in each stage of the delivery process
- Automated Order Assignment: AI and ML algorithms analyze incoming orders, considering various factors such as order volume, weight, and delivery windows, to automatically assign orders to the most suitable vehicles or drivers, optimizing the use of resources.
- Dynamic Route Optimization: Out platform continuously updates and optimizes delivery routes in real-time based on changing conditions, such as traffic congestion and weather, to ensure timely pickups and minimize travel times.
- Customer-Specific Rules: AI and ML algorithms can take into account specific customer requirements, such as delivery preferences or restrictions, to create customized routes that align with the customer's objectives.
- Hub and Distribution Center Optimization: Advanced algorithms help streamline operations within hubs and distribution centers by automating sorting, cross-docking, and load balancing, reducing the time and resources required for mid-mile transport.
- Intelligent Load Balancing: ML algorithms can dynamically allocate orders to available vehicles or routes, optimizing the load distribution to minimize the number of trips and maximize asset utilization.
- Customer-Centric Routing: Our platform considers customer-specific time constraints and preferences when optimizing last-mile routes. For instance, it can prioritize deliveries to time-sensitive customers or businesses during their preferred delivery windows.
- Real-time Tracking and Adaptation: Our AI and ML algorithms enable real-time tracking of delivery progress and dynamically adapt routes if unforeseen circumstances arise, such as traffic jams or delays, ensuring that business objectives and customer expectations are met.
- Predictive Analytics: Machine learning models can analyze historical data to predict delivery times more accurately, helping businesses set realistic delivery expectations and enhance customer satisfaction.
- Resource Allocation: These platforms ensure that the right resources, including vehicles and drivers, are allocated efficiently based on demand fluctuations and the specific needs of each delivery.
Our AI and ML-powered Vehicle Routing and Scheduling Platform is instrumental in automating and optimizing the entire delivery process, from First Mile to Mid Mile and Last Mile. We do so by continuously analyzing data, adapting to changing conditions, and aligning operations with the unique goals and constraints of each customer. nuVizz platform not only improves efficiency but also enhances customer service, reduces costs, and supports sustainable and environmentally friendly delivery practices.
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