Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into the logistics industry. This time, you get to discover 5 hand-picked artificial intelligence (AI) startups impacting logistics companies.
Out of 654, the Global Startup Heat Map highlights 5 Top AI Startups impacting Logistics
The insights of this data-driven analysis are derived from the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering 2 093 000+ startups & scaleups globally. The platform gives you an exhaustive overview of emerging technologies & relevant startups within a specific field in just a few clicks.
The Global Startup Heat Map below reveals the distribution of the 654 exemplary startups & scaleups we analyzed for this research. Further, it highlights 5 AI startups that we hand-picked based on criteria such as founding year, location, funding raised, and more. You get to explore the solutions of these 5 startups & scaleups in this report. For insights on the other 649 AI solutions for logistics management, get in touch.
Tachyon facilitates Fleet Optimization
Founding Year: 2019
Location: Riyadh, Saudi Arabia
Partner for: Route Planning & Dynamic Pricing
Saudi startup Tachyon develops a cloud-based platform and smartphone apps to facilitate shipping. It leverages machine learning (ML) algorithms to automatically assign trucks to the shipper. The ML algorithms select optimum carriers, routes, and pricing as well as enable tracking of used lanes. Further, the startup offers analytics, dynamic pricing, proof-of-work, and digital documentation in real-time. This provides end-to-end visibility to shippers and carriers as well as enables efficient fleet utilization, reducing carbon emissions and the number of trucks on the road.
SmartOpt provides Demand Forecasts
Founding Year: 2018
Location: Istanbul, Turkey
Partner for: Supply Chain Management, Price Forecasts, Inventory Planning
Turkish startup SmartOpt uses statistics and AI to optimize logistics operations. It develops a platform, ForecastOpt, that predicts future demand and prices of products based on time-series methods, allowing users to analyze future market trends. Further, the startup enables dynamic route optimization using real-time traffic data. It also offers another platform, MikRunOpt, that optimizes inbound logistics by integrating suppliers, warehouses, and production plans at one point.
7bridges enables Logistics Workflow Optimization
Founding Year: 2016
Location: London, UK
Funding: USD 3,4 M
Partner for: Inventory & Capacity Planning
7bridges is a UK-based startup that develops Logistics Engine for Optimization (L.E.O.), a platform to facilitate workflow automation. L.E.O. is an AI-powered web tool that integrates logistics data and processes, as well as makes them accessible through a user interface. It constantly learns and adapts to changing workflow conditions and this facilitates decision-making in managing business constraints, inventory, operational capacity, and external disruptions. This, in turn, provides visibility and control over logistics costs, operations, and performance.
Ripplr provides Distribution-as-a-Service
Founding Year: 2019
Location: Bengaluru, Karnataka
Funding: USD 3 M
Partner for: Distribution Network Management
Ripplr is an Indian startup that offers a digital distribution platform for brands. The platform provides AI-based predictions and logistics decisions as well as offers data-driven analytics and operational visibility of loading, routing, live inventory, and buying patterns. This enables logistics companies to streamline distribution networks to optimize fulfillment periods and thus improve customer satisfaction.
Safety Logistics enhances Warehouse Worker Safety
Founding Year: 2019
Location: Győr, Hungary
Funding: USD 213 700
Partner for: Industrial Automation
Hungarian startup Safety Logistics develops AX SYSTEM, an occupational safety platform. It uses artificial intelligence and machine vision to monitor traffic within the warehouse. The startup’s device collects visual data and uses it for the analysis of traffic and vehicle behavior. The use of AI enables the prediction of accident risks, thereby improving worker safety while facilitating smooth material movement. It also provides a warning signal to draw attention when there is a risk of collision.
Discover more Logistics Startups
Logistics startups such as the examples highlighted in this report focus on warehouse automation and optimization, fulfillment management, intralogistics, as well as machine vision. While all of these technologies play a major role in advancing the logistics industry, they only represent the tip of the iceberg. To explore logistics technologies in more detail, simply let us look into your areas of interest. For a more general overview, you can download our free Logistics Innovation Report to save your time and improve strategic decision-making.