Discover 5 Top Logistics Demand Planning Solutions

Curious about new technological advancements in the logistics industry? Explore our analysis of 114 global startups & scaleups and learn how their demand planning solutions impact your business!

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 five hand-picked startups building logistics demand planning solutions.

Out of 114, the Global Startup Heat Map highlights 5 Top Startups building Logistics Demand Planning Solutions

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 114 exemplary startups & scaleups we analyzed for this research. Further, it highlights five logistics 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 five startups & scaleups in this report. For insights on the other 109 logistics demand planning solutions, get in touch with us.

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Youhualin simplifies Data-Driven Logistics Optimization

Founding Year: 2016
Location: Shanghai, China
Partner for Demand Forecasting & Replenishment Planning

Youhualin is a Chinese startup that enables data-driven logistics optimization. Its demand forecasting and replenishment solution uses AI and big data to build predictive models for sales and logistics teams. The solution comes with prediction bias correction and model tuning for predicting accurate errors and obtaining a model with minimal error. This allows enterprises to forecast accurate demands and plan replenishments accordingly.

SCOPT Analytics improves Supply Chain Efficiency

Founding Year: 2017
Location: Bengaluru, India
Collaborate for Supply Chain Optimization

SCOPT Analytics is an Indian startup that specializes in maximizing supply chain efficiency through data analytics. The startup’s demand forecasting solution evaluates the internal business processes and key performance indicators (KPIs). The data is then used with its proprietary machine learning-based demand forecasting platform to get accurate logistics demand forecasts. Furthermore, the startup periodically optimizes the demand forecast models for its clients.

Omnics develops Supply Chain Management Software

Founding Year: 2016
Location: San Diego, USA
Use this solution for Supply & Inventory Planning

US-based startup Omnics develops a digital supply chain planning and execution software platform that captures historic data. The startup also allows companies to customize Omnics’ platform according to their business processes for efficient demand planning and forecasting. This assists companies to increase revenues, lower costs, and mitigate risks.

uSizy facilitates Stock Optimization

Founding Year: 2016
Location: Madrid, Spain
Work with uSizy for Logistics Planning

uSizy is a Spanish startup that provides a machine learning-based platform for stock optimization, pricing intelligence improvement, and logistics planning. Its smart logistics platform implements data analytics techniques for businesses to plan their transportation and stocks efficiently and maximize profits. The platform also predicts the items and sizes with a higher probability of return.

Owl Solutions offers Supply Chain Performance Management

Founding Year: 2018
Location: Waterloo, Сanada
Partner for Supply Chain Analytics

Canadian startup Owl Solutions offers a supply chain analytics library that simplifies demand planning. The platform uses supply chain key performance indicators (KPIs), such as forecast accuracy, forecast bias, and changes, to forecast consumer demands. Additionally, the solution enables businesses to save money by reducing operational risks and improve customer service using demand forecasts.

Discover more Logistics Startups

Logistics startups such as the examples highlighted in this report focus on data-driven process optimization, integrated supply chain management, and supply chain analytics. 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, download our free Logistics Innovation Report to save your time and improve strategic decision-making.

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