Discover 5 Top Advanced Planning & Scheduling Solutions impacting Logistics

Curious about new technological advancements in the logistics industry? Explore our analysis of 249 global advanced planning & scheduling startups & scaleups and learn how their 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 5 hand-picked advanced planning & scheduling solutions.

Global Startup Heat Map highlights 5 Top Advanced Planning & Scheduling Solutions out of 249

The insights of this data-driven analysis are derived from the Big Data & Artificial Intelligence-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 249 exemplary startups & scaleups we analyzed for this research. Further, it highlights 5 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 5 startups & scaleups in this report. For insights on the other 244 advanced planning & scheduling solutions, get in touch.

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GoRamp develops a Transportation Management System (TMS)

Efficient product transportation and resource allocation allow logistics companies to reduce freight costs and minimize execution errors. By utilizing software for advanced planning and scheduling, supply chain operators maximize transportation speed. Moreover, it increases organizational control and logistics visibility through real-time data collection. Therefore, startups develop TMS software to optimize such processes as freight procurement, dock scheduling, and carrier management.

Lithuanian startup GoRamp develops a transportation management system for supply chain optimization. The startup’s solution enables the distribution of freight requests between multiple carriers. The real-time data collection, processing, and distribution allow logistics operators to leverage data-based planning to reduce errors associated with order scheduling and fulfillment.

Kinta AI optimizes Production Scheduling

Linear logistics planning models usually fail to take into account random events such as sudden demand changes or machine malfunction. This decreases delivery time and increases the number of days products stay in inventory. To mitigate these challenges, startups leverage machine learning (ML) to develop advanced algorithms for accurate supply chain planning and scheduling.

US-based startup Kinta AI optimizes operations scheduling for manufacturing and supply chains involving complex production processes. The startup enhances linear programming with reinforcement learning algorithms to take into account events such as unexpected orders, logistics disruptions, and machine downtime. Kinta AI’s scheduling algorithms increase delivery times, as well as decrease product makespan and days spent in inventory.

UNIQAI Systems advances AI-Powered Planning Software

In logistics, decisions such as choosing plant location, reacting to seasonal demand changes, or applying the most suitable production sequence determine financial outcomes. Decision models allow supply chain companies to utilize previous data and artificial intelligence to minimize the error rate for short- and long-term decision-making. This is why startups develop AI-based software planning solutions that minimize risks and facilitate data-based decision-making.

Israeli startup UNIQAI Systems works on AI-powered planning software for industries that require fast and reliable decisions, such as logistics, defense, and healthcare. The startup combines data, ML, and fuzzy logic (FL), as well as planning and optimizing algorithms to decrease planning time, produce alternative decisions, and analyze and predict risks. It allows logistics operators to shorten decision-making processes and derive better planning outcomes.

Algo offers Advanced Inventory Analytics

Effective inventory planning and management allow companies to reduce storage costs and optimize inventory space. Through incorporating advanced analytics into supply chain management, startups develop planning algorithms to identify stock anomalies and optimize product distribution. Additionally, these analytics solutions increase the accuracy of price and seasonality forecasts.

US-based startup Algo develops advanced inventory analytics software for supply chain operations. Insights Studio, the startup’s product, enables product segmentation and anomaly analytics. Another product from Algo, Simulations Studio, provides forecast modeling and optimizing store-keeping unit (SKU)-to-store combinations. Lastly, the Collaboration Studio leverages natural language processing (NLP) to enhance inventory planning and management with a conversational user interface such as a chatbot.

Mojro provides Distribution Planning & Scheduling Solutions

Consumer demand for faster delivery increases the dynamics of supply chain operations. This puts extra pressure on inventory management and logistics planning & scheduling. Therefore, startups develop solutions that make the distribution of products and raw materials more efficient. Additionally, these solutions give logistics operators real-time insights into inventory and delivery processes, which facilitates route optimization and multi-leg planning.

Indian startup Mojro develops a distribution planning and scheduling solution for the fast-moving consumer goods (FMCG) sector. The startup’s Software-as-a-Service (SaaS) platform uses big data and AI to optimize secondary, tertiary, and last-mile delivery planning and scheduling. Mojro’s space and route optimization models a set of predefined and dynamic logistics problems such as operational hours as well as vehicle and entry restrictions to manage them before they occur.

Discover more Logistics Startups

Logistics startups such as the examples highlighted in this report focus on inventory management, on-demand delivery, and supply chain management. While all of these technologies play a major role in advancing the logistics industry, they only represent the tip of the iceberg. To explore more logistics technologies, simply get in touch to 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.

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