Top 50 Ai For Supply Chain

Rome AI provides an autonomous AI platform that transforms fragmented supply chain data into a live, contextual model for execution. The system’s agents collaborate with suppliers, factories, carriers, and customers to align schedules, resolve disruptions, and continuously update plans across APS, ERP, and logistics systems. By automating routine checks and reconciliations, it reduces manual effort, lowers safety stock requirements, and improves overall supply chain resilience.

The startup develops enterprise applications that utilize mathematical modeling, non-linear regressions, and neural networks to optimize supply chain operations. By identifying and eliminating inefficiencies, their software helps clients reduce waste and increase profitability.

IVADO Labs develops AI-driven solutions that optimize complex supply chain operations by leveraging advanced data analytics and machine learning techniques. The company addresses inefficiencies in logistics and inventory management, enabling businesses to enhance operational performance and reduce costs.

Cubliq offers an AI-powered supply chain intelligence platform that enhances demand forecasting and inventory optimization. Its generative AI agents integrate real-time data to provide predictive insights and proactive risk management, enabling businesses to improve operational efficiency and resilience.

aioneers offers AI-powered supply chain management software that creates a digital twin of the supply chain, enabling real-time visibility and performance management through machine learning and intelligent algorithms. The platform addresses complexities in supply chain operations by optimizing inventory, enhancing demand planning, and facilitating cross-functional collaboration for improved efficiency and sustainability.

StepFuture offers an AI-powered platform that automates logistics and supply chain workflows for manufacturers. Their software optimizes processes such as inventory management, transportation, and demand forecasting, leading to increased efficiency and reduced operational costs.

The AI Intelligent Supply Chain Optimization Platform utilizes machine learning and real-time data analysis to enhance demand forecasting, transportation routing, and inventory management for medium to large manufacturing and retail enterprises. It addresses issues of demand fluctuations, high logistics costs, and complex inventory management, enabling businesses to reduce operational inefficiencies and improve supply chain stability.

LineSide offers an AI‑driven platform that integrates with ERP and logistics systems to automate demand forecasting, inventory optimization, and route planning. By continuously ingesting real‑time data, it provides actionable insights and dynamic routing to reduce costs and improve supply chain agility for mid‑size to large enterprises.

Spaceflow provides an AI-powered platform for supply chain orchestration, automating logistics and inventory management. Its Procurement Memory Graph structures historical data to enable proactive, context-aware decision-making for precision procurement and optimal supplier selection.

The startup offers a platform for order and shipment management that utilizes AI for demand forecasting and automatic ordering, integrating technologies like RFID and QR codes. This solution enables clients to optimize their shopping processes by automating inventory management based on real-time consumption data.

LogiModel AI provides an AI‑driven platform that integrates directly with ERP, WMS, TMS, and spreadsheet data to automate demand forecasting, inventory and routing scenario planning, and disruption simulation. The system lets supply chain teams generate realistic plans via natural‑language queries, run what‑if analyses, and enforce governed workflows with alerts and audit trails, all without replacing legacy systems.

Convexity offers an AI-driven platform that connects to ERP, WMS, and other workflow tools to provide predictive demand forecasts, inventory optimization, and freight invoice auditing. Autonomous agents automate routine supply‑chain actions such as purchase‑order generation, supplier follow‑ups, and dashboard updates, surfacing only strategic alerts for planners. The cloud‑native solution delivers real‑time data streaming, pre‑built connectors, and configurable KPI visualizations for retailers, manufacturers, and 3PL providers.

Blue Yonder is a digital supply chain and omni-channel commerce fulfillment platform that integrates real-time data analytics and machine learning to optimize inventory management and order fulfillment processes. The platform enhances operational efficiency and reduces costs for retailers and manufacturers facing complex supply chain challenges.

RIVIO develops AI-driven solutions for procurement and supply chain management, utilizing machine learning algorithms to enhance decision-making and operational efficiency. The platform addresses inefficiencies in sourcing and inventory management, enabling businesses to optimize costs and improve supply chain visibility.

Flowlity provides an AI-driven supply chain planning solution that automates 95% of planning activities, enhancing forecasting accuracy and optimizing inventory levels across distribution networks. The platform addresses inefficiencies in demand planning and supplier collaboration, enabling businesses to improve product availability and reduce excess inventory.

Provides a supply chain decision intelligence platform that integrates data from siloed systems to deliver real-time insights and actionable recommendations. It enables businesses to optimize demand forecasting, eliminate bottlenecks, improve logistics efficiency, and reduce working capital, driving measurable improvements in profitability and operational agility.

BackOps provides an AI-driven platform that automates data collection and workflow management within existing supply chain systems, enhancing operational efficiency. By minimizing manual errors and streamlining processes, BackOps enables logistics teams to focus on critical decision-making and improve overall productivity.

Algo provides an AI-powered supply chain planning platform that utilizes advanced forecasting and inventory optimization techniques to enhance demand planning and streamline inventory management. By integrating real-time data across multiple channels, Algo enables enterprises to minimize stockouts and improve profitability through precise inventory allocation and agile decision-making.

The startup utilizes artificial intelligence to optimize supply chain and logistics operations by analyzing real-time data and predicting demand fluctuations. This technology reduces operational costs and enhances delivery efficiency for businesses facing inventory management and transportation challenges.

The startup offers a marketplace platform that utilizes artificial intelligence and machine learning to optimize supply chain operations for businesses. By providing real-time data analytics and predictive insights, it enhances decision-making and reduces operational inefficiencies in inventory management.

Auger provides an Autonomous Supply Chain Operating System that fuses planning and execution into a continuous decision loop. This platform ingests messy operational data and applies an agentic ontology to create executable truth across the enterprise network. The system enables real-time micro-adjustments, collapsing latency between signal and action to improve operational velocity.

PAXAFE offers an AI-enabled, device-agnostic risk management platform that automates the analysis of sensor and third-party data to predict and mitigate supply chain disruptions. By quantifying risk and providing actionable recommendations, the platform enhances operational efficiency and improves on-time delivery for industries such as pharmaceuticals and food and beverage.

Y3 Technologies provides a cloud‑native, SaaS/IaaS platform that unifies warehouse, transport, order, dock, and billing operations for retailers, manufacturers, and logistics providers. Integrated AI, IoT, and RFID deliver real‑time inventory visibility, AI‑driven routing, and demand forecasting, enabling automated workflows and scalable, data‑driven supply chain management.

This company offers an AI-powered platform for supply chain management that connects suppliers and customers to improve visibility and coordination. The platform analyzes supply and demand data, identifies potential disruptions, and provides real-time alerts, helping businesses optimize their supply chains and reduce carbon emissions.

Develops AI-driven solutions for supply chain optimization, marketing automation, and system control, leveraging machine learning techniques such as deep learning and reinforcement learning. These tools improve decision-making, forecasting accuracy, and process automation, reducing operational inefficiencies and business risks. Additionally, offers training and workshops to equip teams with the skills needed to implement and manage AI technologies effectively.

Guangdong Shi Robot provides a cold chain cloud factory platform that utilizes artificial intelligence for supply chain management. The platform enhances temperature-controlled logistics efficiency, ensuring the safe transport of perishable goods while minimizing waste and operational costs.

Didero provides an AI procurement agent that automates routine supply chain workflows like supplier follow-ups and invoice matching. This platform integrates with existing ERP and S2P tools to reduce manual administrative time and achieve spend savings. The system ensures human oversight through exception handling, allowing procurement teams to focus on strategic supplier relationships.

Sankofa provides an AI-powered platform for manufacturers and recyclers to gain real-time supply chain visibility and control. Its predictive analytics and dynamic resource allocation capabilities optimize production and recycling processes, enabling businesses to effectively manage supply and demand fluctuations.

Mitek Analytics offers the Supply Chain AI Twin (SCAIT), a software application that utilizes existing maintenance and logistics data to enhance reliability and efficiency in supply chain operations. By automating data analysis, SCAIT identifies root causes of maintenance issues, leading to significant cost avoidance and improved fleet readiness across various aircraft and military assets.

Omnifold provides an AI‑driven forecasting platform that ingests a company’s internal data and external signals to model the entire supply‑chain network. The self‑improving system generates real‑time demand and inventory forecasts, automatically adapting to market shifts such as consumer sentiment, competitive dynamics, and geopolitical events. Customers access the software through a pilot‑based subscription, paying for the forecasting service and associated integration support, enabling manufacturers and distributors to reduce planning cycle time and improve forecast accuracy.

Zentarim Corp utilizes real-time data analytics and machine learning algorithms to optimize supply chain operations in global logistics. The company addresses inefficiencies in freight management and inventory tracking, resulting in reduced costs and improved delivery times for businesses.

Qianhai Yueshi Information Technology offers an AI-driven supply chain management platform specifically designed for China's cold chain industry, utilizing advanced warehouse management systems (WMS), transportation management systems (TMS), and order management systems (OMS) to enhance operational efficiency. The platform addresses inefficiencies in cold chain logistics by providing real-time data monitoring and automated processes, ensuring optimal temperature control and traceability for perishable goods.

Kila provides an AI assistant specifically designed to optimize logistics operations. This platform integrates machine learning to streamline complex supply chain management tasks. The core value is delivering actionable insights for efficient transportation and inventory control.

Levna develops AI-powered solutions for optimizing supply chain visibility and operational efficiency. The platform integrates disparate data sources to provide real-time predictive analytics for inventory management and logistics planning. This enables enterprises to reduce lead times and improve forecasting accuracy across complex global networks.

Eluum provides an AI-powered platform designed to optimize complex supply chain operations through predictive analytics and real-time visibility. The system integrates disparate data sources to forecast demand fluctuations and mitigate inventory risks across global logistics networks. This results in improved operational efficiency and reduced working capital requirements for manufacturers and distributors.

Spherecast provides an AI Supply Chain Manager platform designed for omni-channel CPG brands to automate planning and execution. The system integrates with existing ERP and data warehouses to deliver AI-powered demand forecasting and supply optimization. This unified platform eliminates manual spreadsheet work, allowing users to focus on exceptions while improving forecast accuracy and reducing inventory levels.

Wise Convey automates logistics tasks using machine learning algorithms to optimize route planning and inventory management. This technology reduces operational inefficiencies and minimizes delays in supply chain processes.

Saltar is a supply chain management platform that utilizes AI-driven automation to centralize and digitize import operations, providing real-time tracking of maritime containers and air waybills. The platform eliminates reliance on emails and spreadsheets, enhancing collaboration among suppliers, freight agents, and customs brokers while streamlining logistics and insurance processes.

Demand Driven Technologies offers Intuiflow, a Demand Driven Planning software that utilizes AI and machine learning to enhance supply chain agility and operational stability. The platform provides actionable insights and improved forecasting to help businesses navigate market volatility and optimize inventory management.

Lyric provides a unified platform for supply chain modeling, planning, and frontier intelligence. This composable environment integrates data, algorithms, and workflows to enable faster, smarter decision-making across the supply chain network. The platform allows users to rapidly deploy tailored solutions for analysis, planning, and execution while democratizing access to advanced decision science.

Zynka provides an AI-powered platform for optimizing complex supply chain operations. The system uses machine learning to forecast demand and manage inventory levels across multi-echelon networks. This results in improved logistics efficiency and reduced working capital requirements for enterprises.

Future for now provides AI-powered forecasting solutions that improve the accuracy of business planning across the supply chain. Their algorithms analyze complex data to generate highly precise predictions for various applications, including pricing, inventory management, production planning, and personnel needs. This helps businesses gain better control and oversight over their operations.

Marlin AI develops artificial intelligence solutions for logistics and supply chain management, enhancing operational efficiency through predictive analytics and real-time data processing. The company addresses inefficiencies in inventory management and transportation logistics, enabling businesses to reduce costs and improve delivery times.

Clarium provides an AI-powered platform that unifies healthcare supply chain data from hospitals and their suppliers in real-time. The system delivers intelligent automation through workflow apps for disruption monitoring, substitute management, and procedure card optimization. This results in improved operational efficiency, increased visibility, and significant cost savings for health systems.

ResilienceXAI offers an AI‑driven simulation platform that lets supply‑chain professionals model detailed disruption scenarios and view quantitative resilience metrics such as Time‑to‑Recovery and Area of Loss. The tool replaces manual spreadsheets with an interactive dashboard for real‑time decision analytics, and includes gamified and research modes for educators and scholars.

Hytrove provides an AI-driven platform designed to optimize supply chain visibility and predictive analytics for complex logistics networks. The system integrates disparate data sources to offer real-time tracking and demand forecasting capabilities. This allows enterprises to reduce operational latency and improve inventory management efficiency.

Metreecs provides an AI‑driven suite for inventory optimization, demand planning, and process automation, targeting large enterprises in retail, food‑and‑beverage, and other supply‑chain intensive sectors. Its platform combines forecasting models, optimization algorithms, and AI agents to generate actionable recommendations that reduce stockouts, lower inventory costs, and increase sales revenue, with pricing based on subscription or usage licenses. Customers access the solution via cloud deployment and receive ongoing support to integrate the AI insights into their operational workflows.

The startup provides enterprise solutions that utilize advanced logistics algorithms to optimize supply chain operations. By addressing inefficiencies in inventory management and transportation, the company enhances operational efficiency and reduces costs for businesses facing complex logistical challenges.

Kimaru provides a supply chain decision intelligence platform that ingests enterprise data and external signals to simulate thousands of scenarios. The platform uses Causal AI to generate actionable recommendations for inventory and pricing optimization, reducing stockouts and waste. This system learns from planner adjustments to continuously improve decision accuracy and automate audit trails.

SupplyWhy offers a cloud‑native AI platform that embeds domain‑trained agents into automotive manufacturers' supply chain workflows, delivering explainable recommendations for planning, execution, and supplier coordination. The system orchestrates real‑time, human‑in‑the‑loop processes to cut waste, reduce inventory excess, and improve operating profit.