Top 50 Ai For Supply Chain

Endeavor provides an AI platform that automates and optimizes core supply chain processes such as quoting, order entry, pricing, routing, and financial workflows. The system integrates with ERP, CRM, and other data sources to deliver real‑time inventory planning, S&OP forecasting, and commercial insights. By reducing manual tasks and improving accuracy, it helps manufacturers and distributors increase operational efficiency, revenue, and ROI.

Deposco provides an AI‑driven supply chain platform that unifies execution, planning, and intelligence across ERP, WMS, and OMS systems. The solution offers real‑time inventory and order visibility, AI‑optimized order routing, demand forecasting, and role‑based dashboards to automate fulfillment and reduce errors for mid‑market retailers, e‑commerce brands, and 3PL providers.

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.

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.

Inspectorio offers an AI-powered supply chain management platform that digitizes and connects quality risk management, responsible sourcing, and production oversight processes for global brands and retailers. This platform provides real-time visibility and data-driven insights, enabling users to enhance operational efficiency and ensure compliance across multi-tier supply chains.

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.

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.

Enmovil offers an AI‑native platform that unifies demand forecasting, inventory optimization, warehouse and dispatch planning, and execution monitoring into a single orchestrator for large, complex supply chains. The system continuously retrains models on real‑time signals, runs scenario simulations, and provides AI‑driven vehicle assignment, route sequencing, and load building, while its control tower delivers live visibility, risk management, and automated freight settlement.

Daybreak provides an AI‑first supply chain planning platform that automates data ingestion, feature engineering, and model selection to deliver high‑precision demand and inventory forecasts without requiring data‑science expertise.

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.

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.

Provides a logistics platform that uses AI-driven data extraction and integration to centralize and standardize fragmented supply chain and financial data. It automates 99% of freight and parcel audits, carrier payments, and accounts payable/receivable processes, reducing manual workload, improving cost visibility, and unlocking significant transportation savings for shippers and 3PLs.

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.

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.

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.

Paretos is an AI-based decision intelligence platform that utilizes a patented optimization algorithm to enhance demand forecasting and inventory management for businesses facing complex supply chain challenges. By automating data analysis and providing actionable insights, Paretos enables organizations to achieve over 40% higher accuracy in forecasts and significantly reduce manual planning efforts.

Lumachain is a supply chain platform that utilizes AI and blockchain technology to provide real-time traceability of food products, monitoring their origin, condition, and location throughout the supply chain. The platform addresses inefficiencies and safety concerns in food production, ensuring ethical sourcing and improved quality control from farm to fork.

Provides a supply chain management platform that integrates with existing communication channels like Email, WhatsApp, and WeChat to centralize data from suppliers and automate updates on production, delivery, and cost changes. By leveraging AI-powered queries and real-time tracking, it reduces manual data management time by 30% and enables instant, actionable insights without requiring workflow changes or supplier onboarding.

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.

Altana provides a dynamic, AI-driven platform that offers real-time visibility into global supply chains by integrating extensive public and private data sources. This enables governments and enterprises to manage compliance, assess risks, and enhance collaboration across complex value chains, addressing challenges related to transparency and regulatory requirements.

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.

EAIGLE is an end-to-end AI platform that utilizes vision data and advanced optical character recognition (OCR) technology to enhance security and operational efficiency in supply chain and logistics sectors. The platform automates vehicle access control, yard operations, and asset tracking, significantly reducing labor and operational costs.

Solvoyo offers a cloud-native platform that automates supply chain decisions across inventory, production, fulfillment, and transportation using AI and proprietary optimization technology. By eliminating reliance on spreadsheets and manual processes, the platform enhances operational efficiency and enables organizations to respond swiftly to market changes, achieving measurable improvements in inventory reduction and service levels.

Mentum provides an API that automates procurement and supply chain workflows using generative AI, enabling real-time visibility and data synchronization across existing systems. The platform reduces operational costs and lead times by streamlining supplier communication, compliance management, and data analytics.

Bucephalus is a supply chain operations platform that utilizes AI-driven demand forecasting and inventory optimization to enhance sell-through rates and minimize excess stock. By aligning supply with actual demand, the platform helps e-commerce brands reduce waste and unlock working capital, ultimately improving long-term cash flow.

Crest is an AI-powered inventory planning software that utilizes machine learning algorithms to provide accurate demand forecasting and automated purchase planning, ensuring optimal stock levels across various sales channels. By addressing issues of stockouts and overstocking, Crest enables businesses to fulfill every order on time, ultimately improving cash flow and increasing revenue by up to 15%.

MTM Logix provides customized supply chain and logistics solutions by utilizing artificial intelligence to automate and optimize each component of the supply chain. This approach enhances visibility, reduces costs, and transforms supply chains into competitive advantages for businesses facing complex logistics challenges.

Tuidi develops AI-driven virtual assistants tailored for the consumer goods distribution sector, focusing on automating inventory management and order processing. By minimizing human error and enhancing supply chain responsiveness, Tuidi significantly improves operational efficiency for businesses in this industry.

GMDH Streamline is an AI-powered supply chain planning platform that integrates demand forecasting, inventory optimization, and collaborative planning to enhance operational efficiency for manufacturers, distributors, and retailers. It addresses issues of stockouts and overstocks, enabling businesses to achieve over 95% product availability while reducing inventory levels by up to 36% and improving forecasting speed by 60%.

The startup offers an artificial intelligence-powered inventory planning platform that utilizes predictive analytics and real-time data automation to enhance demand forecasting. This technology enables businesses in retail, wholesale, and manufacturing to optimize inventory levels, reduce excess stock, and improve supply chain efficiency.

Dataviva offers a low-code, real-time planning platform that integrates AI and decision algorithms with human expertise to enhance retail supply chain management. This technology enables retailers to automate demand forecasting, optimize inventory, and reduce decision-making time, resulting in improved sales and reduced overstock.

Quantics.io provides AI-driven supply chain planning solutions specifically designed for manufacturing companies, utilizing self-adapting forecasting and inventory management to enhance accuracy and responsiveness. Their technology addresses the challenges of demand variability and supply chain disruptions, enabling up to 90% faster planning and 70% more accurate forecasts.

Strum AI provides an AI‑native platform that quickly integrates enterprise supply‑chain data using a canonical schema and LLM‑driven semantic mapping, enabling demand, supply, and inventory teams to access a unified view within days.

The startup offers a WhatsApp-based procurement platform that connects auto parts distributors and manufacturers directly with retailers in Africa, streamlining the ordering process through AI-driven management. This solution addresses the fragmented supply chain in the $50 billion automotive spare parts market, reducing costs and improving access for over 400 million projected car owners by 2050.

3S Automation provides AI‑driven software that analyzes supply‑chain data to deliver accurate demand forecasts, inventory optimization, and logistics routing recommendations. The platform integrates with existing ERP, WMS, and TMS systems and offers a web dashboard with real‑time analytics, scenario planning, and automated alerts, helping manufacturers, distributors, and retailers reduce costs, avoid stockouts, and improve operational resilience.

The startup provides a supply chain management platform that utilizes real-time data analytics and machine learning algorithms to enhance inventory visibility and demand forecasting. This technology reduces operational inefficiencies and minimizes stockouts, enabling businesses to optimize their supply chain processes.

Intelichain Labs offers a cloud-based platform for sales operations planning that utilizes AI and machine learning to enhance demand forecasting and inventory optimization. The platform addresses inventory and sales losses by providing an integrated, agile approach to supply chain management, enabling businesses to improve efficiency and decision-making.

This startup develops artificial intelligence software that automates business processes for home service companies by utilizing deep learning to optimize supply chain data, production planning, and procurement logistics. Their solution enables users to efficiently manage bookings for services like housekeeping, plumbing, and childcare, ultimately enhancing operational efficiency and profitability.

The startup utilizes artificial intelligence to enhance supply chain decision-making for businesses by analyzing data patterns and optimizing inventory management. This approach reduces operational costs and improves efficiency in logistics, addressing challenges related to demand forecasting and resource allocation.

SmartOpt provides customizable machine learning and artificial intelligence solutions for end-to-end supply chain and logistics management, focusing on data optimization to enhance operational efficiency. By implementing their proprietary algorithms, companies can achieve cost savings of at least 40% while improving customer satisfaction and overall performance.

Transparent Path develops real-time supply chain visibility technologies using IoT sensors and AI algorithms to monitor the location and environmental conditions of perishable goods during transit. This system addresses inefficiencies in traditional supply chains, reducing waste and costs while ensuring product quality and safety.

Shape utilizes AI-driven analytics to consolidate and interpret supply chain data, enabling businesses to identify inventory risks and opportunities in real-time. By providing actionable insights on reorder points and order quantities, Shape helps companies minimize stock-outs and excess inventory, ultimately enhancing operational efficiency and reducing carrying costs.

Optimae provides an AI‑driven platform that unifies sourcing bids, fulfillment logistics, and multi‑channel sales data into real‑time dashboards. The software uses predictive analytics to forecast demand, optimize inventory allocation, and recommend cost‑effective execution strategies, giving e‑commerce brands and logistics teams end‑to‑end visibility and faster, data‑backed supply chain decisions.

Oii.ai provides a digital twin platform that creates an end-to-end blueprint of a company's supply chain for full visibility. The platform uses probabilistic AI to deliver automated, real-time optimization recommendations that balance service levels, cost, and working capital. This solution enables faster planning cycles and measurable reductions in inventory, cost to serve, and service risk without disrupting existing systems.

Grasshopper offers an AI-powered supply chain management platform that integrates transportation management, warehouse management, and inventory control to enhance operational efficiency. The technology addresses inefficiencies in logistics processes, enabling faster deliveries and improved inventory accuracy for retailers, eCommerce, and third-party logistics providers.

Pulllogic provides AI agents to optimize supply chain operations by predicting availability health and forecasting demand. The platform uses a forward-looking Product Availability Readiness (PAR) metric to position inventory correctly, minimizing waste and lost sales. This solution integrates with existing systems to automate workflows across planning, procurement, and logistics for improved profitability.

GenAI is developing a machine learning platform that enhances supply chain management by predicting demand fluctuations and optimizing inventory levels. This technology reduces excess stock and minimizes stockouts, leading to improved operational efficiency and cost savings for businesses.

Demand Chain AI Inc leverages artificial intelligence to enhance demand planning and analytics in supply chains, focusing on inventory management and forecasting. This technology enables businesses to minimize excess stock and improve resource allocation, leading to significant cost reductions.

DeepVu provides Generative AI decisioning agents that utilize reinforcement learning and multi-scenario digital twins to enhance supply chain resilience, sustainability, and profitability. The platform enables real-time, data-driven planning decisions that optimize key performance indicators while addressing risks and inefficiencies in supply chain operations.

ManoloAI builds custom AI solutions for retail supply chains, enhancing demand forecasting and automating operations. They transform AI experimentation into measurable competitive advantages through data integration and agentic workflows.