Explore the 10 Top Supply Chain Analytics Startups and Companies to Watch in 2026

Executive Summary: Which are the Top 10 Supply Chain Analytics Startups to Watch?

1. Ceres (USA) – offers Nostradamus, an AI-powered platform that integrates 25 000+ data sources to predict supply chain risks and disruptions across industries months in advance
2. Mammoth (USA) – provides a vertical planning co-pilot for CPG brands. It combines real-time data integration and scenario planning to optimize procurement and inventory management.
3. Lambda (India) – delivers Optiflow, a digital twin-based SaaS for network design and supply chain planning
4. MLmargin (Bulgaria) – builds an AI forecasting engine that uses deep learning and reinforcement learning for SKU-level demand prediction, considering trends, seasonality, and lead times
5. Firstshift (USA) – offers a cloud-native platform for AI-powered demand sensing, planning, and inventory optimization for manufacturers and retailers
6. Part Analytics (USA) – delivers Category IQ, a sourcing platform that aggregates BOM-level spend data for strategic cost benchmarking, forecasting, and supplier risk analysis
7. Cyber Tzar (UK) – offers a cyber risk platform that automates threat detection and benchmarking across systems, software, and suppliers using tools like OWASP Zap and API integration.
8. TrueGradient (India) – offers no-code AI tools for forecasting and scenario planning, supporting transparent insights and real-time integration with ERP systems for flexible decision-making
9. Sensos (Israel) – develops Sync, a connected label that monitors shipments in real time using 6D telemetry
10. KatalX (France) – creates an AI-driven platform for supply chain visibility and collaboration

Global Startup Heat Map highlights Emerging Supply Chain Analytics Solutions to Watch

Through the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering over 7M+ startups, 20K+ technology trends plus 150M+ patents, news articles & market reports, we identified top supply chain analytics startups.

The Global Startup Heat Map below highlights emerging supply chain analytics startups you should watch in 2026 as well as the geo-distribution of 4000+ supply chain analytics startups & scaleups we analyzed for this research.

According to our data, we observe high startup activity in Western Europe and the United States, followed by India. The top 5 Startup Hubs for supply chain analytics are London, New York City, Bangalore, San Francisco, and Singapore.

Meet Emerging 10 Supply Chain Analytics Solutions to Watch in 2026

We hand-picked startups to showcase in this report by filtering for their technology, founding year, location, funding, and other metrics. These supply chain analytics startups work on solutions ranging from predictive analytics and supply chain optimization to AI-powered supply chain planning to supply chain co-pilot.

1. Ceres

• Founding Year: 2019
• Location: USA
• Solution: Predictive Supply Chain

Ceres Technology enhances supply chain analytics, utilizing a proprietary AI engine, Nostradamus. It forecasts multi-tier risks with high accuracy. The engine integrates over 25 000 real-time datasets, which enhances visibility across the supply chain and anticipates disruptions months in advance.

It operates by merging external data with transactional details to predict delays and disruptions effectively. Industries such as pharmaceuticals, manufacturing, automotive, and technology benefit significantly from these insights.

The platform uses AI to manage vast amounts of data, from economic indicators to social media feeds, that allow for comprehensive risk assessment.

2. Mammoth

• Founding Year: 2022
• Location: USA
• Solution: Supply Chain Co-Pilot

Mammoth offers a vertical planning solution for high-growth consumer packaged goods companies to streamline their supply chains. This solution features real-time data integration, which connects disparate data sources into a unified decision-making framework. It ensures operational transparency through extensive data ingestion from various formats and systems.

The solution enhances decision-making through advanced AI tools that automate and analyze supply chain workflows, optimizing procurement and inventory management. It enables scenario planning simulations for proactive management and planning for potential supply chain disruptions.

Stakeholders such as brands, co-manufacturers, and suppliers benefit from increased efficiency and reduced operational costs provided by the solution.

3. Lambda

• Founding Year: 2021
• Location: India
• Solution: Supply Chain Planning

Lambda’s Optiflow platform is a SaaS solution that enables organizations to create digital twins for optimizing network designs and supply chain planning. This platform integrates with existing technologies, offering a suite of tools for data ingestion, scenario planning, and real-time analytics across various industries.

Lambda emphasizes collaborative strategies and ongoing support to ensure that solutions align with client objectives, enhancing operational efficiency and cost-effectiveness. Businesses across consumer packaged goods, e-commerce, industrial manufacturing, and retail sectors benefit from Lambda’s advanced analytical capabilities.

4. MLmargin

• Founding Year: 2021
• Location: Bulgaria
• Solution: Demand Forecasting

MLmargin provides an AI-powered tool for demand forecasting and inventory management. The tool utilizes historical sales data, including item IDs, dates, quantities sold, and prices, to train machine learning models.

These models employ a combination of deep learning and standard machine learning techniques to adapt to various data scenarios and reinforcement and transfer learning.

The tool offers flexible forecast periods, ranging from daily to monthly, and incorporates seasonality and trend recognition to enhance prediction accuracy. The system generates recommended order quantities for each SKU by examining possible scenarios, and considering factors such as lead times, current inventory levels, and already ordered quantities.

5. Firstshift

• Founding Year: 2022
• Location: USA
• Solution: AI-powered Supply Chain Planning

Firstshift develops an AI-powered, cloud-native platform for demand and supply chain planning, suitable for enterprises of all sizes. The platform features demand sensing, demand planning, and inventory and replenishment planning, all driven by advanced AI to enhance decision-making capabilities.

It enables businesses to capture additional revenue, increase forecast accuracy, and streamline their inventory processes. Industries such as consumer goods, food and beverages, and manufacturing utilize Firstshift’s solutions to reduce supply chain risks and scale efficiently.

Through integration with existing ERP systems, the platform ensures compatibility and enhances the overall tech ecosystem without disrupting existing operations.

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6. Part Analytics

• Founding Year: 2019
• Location: USA
• Solution: AI-driven Spend Analytics
• Funding: Raised USD 3M Venture Round from MK Capital

Part Analytics delivers an OEM Sourcing Software Platform that optimizes supply chain management through detailed category insights and risk assessment. This platform, known as Category IQ, aggregates spending data across all parts and BOMs, offering a comprehensive view that enhances strategic sourcing decisions.

It enables sourcing and procurement teams to track spending by category, assess cost trends, and benchmark against market standards to ensure competitive pricing.

The platform also facilitates risk assessment and demand forecasting by utilizing data on commodities, suppliers, and part aging, which supports proactive management strategies. Industries like electronics manufacturing benefit from the platform’s category management, which replaces outdated spreadsheet methods with a centralized, data-driven approach.

7. Cyber Tzar

• Founding Year: 2021
• Location: UK
• Solution: Cyber Risk Management

Cyber Tzar builds a cyber risk management platform that identifies, evaluates, and mitigates threats across digital systems and supply chains. It uses automated scanning and benchmarking tools to detect vulnerabilities and assess exposure.

The platform combines inside-out and outside-in reviews to analyze risks from both internal and external sources. It draws on empirical data and qualitative inputs, including user-submitted questionnaires. Security tools such as OWASP Zap detect subdomain, SSL, and API weaknesses, and the system maps results to frameworks like OWASP Top Ten, MITRE, and NIST.

Through API integration, the startup embeds security testing into the software development lifecycle and monitors changes over time. It also offers multi-tier visibility across software, SaaS, shadow IT, and physical suppliers.

8. TrueGradient

• Founding Year: 2022
• Location: India
• Solution: Supply Chain Optimization
• Funding: Secured USD 700 000 seed funding

TrueGradient offers no-code, self-serve AI products for optimizing supply chains. The product facilitates data ingestion from multiple sources, integrates with existing databases, and automates data model creation, enabling streamlined workflow. It offers a simple interface that allows business users to execute and iterate supply chain models with flexibility in machine learning parameters and input customization.

Features like enhanced forecasting with exogenous variables, transparent insights into metrics, and the ability to enrich outputs with forecast adjustments and scenario planning enhance the decision-making process. TrueGradient supports end-to-end integration with ERP tools, providing actionable dashboards and advanced machine-learning settings for a range of users.

9. Sensos

• Founding Year: 2022
• Location: Israel
• Solution: Proactive Supply Chains
• Funding: Raised USD 20 million Series A funding

Sensos facilitates proactive decision-making which enhances the profitability and efficiency of supply chains. The Sensos Sync platform utilizes a globally-connected label that monitors shipments with 6-dimensional telemetry data in real time.

The label is the size of a credit card and attaches easily to any package. This ensures tracking without the common issue of detachment. It features advanced capabilities including smart geolocation, condition monitoring, and shipment security, and is flight-safe, and suitable for diverse industries.

Sensos integrates with any ERP/WMS system, allowing businesses to prioritize significant events and streamline operations. Industries such as pharmaceuticals, aviation, and consumer electronics benefit from its deployment without needing additional infrastructure.

10. KatalX

• Founding Year: 2021
• Location: France
• Solution: Supply Chain Visibility & Collaboration Platform

KatalX develops a supply chain visibility and collaboration platform, enhanced by artificial intelligence. The platform ensures visibility and collaboration reinforce each other to prevent inefficiency and frustration that arise when one is present without the other.

It features tools like intelligent automation and a smart assistant that support logistics processes that include planning, tracking, tracing, and collaborating on shipments. The platform allows stakeholders to simulate shipment workflows, check CO2 emissions projections, and plan for the return of reusable assets.

KatalX bridges the current operational gaps, providing operational excellence, building resilience, improving profitability, and ensuring compliance with environmental and safety regulations.

Discover All Emerging Supply Chain Analytics Startups

The 10 supply chain analytics startups showcased in this report are only a small sample of all startups we identified through our data-driven startup scouting approach. Download our free Industry Innovation Reports for a broad overview of the industry or get in touch for quick & exhaustive research on the latest technologies & emerging solutions that will impact your company in 2026!