Top Supply Chain Analytics Companies

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209 companies for Supply Chain Analytics

IQ banker's Logo

IQ banker

New York, United States

11-50 Employees


We develop artificial intelligence engines that work and react based on your specifications. IQ banker is a deep tech firm and global leader and pioneer in the digitization of corporate finance, valuation, and financial modeling. Innovative data feed intelligence products including Global Supply Chain Relationships. IQ BANKER IS A DEEP TECH FIRM AND A GLOBAL LEADER IN GLOBAL SUPPLY CHAIN DATA. IQ banker’s licensing products include data mapping & integration solutions, corporate finance data modeling and analytics, and capital markets intelligence capabilities in global supply chain data, data visualization technology, and people data & analytics. The relationship between real time news and IQ banker’s Relationship mapping technology provide users with immediate actionable information on market events, showing companies related to the target that could possibly be impacted by the news. By tracking these relationships, we provide powerful tool for building investment strategies, generating ideas and even mitigating risk in portfolio exposure. We believe in beautiful, simple, and intuitive visualization that highlight opportunity and discover important signals from the noise and stream of information in the markets.

Core business



LetsScale's Logo


United States

1-10 Employees


At LetsScale, our purpose is simple- we support the CEO, COO and other drivers in the organization. LetsScale a Christian management consulting firm that develops customized growth strategies and also provides fractional operations as a service. Letsscale's consultants immersed themselves in our vision and goals, providing us with invaluable strategic insights. When we engaged Letsscale's Fractional CFO consultant, we found a true partner who not only met our expectations but exceeded them. LetsScale is a Christian management consulting firm that develops customized growth strategies and provides fractional operations as a service. We specialize in placing proven C-Suite consulting talent within organizations. We specialize in placing proven C-Suite consulting talent within organizations, with a focus on scaling operations and increasing revenue. Our consulting services provide tailored strategies and expert guidance to optimize your operations, scale your business, and drive sustainable revenue growth.

Core business

6 Key Benefits of Supply Chain Analytics

... 6 Key Benefits of Supply Chain Analytics ...

Optimact's Logo


Zaventem, Belgium

1-10 Employees


Whatever your business, your goals are the same: To succeed. Optimact is helping organizations to achieve sustainable benefits in their Supply Chain through specialized tooling and consulting services. The Optimact Solution was built to support and facilitate you. Optimact’s cloud-based solution connects people, data, processes and plans across the enterprise, bringing different supply chain planning domains together. Furthermore, Optimact is set up to be used intuitively and close to the company processes. We consider Optimact as a supporting technology to achieve the company objectives: results. That’s why Optimact has developed a supply chain toolkit (strategy, processes, organisation) as a mean to get results. Optimizing your inventories and increase your service levels.


Supply Chain Analytics

... Learn more about Supply Chain Analytics ...

WyzMindz Solutions Pvt. Ltd.'s Logo

WyzMindz Solutions Pvt. Ltd.

Bengaluru, India

51-100 Employees


Trusted by 730+ dealers of Passenger Vehicles & Two-wheelers of top brands such as Maruti Suzuki, Hyundai, Toyota, Honda & Ford etc. Scalable SaaS CRM for BFSI ; Product Sales to Payment Collection.

Core business

Supply Chain Analytics Services

... Supply Chain Analytics ...

Bilytica Spain ( Business Intelligence & Analytics )'s Logo

Bilytica Spain ( Business Intelligence & Analytics )

Madrid, Spain

1001-5000 Employees


We are uniquely prepared to help clients disrupt their industry with our precision cloud solutions. We deliver custom cloud solutions using cloud native development and application modernization from certified cloud experts. Used by 25,000+ Doctors on Cloud, Cloudpital is the healthcare Industry leader in Middle East, Australia, Africa and Now expanding to US & Canada. Pakistan’s #1 Cloud Payroll Platform trusted by 3,000+ corporates. We offer turnkey solutions for common challenges as well as custom solutions for more particular needs. From cloud migration, to cloud management, to cloud-native development – are designed to deliver business impact and drive innovation. Create Tasks for Team, Surveys to Conduct and Monitor Competitors Products with TrackQlik.


Supply Chain Analytics

... Supply Chain Analytics Solution by ...

Inferess's Logo


San Francisco, United States

1-10 Employees


By combining Inferess’ automated data feed and analytics technology we can deliver unprecedented insights that would have required an army of human analysts to decode and understand in the past. Inferess gives you those missing pieces so you can see the forest for the trees. With Inferess, the power will be in your hands. Inferess uses natural language processing to scan trusted sources and deliver your data in milliseconds. That's why Inferess only pulls data from trusted sources, such as company filings or press releases, and provides sources for all information. Inferess is the only solution that provides insights on relationship strength, measure customer and supplier-based performance, and predict network effects. Inferess provides investors with access to 38,000+ companies, with standard stock market identifiers for quick access and analysis. Inferess provides up-to-date information on all companies listed, as well as a 5-year history ideal for modeling and predictions.

Core business

Global Supply Chain Data & Analytics | Inferess

... Put your data to work with our supply chain analytics ...

prelytico's Logo


Munich, Germany

1-10 Employees


Core business

prelytico – Procurement & Supply Chain Analytics

... – Procurement & Supply Chain Analytics ...

Ideation Technology Solutions's Logo

Ideation Technology Solutions

Kolkata, India

11-50 Employees


IdeationTS prefers the following techniques but are not averse to newer techniques if and when the clients feel comfortable. Data Science is the Science and Engineering to peruse the data trying to decipher the hidden meaning and the various relationships within the data. Health Care is a social phenomenon and cannot be treated in isolation. Inefficiencies cost money, increase pollution-causing emissions and take time away from people’s lives.


Supply Chain Analytics – Retail

... Supply Chain Analytics - Retail - ...

Aurizon Solution's Logo

Aurizon Solution

Lyon, France

1-10 Employees


Nous sommes là pour répondre à vos questions :. Prévoir la demande au niveau du produit fini, du composant ou de la matière première. Intégrer le cycle de vie produit dans votre politique de stock et dans le pilotage des approvisionnements.

Core business

Supply Chain & Data Analytics | Aurizon Solution | France

... Supply Chain & Data Analytics | Aurizon Solution | ...

NAV Global Technologies LLC's Logo

NAV Global Technologies LLC

Irving, United States

1-10 Employees


We enable Logistics service providers to achieve and deliver real-time visibility on all their operations across the globe. Deliver outstanding customer service and increase your value as a logistics partner.

Core business

Supply Chain Analytics | NAV Global Technologies

... Supply Chain Analytics | NAV Global ...

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Insights about the Supply Chain Analytics results above

Some interesting numbers and facts about your company results for Supply Chain Analytics

Country with most fitting companiesUnited States
Amount of fitting manufacturers1451
Amount of suitable service providers1488
Average amount of employees1-10
Oldest suiting company2001
Youngest suiting company2020

Geographic distribution of results





Things to know about Supply Chain Analytics

What is Supply Chain Analytics?

Supply Chain Analytics refers to the use of data analysis tools and methodologies to analyze supply chain processes, aiming to improve efficiency, reduce costs, and ensure timely delivery of products and services. This analytical approach encompasses various aspects of the supply chain, including procurement, production, distribution, and logistics. By leveraging big data, predictive analytics, and machine learning algorithms, organizations can gain critical insights into their supply chain operations, enabling them to identify bottlenecks, forecast demand more accurately, and optimize inventory levels. The impact of supply chain analytics is profound, as it facilitates data-driven decision-making, which can significantly enhance operational effectiveness. Companies can anticipate market changes more swiftly, customize their supply chain strategies to meet consumer demands, and maintain a competitive edge in their respective industries. Moreover, this analytical prowess supports sustainability initiatives by improving resource allocation, thus minimizing waste and reducing the environmental footprint of supply chain operations. In essence, supply chain analytics not only streamlines operational processes but also contributes to the strategic growth and sustainability of businesses, making it an indispensable tool in the modern business landscape.

Advantages of Supply Chain Analytics

1. Enhanced Decision Making
Supply Chain Analytics provides real-time data analysis, enabling businesses to make informed decisions swiftly. This immediacy contrasts sharply with traditional methods that often rely on historical data, potentially leading to outdated strategies.

2. Cost Reduction
By identifying inefficiencies within the supply chain, analytics can pinpoint areas of waste and excess. This precise diagnosis allows for targeted interventions, reducing operational costs significantly compared to more generalized cost-cutting measures.

3. Improved Customer Satisfaction
Analytics tools offer insights into customer behavior and preferences, allowing for a more tailored supply chain approach. This personalization can lead to higher satisfaction levels, as customers receive products and services more aligned with their expectations.

4. Risk Mitigation
Supply Chain Analytics enhances risk management by forecasting potential disruptions and their impacts. This predictive capability allows companies to develop contingency plans, ensuring resilience in the face of unforeseen challenges, a stark contrast to reactive strategies.

How to select right Supply Chain Analytics supplier?

While evaluating the different suppliers make sure to check the following criteria:

1. Data Integration Capabilities
Ensure the supplier can integrate with a wide range of data sources and types. This flexibility is crucial for comprehensive analytics.

2. Real-time Analytics
The ability to process and analyze data in real-time helps in making timely, informed decisions.

3. Customization and Scalability
The solution should be customizable to fit your specific needs and scalable as your business grows.

4. User-Friendly Interface
A platform that is easy to navigate and understand increases adoption rates among team members.

5. Security Measures
Robust security protocols are essential to protect sensitive supply chain data from breaches.

6. Customer Support and Training
Look for providers offering excellent customer support and training resources to ensure smooth implementation and usage.

7. Cost-Efficiency
Consider the total cost of ownership, including initial costs, subscription fees, and any additional charges for updates or support.

What are common B2B Use-Cases for Supply Chain Analytics?

Supply chain analytics provides invaluable insights for optimizing logistics and forecasting demand. In the manufacturing sector, companies leverage these analytics to predict machinery maintenance needs, minimizing downtime and ensuring continuous production. By analyzing historical machine performance data, manufacturers can schedule preventive maintenance, thus reducing unexpected equipment failures and maintaining operational efficiency. In the retail industry, supply chain analytics are pivotal for inventory management. Retailers use predictive analytics to understand purchasing trends, enabling them to stock products more precisely according to demand. This reduces overstock and understock situations, ensuring that capital isn't tied up in unnecessary inventory and that customer satisfaction remains high due to the availability of products. The pharmaceutical industry utilizes supply chain analytics for regulatory compliance and product traceability. By tracking the movement of drugs from manufacturing to end-users, companies can ensure compliance with global standards and regulations. This traceability also enhances the ability to recall products swiftly in the event of any quality or safety concerns. Lastly, in the agriculture sector, supply chain analytics help in optimizing the distribution of produce. By analyzing weather patterns, crop yields, and market demand, agricultural businesses can better plan the logistics of getting their products to market. This not only reduces waste due to spoilage but also maximizes profitability by ensuring produce reaches the market at the optimal time.

Current Technology Readiness Level (TLR) of Supply Chain Analytics

Supply Chain Analytics, as of the current assessment, predominantly operates at a Technology Readiness Level (TRL) of 7 to 9. This categorization stems from the fact that these technologies have not only been demonstrated in relevant environments, such as pilot-scale production facilities and real-world supply chain operations but have also seen integration and systemic validation. The technical backbone enabling this high TRL includes advanced data analytics, machine learning algorithms, and the Internet of Things (IoT), which facilitate the collection, analysis, and interpretation of vast amounts of data across the supply chain. These technologies have proven their effectiveness in optimizing logistics, forecasting demand, managing inventory, and identifying inefficiencies. The progression to such high TRLs is bolstered by the maturity of cloud computing infrastructure, which supports scalable, secure, and accessible data storage and computation capabilities. Furthermore, the iterative refinement of algorithms through practical application and feedback has refined their predictive accuracy and operational reliability. However, the variation in TRL within this range acknowledges ongoing challenges in interoperability, data privacy, and the customization of solutions to specific industrial contexts, which are being actively addressed through technological advancements and standardization efforts.

What is the Technology Forecast of Supply Chain Analytics?

In the Short-Term, supply chain analytics is poised to leverage the power of real-time data analysis and AI-driven decision-making. Companies will begin to see the integration of Internet of Things (IoT) devices and advanced analytics, enabling more granular tracking of materials, predictive maintenance of equipment, and enhanced inventory management. This phase is marked by the adoption of cloud-based analytics platforms, facilitating improved data accessibility and collaboration across the supply chain. Moving into the Mid-Term, we can expect the emergence of more sophisticated AI models, capable of more accurate demand forecasting and risk management. These advancements will allow for the creation of highly resilient supply chains that can adapt to disruptions with minimal impact. Additionally, blockchain technology will start to play a more significant role, offering greater transparency and security in transactions, further optimizing logistics and procurement processes. In the Long-Term, the focus will shift towards fully autonomous supply chains powered by AI and machine learning. These systems will be capable of self-optimization, continuously analyzing data to improve efficiency, reduce costs, and minimize environmental impact. Augmented reality (AR) and virtual reality (VR) technologies will also be integrated, providing immersive training and operational visualization tools. This era will usher in unprecedented levels of operational efficiency and strategic insight, fundamentally transforming supply chain management.

Frequently asked questions (FAQ) about Supply Chain Analytics Companies

Some interesting questions that has been asked about the results you have just received for Supply Chain Analytics

Based on our calculations related technologies to Supply Chain Analytics are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce

Start-Ups who are working in Supply Chain Analytics are Noos Energy

The most represented industries which are working in Supply Chain Analytics are IT, Software and Services, Logistics, Supply Chain and Transportation, Consulting, Other, Finance and Insurance

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Related categories of Supply Chain Analytics