5 Best AI Tool for Supply Chain

So you want answers, and you want em’ fast. Here they are:


Quick links for the Best AI Tools

1) Best Overall 🏆

GPT-4

GPT-4 is a large multimodal model (accepting image and text inputs, emitting text outputs).

Read Review

2) Good Plugins🥈

Clarifai

The fastest, production-grade, deep learning AI platform for developers and data scientists.

Read Review

3) Most Features 🥉

DatRobots

DataRobot brings all your generative and predictive workflows together into one powerful platform.

Read Review


So, you are in the market for a supply chain AI.

Ideal, because in this article we have our compilation list for our top picks, and we compare the features and pricing for you. 

If you just want the best choice, we’ve added that right at the top of the article as this was what is most requested by our customers and what we see the best feedback with. So, that’ll be the “can’t go wrong” option. 

Otherwise, feel free to explore all the options we’ve reviewed on the market to find something that might fit you a little better.

Enjoy the list!

What AI Tool would you recommend?

In short, It’s DataRobot

It’s very well rounded, well priced, feature-rich with a large community of support and a very top-notch set of tutorials for every use case. You can’t go wrong with DataRobot. It’s the number 1 AI software for Supply Chain.

“🚀Try DataRobot For Free, It’s my favorite AI Tool to use and recommend.” -Scott Max

DataRobot, with its advanced machine learning capabilities, is an exceptional AI tool for supply chain optimization. It offers robust predictive analytics, automation, and data-driven insights, enabling businesses to streamline processes, anticipate trends, and mitigate risks effectively.

For more details, read our DataRobot Review.

The Best AI Tool for Supply Chain Specifically 

A premier AI tool for supply chain management should possess features like predictive analytics, real-time data processing, and automated decision-making. It should be robust, scalable, and capable of integrating with existing systems. It should optimize operations and improve efficiency. Explore products below.

1. DataRobot

DataRobot is a pioneering platform in the realm of AI and machine learning, enabling businesses to transform raw data into actionable insights. It represents the forefront of automated machine learning technology, offering a suite of features that simplify and accelerate the process of creating predictive models.

DataRobot Features

Let’s delve into the core functionalities of DataRobot and how these features are shaping the future of data-driven decision-making.

Automated Machine Learning

The crown jewel of DataRobot’s offerings is its automated machine learning capability. This feature enables users to create predictive models without the need for extensive coding knowledge. Simply upload a dataset, and DataRobot automatically tests numerous machine learning algorithms, choosing the best fit for your data. This accelerates the process of model development and lowers the entry barrier to machine learning, democratizing data analytics.

Model Interpretability

DataRobot doesn’t just build predictive models; it also helps users understand them. Its Model Interpretability feature provides clear explanations for model predictions, helping stakeholders understand the decision-making process of the AI. This transparency fosters trust in the AI’s capabilities and supports ethical and accountable use of AI technology.

Data Prep

DataRobot’s Data Prep feature streamlines the often tedious process of preparing data for analysis. The platform can automatically handle tasks such as missing data imputation, outlier detection, and variable transformation. By automating these steps, DataRobot saves users time and ensures that data is appropriately formatted for optimal analysis.

Deployment and Monitoring

A predictive model is only as good as its real-world application, and DataRobot excels in this area. Its Deployment and Monitoring feature allows users to easily implement their models within business processes. It also monitors model performance over time, alerting users to any changes in prediction accuracy or data patterns. This ensures that the AI system remains reliable and effective in changing environments.

Model Optimization

The Model Optimization functionality of DataRobot hones the efficacy of predictive models. It employs hyperparameter tweaking to fine-tune model parameters, aligning them with specific performance indicators. This guarantees that users consistently possess the most precise and streamlined model tailored for their dataset.

DataRobot’s powerful and user-friendly features are revolutionizing the way businesses approach machine learning and data analytics. With its automated machine learning, model interpretability, and deployment features, DataRobot simplifies the process of creating and using predictive models. 

DataRobot Pricing

Get Started With DataRobot🔥

DataRobot’s AI platform is offered as an annual subscription, with customizable pricing plans to meet various business goals. The purchasing process is flexible, with multiple pathways to best suit an organization’s needs. Comprehensive support plans and training via DataRobot University further enhance the platform’s value.

2. Alteryx

Serving as a trailblazer in the data analytics sector, Alteryx furnishes enterprises with the capacity to fully exploit their data resources. Its design combines a straightforward interface with a potent suite of tools, adeptly serving the needs of data scientists and business professionals alike.

Alteryx Features

This harmonious blend of user-friendly and high-powered features renders Alteryx a flexible choice in the realm of data analytics. Now, let’s delve into the core functionalities that elevate Alteryx in the arena of data analytics.

Data Blending and Preparation

Alteryx shines when it comes to data blending and preparation. Its drag-and-drop interface allows users to easily import, clean, transform, and merge data from a variety of sources. The platform supports data from Excel spreadsheets to big data sets from SQL Server and Oracle databases, providing the flexibility businesses need to handle diverse data.

Sophisticated Analytical Capabilities

Alteryx goes beyond basic data preparation by providing a comprehensive array of advanced analytical instruments. Users have the capability to construct statistical, forecasting, and geospatial models without the requirement for coding. For more intricate use-cases, Alteryx allows seamless incorporation with R and Python, equipping users with the ability to utilize these robust programming languages within their analytical workflows.

Automation and Scheduling

With Alteryx, repetitive tasks can be automated, freeing up analysts to focus on strategic tasks. The platform allows users to build workflows that can be scheduled to run at specified times, ensuring data is always up-to-date. This feature enhances efficiency and reduces the chances of human error.

Data Cataloging

Alteryx’s data cataloging feature helps organizations manage and understand their data. Users can document data sources, maintain metadata, and track data lineage. This improves data governance and helps businesses ensure their data is reliable, accurate, and compliant with regulations.

Visualytics

Visualytics is Alteryx’s inbuilt data visualization feature. It allows users to create dashboards and interactive visuals, making it easier to understand and present data insights. This feature helps bridge the gap between data analysts and business decision-makers, enabling data-driven decision-making across the organization.

Alteryx offers a comprehensive feature set that addresses the full data analytics lifecycle, from data prep to advanced analytics and visualization. Its user-friendly interface makes it accessible to users of all skill levels, while its advanced capabilities ensure it can handle the most complex data scenarios.

Alteryx Pricing

Get Started With Alteryx🔥

Alteryx’s pricing structure is designed to automate every aspect of analytics and business cases, with the goal of achieving significant outcomes swiftly. Their Designer Cloud product begins at $4,950 USD, while the Designer Desktop version is priced at $5,195 USD. For larger teams and other products, Alteryx encourages customers to get in touch for personalized pricing information.

3. Amazon SageMaker

Amazon SageMaker, a product of Amazon Web Services (AWS), is a comprehensive solution that allows developers and data researchers to swiftly and effectively construct, refine, and implement machine learning models. This potent instrument presents a wide array of sturdy capabilities that simplify the comprehensive machine learning pipeline, from establishing models to implementing them on a large scale.

Amazon SageMaker Features

Here are some exclusive features of Amazon SageMaker:

User-Friendly Interface

Amazon SageMaker shines with its user-centric design that promotes ease of use. Through SageMaker Studio, an all-in-one integrated development environment for machine learning, users have access to all the tools necessary for creating and deploying models. The unified visual interface eliminates the need to switch between tools and services, making the process more streamlined and efficient.

Flexible Training Options

With Amazon SageMaker, users can choose from a broad selection of pre-built algorithms, tailor-made for different problem types and data sets. Additionally, it supports popular machine learning frameworks, allowing users to bring their custom algorithms. This flexibility enables users to pick the right tool for their unique requirements, thereby optimizing the model’s effectiveness.

Scalable Model Deployment

Deployment is made easy with SageMaker. It facilitates the quick roll-out of trained models into production with a single click. Furthermore, it allows for the deployment of models at any scale while ensuring lower latency and high throughput. This scalability coupled with auto-tuning capabilities helps users adapt to varying workloads seamlessly.

Robust Security and Compliance

Security and compliance are a top priority with Amazon SageMaker. The service ensures data privacy by providing encryption options at rest and in transit. It also complies with critical industry-standard certifications, delivering peace of mind to users who handle sensitive data.

Automated Hyperparameter Tuning

A standout feature of Amazon SageMaker is its automated hyperparameter tuning. This feature helps optimize model’s performance by automatically adjusting machine learning parameters. This cuts down on the guesswork and manual labor typically required, resulting in faster, more efficient model development.

In conclusion, Amazon SageMaker is a feature-rich platform that offers a wide array of tools to simplify and accelerate the machine learning process. Whether for individual developers or large-scale teams, SageMaker delivers capabilities that streamline the journey from idea to production.

Amazon SageMaker Pricing

The cost of using Amazon SageMaker depends on the specific services utilized and the duration of their use. There are no initial costs or obligations; you only pay for what you utilize.

Get Started With Amazon Sagemaker🔥

The pricing differs across regions and is split into three main segments: SageMaker Studio Notebook, SageMaker Processing Jobs, and SageMaker ML Instances. Each segment follows its own cost framework according to the type of instance and its usage. Moreover, AWS provides a complimentary tier for SageMaker, allowing novices to acquaint themselves with the platform.

4. GPT-4

In the realm of artificial intelligence, GPT-4 has emerged as a colossal leap forward, exemplifying the potential of machine learning in understanding and generating human language.

This powerful language model, developed by OpenAI, pushes the boundaries of what AI can achieve, demonstrating remarkable sophistication in handling diverse and complex language tasks.

GPT-4 Features

The array of features that GPT-4 brings to the table makes it an invaluable tool across various domains, from content creation and translation to customer service and more.

Superior Language Understanding

One of GPT-4’s standout features is its deep comprehension of human language. It’s not merely about recognizing words and phrases; GPT-4 grasps the nuances, context, and intricacies that define human language. This level of understanding allows it to generate responses that align with the given context, emulate human-like conversation, and even respond to complex queries, making it an essential tool for a broad array of applications.

Advanced Text Generation

When it comes to generating text, GPT-4 is in a league of its own. It’s capable of creating highly coherent, contextually relevant, and grammatically correct content. This feature finds utility in diverse areas like drafting emails, creating articles, or even generating creative content like poetry or stories. GPT-4’s impressive text generation ability makes it a significant asset for content creators and businesses alike.

Multilingual Capabilities

GPT-4’s prowess extends beyond English, with support for multiple languages. This feature expands its utility on a global scale, making it a versatile tool for international communication, content translation, and multilingual customer support.

Contextual Learning and Adaptation

GPT-4 learns and adapts based on the data it’s trained on. This means it can understand various writing styles, adapt to specific contexts, and even mimic particular tones or writing styles when generating text.

Real-Time Interaction

GPT-4 supports real-time interaction, making it an excellent tool for chatbots and customer service applications. Its ability to understand queries and respond in a human-like manner can significantly enhance user experiences.

GPT-4 represents a significant stride in AI language models, offering a suite of features that enable a wide range of applications. Its profound understanding of language, advanced text generation abilities, and adaptability make it an influential tool in today’s AI-driven world.

GPT-4 Pricing

OpenAI’s GPT-4 offers a broad general knowledge base and domain expertise, allowing it to follow complex instructions and solve difficult problems with accuracy.

The pricing structure for GPT-4 is based on the context size and the number of tokens used.

For an 8K context, it costs $0.03 per 1K tokens for the prompt and $0.06 per 1K tokens for the completion. For a 32K context, the cost is $0.06 per 1K tokens for the prompt and $0.12 per 1K tokens for the completion.

Additionally, you can buy the GPT+ subscription for $20/month. However, it comes with a chat limit of upto 25 messages/3 hours.

Get started with GPT-4🔥

5. Google Tensorflow

Google TensorFlow is a highly versatile open-source machine learning framework that has become a go-to resource for data scientists, researchers, and developers around the globe. TensorFlow’s robust functionality, scalability, and flexibility make it suitable for a wide range of tasks, from research prototyping to production deployment. Here are some of the notable features that make TensorFlow stand out:

Google Tensorflow Features

1. Versatility and Flexibility:

TensorFlow supports a wide array of algorithms and models, from basic linear regression to complex deep learning models. It provides developers with the flexibility to design and deploy models in various environments, whether on mobile devices, single servers, or large-scale, distributed systems. This adaptability means TensorFlow can be used in many different scenarios and industries.

2. Robust ML Production Anywhere:

TensorFlow is designed to accommodate both research and production needs. With TensorFlow Extended (TFX), a production-ready ML platform, developers can create reliable and reproducible ML pipelines. TensorFlow also supports deployment in JavaScript environments with TensorFlow.js and on mobile and edge devices with TensorFlow Lite. This cross-platform compatibility allows ML models to run anywhere.

3. TensorFlow Hub:

The TensorFlow Hub is a library for reusable machine learning modules. It allows developers to share and use pre-trained models, fostering faster development and reducing the need for extensive computational resources. This reusability feature helps to promote a more collaborative and efficient ML community.

4. Eager Execution:

Eager Execution is a feature that allows operations to compute immediately as they are called within Python. This makes TensorFlow more intuitive and easier to debug. It also facilitates more natural control flow, improving the simplicity and versatility of TensorFlow code.

5. TensorBoard:

TensorBoard, TensorFlow’s visualization toolkit, provides a clear, interactive way to understand and debug machine learning models. It allows developers to view graphs, histograms, and other visual representations of their models and metrics, making the development process more transparent and manageable.

6. AutoML and Model Training:

TensorFlow provides powerful tools for model training and automatic machine learning. With TensorFlow’s Keras API, building and training models becomes more accessible. For those looking for more automated processes, TensorFlow’s AutoML provides tools to automatically select the right model and tune hyperparameters.

7. Robust Community and Documentation:

As one of the most popular machine learning libraries, TensorFlow boasts a vibrant community of users and contributors. This community not only continuously improves the library but also provides extensive documentation, tutorials, and resources. This wealth of shared knowledge makes getting started and resolving issues with TensorFlow much easier.

In conclusion, TensorFlow is a powerful, versatile, and comprehensive machine learning library. It offers tools that cater to the needs of everyone from beginners to experienced machine learning practitioners, making it an excellent choice for any machine learning project.

Google Tensorflow Pricing

Google Cloud TensorFlow’s pricing has three primary components: training, prediction, and storage. For training, prices start at $0.015 per hour for simple models, increasing to $0.48 per hour for complex models.

Prediction costs range from $0.004 per prediction for simple models to $0.24 for complex ones. Storage costs start at $0.12 per GB per month and go up to $2.88 per GB per month for large amounts of data.

Pricing models include pay-as-you-go and flat-rate, with three tiers of TensorFlow pricing: basic, standard, and premium. There are also three main pricing plans: Pay As You Go, Monthly Fixed, and Annual Fixed, each designed to suit different usage needs and preferences.

Get Started With Google Tensorflow🔥

Why you need an AI Tool at all?

In today’s digital age, AI tools have become an essential part of many businesses. They bring precision, efficiency, and speed to tasks that are often too complex or time-consuming for humans. AI tools can analyze vast amounts of data quickly, providing valuable insights that enable better decision-making.

They’re capable of learning from experiences, adapting to new information, and predicting future trends, thereby optimizing operations and driving growth. Furthermore, AI tools can automate repetitive tasks, allowing human employees to focus on more strategic work.

This not only improves productivity but also enhances job satisfaction. Thus, employing AI tools is not just a technological advancement; it’s a strategic move towards sustained business growth.

Why you need an AI Tool for Supply Chain?

In today’s competitive business environment, the effective management of supply chains is a key determinant of success. To achieve this, many organizations are increasingly turning towards AI tools, and for a good reason.

AI tools bring unprecedented levels of efficiency and accuracy to supply chain management. They harness the power of data, allowing organizations to understand and predict trends, thus enabling them to plan and react in a timely manner. AI tools can manage vast amounts of data from various sources and analyze it swiftly and accurately, providing insights that human analysts might miss or take too long to discover.

AI’s predictive analytics capabilities can be particularly useful for forecasting demand, helping businesses to optimize inventory levels and avoid both stock-outs and overstock situations. Accurate demand prediction can not only lead to cost savings by reducing unnecessary storage and waste but also improve customer satisfaction by ensuring products are available when needed.

Furthermore, AI tools offer real-time tracking and monitoring of goods. This feature can drastically improve visibility throughout the supply chain, providing stakeholders with vital information about the location and status of their shipments. This results in increased transparency, timely identification of potential issues, and quicker resolution times.

Moreover, AI can automate many routine tasks involved in supply chain management, such as purchase order issuance or invoice processing. This automation can reduce human error, increase efficiency, and free up human resources for more strategic tasks. 

Another compelling reason to use AI in supply chains is risk management. AI tools can identify patterns and trends that might indicate potential risks or disruptions. They can then alert the organization, allowing it to take proactive measures to mitigate these risks.

Finally, as sustainability becomes an increasingly important concern for consumers and regulators, AI can also help organizations build greener supply chains. By optimizing routes, reducing waste, and improving resource utilization, AI can contribute to an organization’s sustainability efforts.

Best AI Tool for Supply Chain, A Conclusion

In conclusion, the adoption of AI tools in supply chain management is no longer a luxury but a necessity. These tools can offer competitive advantages by improving efficiency, accuracy, and visibility, while also helping to manage risks and contribute to sustainability efforts.

DataRobot, with its advanced machine learning capabilities, is an exceptional AI tool for supply chain optimization. It offers robust predictive analytics, automation, and data-driven insights, enabling businesses to streamline processes, anticipate trends, and mitigate risks effectively.

Get started with DataRobot🔥