IoT and edge computing (73)

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Supply chain systems

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Article
Probabilistic forecasting for enhanced demand prediction
Article Probabilistic forecasting for enhanced demand prediction

In today's fast-paced and data-driven world, accurately predicting demand is more critical than ever for businesses aiming to stay competitive. Traditional forecasting methods often provide a single-point estimate, which can be useful but falls short in accounting for the inherent uncertainties and...

Two workers oversee operations in a large, organized warehouse
Article
Building resilient supply chains using robust warehouse and transportation management systems
Article Building resilient supply chains using robust warehouse and transportation management systems

During the pandemic, many manufacturers encountered sudden demand shifts and supply chain disruptions, affecting everything from raw materials to finished products. And until recently, the Baltimore port incident triggered widespread delays in cargo handling, affecting industries from automotive to...

How to capitalize on 2024 supply chain technology trends ebook
Ebook
8 supply chain trends and strategies every manufacturer needs to know
Ebook 8 supply chain trends and strategies every manufacturer needs to know

Unlock supply chain excellence: eight 2024 trends & strategies for manufacturing business. Download eBook.

Integrating contract management supply chain systems concept
Article
Closing the loop: Integrating contract management and supply chain systems for future-ready manufacturing
Article Closing the loop: Integrating contract management and supply chain systems for future-ready manufacturing

Contract manufacturing involves outsourcing production to third-party manufacturers, which allows companies to focus on core competencies such as design, branding, and distribution. The global contract manufacturing market was valued at USD 246.51 billion in 2022 and is expected to reach USD...

Woman navigating in-store inventory to represent Demand sensing and forecasting concept
Article
Retail demand forecasting: Use cases in Retail and Manufacturing
Article Retail demand forecasting: Use cases in Retail and Manufacturing

Demand forecasting is a crucial aspect of retail supply chain management that involves predicting future customer demand to make informed decisions about inventory levels, production, and resource allocation. It is a statistical analysis that considers numerous variables to optimize the predict...

Inventory Allocation Optimization Starter Kit
Demo
Inventory Allocation Optimization
Demo Inventory Allocation Optimization

Grid Dynamics and Dataiku teamed up to create the Inventory Allocation Optimization, which will help you minimize shipping costs, order splits, and stock-outs by optimally allocating inventory across multiple warehouses, distribution centers, or stores. Watch this video demo and learn how to integr...

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Demo
Demand Sensing and Forecasting
Demo Demand Sensing and Forecasting

Discover how the Demand Sensing and Forecasting helps retailers, brands and manufacturers make accurate and comprehensive procurement, transportation, workforce allocation, inventory, pricing, and promotion decisions. Detect market changes, adjust supply chain and inventory strategies, predict futu...

Industry electrification
White Paper
The rise of industry electrification in supply chain and manufacturing: Leveraging AI and digital capabilities
White Paper The rise of industry electrification in supply chain and manufacturing: Leveraging AI and digital capabilities

Embark on a journey into the heart of the electrification revolution with our white paper. As we stand at the precipice of a transformative era, explore the forces propelling electric transportation and smart manufacturing, offering unparalleled opportunities for early adopters. The strategic...

A book cover with the text: Inventory allocation optimization for membership-based wholesale retailers
White Paper
Inventory allocation optimization for membership-based wholesale retailers
White Paper Inventory allocation optimization for membership-based wholesale retailers

In the dynamic realm of supply chain and inventory management, where decisions shape the balance between profit and loss, inventory distribution stands out as a key driver of revenue growth. This white paper explores the strategic significance of optimizing inventory allocation, emphasizing its tra...

Supply chain resilience: a modular framework for sailing through disruption
White Paper
Supply chain resilience: A modular framework for sailing through disruption
White Paper Supply chain resilience: A modular framework for sailing through disruption

Supply chain resilience is key to forecasting and mitigating the disruption of critical operations. This white paper suggests a modular framework for: Viewing technology through the lens of achieving strategic goals, approaching it as a ‘house’ built around organizations’ distinct needs and obj...

Cover for German supply chain
Article
Fulfilling German supply chain due diligence act obligations
Article Fulfilling German supply chain due diligence act obligations

Recent sustainability legislations and regulations make due diligence a business imperative for effective supply chain management. Increasingly, regulations and local government bodies are regulating how enterprises must approach, operate, and report on their supply chain operations, both directl...

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Article
Manufacturing supply chain redesign and reconfiguration for resilience
Article Manufacturing supply chain redesign and reconfiguration for resilience

Can a mere joke trigger a catastrophic product supply shortage? Can mischievous squirrels wreak havoc on large-scale business operations? And what's the connection between beer, road closures, and transportation delays? These may seem like bizarre scenarios (see the postscript at the end of this...

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Article
Supply chain monitoring for proactive supplier risk management
Article Supply chain monitoring for proactive supplier risk management

Given that resilience denotes the capacity to effectively rebound from disruptions, obtaining insight into all the interconnections and processes of the supply chain becomes paramount. In earlier discussions, we have delved into the fundamental data foundations that lay the groundwork for establi...

sustainability supply chain connected boxes
Article
Supply chain sustainability: ESG path to manufacturing resilience
Article Supply chain sustainability: ESG path to manufacturing resilience

Recent years have brought new challenges that require manufacturers to rethink their priorities, with supply chain sustainability unquestionably topping the list. Environmental, social, and governance (ESG) frameworks not only entice companies with the promise of sustainable value, but also deman...

Metal containers and umbrellas
Article
Why supply chain cyber security is essential for resilience
Article Why supply chain cyber security is essential for resilience

Supply chain cyber security risks have become more complex than ever, with attack surfaces increasing due to the involvement of more suppliers and vendors in sensitive data operations. Consequently, supply chain cybersecurity must adapt to and protect against new infiltration mechanisms, resource...

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Article
Supply chain resilience starts with data
Article Supply chain resilience starts with data

Achieving supply chain resilience, especially since disruptions have become an inevitable part of business operations, is an overarching priority for any manufacturing organization today. Reaching this goal, however, is not straightforward, and is full of risks. To prevent these risks, manufacturer...

Containers to illustrate supply chain control tower
Article
A guide to supply chain control tower use cases
Article A guide to supply chain control tower use cases

The quality of various strategic and tactical decisions, such as capacity planning, supplier selection, and inventory ordering, directly influences the efficiency and resilience of a supply chain. Limited visibility into various stages of the supply chain, insufficient data availability, and lack...

Abstract image hinting on pharmaceutical molecular operations
Article
KPIs for pharmaceutical manufacturing operations
Article KPIs for pharmaceutical manufacturing operations

Increasing customer expectations, disruption of operations, and intense competition have placed the entire manufacturing industry under pressure. Pharma manufacturing, in particular, faces extremely complex supply chain management processes that require commercial pharma companies to monitor and un...

From chaos to control
Article
From chaos to control: The benefits of inventory allocation optimization
Article From chaos to control: The benefits of inventory allocation optimization

As businesses grow and expand in the increasingly digital on-demand economy, managing inventory has become a far more convoluted process. For example, many retail and manufacturing companies have to deal with complex environments with multiple sourcing locations, including regio...

From design to delivery cover
Article
From design to delivery: The role of artificial intelligence in the automotive industry
Article From design to delivery: The role of artificial intelligence in the automotive industry

Automotive manufacturers are embracing AI technology to gain a competitive advantage in the market. Gartner predicts that by 2026, 75% of large enterprises will have adopted some form of robotics in their warehouse operations. Additionally, 25% of manufacturers will have transitioned by then to a...

Inventory allocation optimization
Article
Inventory allocation optimization: A pre-built solution for Dataiku
Article Inventory allocation optimization: A pre-built solution for Dataiku

Inventory optimization encompasses the process of determining the optimal level of inventory to hold that balances the cost of holding the inventory with the cost of inventory stockouts. Holding too much inventory can lead to increased storage costs, spoilage, and poor turnover metrics. On the...

Streamlining the supply chain: Strategies for optimal grocery retail operations
Article
Streamlining the supply chain: Strategies for optimal grocery retail operations
Article Streamlining the supply chain: Strategies for optimal grocery retail operations

If the chaos and uncertainty of the past few years has taught supply chain leaders in the grocery retail chain sector anything, it’s that leveraging the capabilities of artificial intelligence (AI) and advanced analytics in the cloud can help them to maintain a competitive advantage in the global m...

Optimization of order and inventory sourcing decisions in supply chains with multiple nodes, carriers, shipment options, and products
Article
Optimization of order and inventory sourcing decisions in supply chains with multiple nodes, carriers, shipment options, and products
Article Optimization of order and inventory sourcing decisions in supply chains with multiple nodes, carriers, shipment options, and products

Order sourcing decisions can be defined as the logistics decisions related to how customer orders and internal inventory requisitions are fulfilled: what nodes (warehouses, distribution centers, stores, etc.) the inventory should be sourced from, what carriers should be used to ship it, what sh...

How explainable AI helped reduce warehouse order picking time by 1/4
Article
How explainable AI helped reduce warehouse order picking time by 1/4
Article How explainable AI helped reduce warehouse order picking time by 1/4

Optimizing internal warehouse delivery processes, especially enhancing the efficiency and speed of the order picking process, has a massively positive impact on business profitability, if done correctly. There are two components of the order picking process that need to be optimized in order to...

Supply chain and inventory
Solution Brief
Supply chain and inventory
Solution Brief Supply chain and inventory

Whether it’s pandemic, war, or climate change, there have been and will continue to be crises that impact the smooth running of supply chain and inventory management processes for businesses across industries. To mitigate risk, streamline processes, and prepare for the future, leading Grid Dynamics...

Reimagining resilience: supply chain optimization for smart manufacturing
White Paper
Reimagining resilience: Supply chain optimization for smart manufacturing
White Paper Reimagining resilience: Supply chain optimization for smart manufacturing

The past few years have put supply chain logistics to the ultimate test. Whether it’s pandemic, war, or climate change - there have been and will continue to be crises which impact not only manufacturing supply chains but also their consumers around the world. And while no industry can predict when...

Ship from store and save
Article
Ship from store and save
Article Ship from store and save

As the world undergoes the digital transformations, accelerated by the global pandemics, omnichannel shopping experience becomes a new norm. Ship from Store turns out to be an important step on the path of establishing effective and convenient retail practice. But the transformation bri...

Multi-agent deep reinforcement learning for multi-echelon supply chain optimization
Article
Multi-agent deep reinforcement learning for multi-echelon supply chain optimization
Article Multi-agent deep reinforcement learning for multi-echelon supply chain optimization

Supply chain optimization is one the toughest challenges among all enterprise applications of data science and ML. This challenge is rooted in the complexity of supply chain networks that generally require to optimize decisions for multiple layers (echelons) of distribution centers and suppliers, m...

A Rapid Response to COVID-19 Supply Chain and Market Shocks
White Paper
A rapid response to COVID-19 supply chain and market shocks
White Paper A rapid response to COVID-19 supply chain and market shocks

In this white paper, we provide practical recommendations to technology and business leaders on how advanced data analytics and engineering capabilities can be leveraged to rapidly and efficiently respond to the COVID-19 disruption. These recommendations are largely based on early examples of respo...

A rapid response to COVID-19 
supply chain and market shocks: Emerge from the crisis stronger
Article
A rapid response to COVID-19 supply chain and market shocks: Emerge from the crisis stronger
Article A rapid response to COVID-19 supply chain and market shocks: Emerge from the crisis stronger

The COVID-19 crisis is clearly the biggest economic disruption the world has seen in the 21st century. This disruption impacts virtually all industries and all areas of enterprise operations through market demand, supply chain, and human capital. The adverse impact of the COVID-19 pandemic and p...

Deep reinforcement learning for supply chain and price optimization
Article
Deep reinforcement learning for supply chain and price optimization
Article Deep reinforcement learning for supply chain and price optimization

Supply chain and price management were among the first areas of enterprise operations that adopted data science and combinatorial optimization methods and have a long history of using these techniques with great success. Although a wide range of traditional optimization methods are available for in...

Will “Database as a Service” work for retail inventory management? A case study
Article
Will “Database as a Service” work for retail inventory management? A case study
Article Will “Database as a Service” work for retail inventory management? A case study

A global retail company faced the challenge of bringing their inventory management system to the cloud. The company required their new cloud-based solution to include online and store inventory in all geographical regions, and deliver a fast and consistent database performance within each region. T...

Safety stock optimization for Ship-from-Store
Article
Safety stock optimization for ship-from-store
Article Safety stock optimization for ship-from-store

Speed of delivery is one of the key success factors in online retail. Retailers fiercely compete with each other in this space, implementing new order fulfillment options such as Same-Day Shipping, Buy Online Pick Up in Store (BOPUS) and Ship from Store (SFS). These capabilities help to both improv...

IoT and edge platforms

isometric picture of a warehouse
Demo
Intralogistics Optimization
Demo Intralogistics Optimization

Optimize your warehouse operations with the Intralogistics Optimization Starter Kit. The platform creates digital twins of your current environment, enabling you to test layout modifications, workflow improvements, and resource allocation changes before physical implementation. Analyze real-time da...

abstract image of iot control tower
Demo
IoT Control Tower
Demo IoT Control Tower

The IoT Control Tower is a robust analytics platform designed to address the complexities of modern industrial operations. Leveraging agentic AI, it integrates real-time IoT data with domain knowledge to deliver actionable insights and operational guidance. Core capabilities include anomaly detecti...

AI-powered camera with digital interface
Demo
AI for Visual Process Monitoring
Demo AI for Visual Process Monitoring

Discover how the AI for Visual Process Monitoring Starter Kit from Grid Dynamics transforms operational efficiency. Learn how this AI-powered solution leverages Vision Language Models (VLMs) to enable real-time monitoring of retail, logistics, and manufacturing processes. Explore its ability to ana...

Cover of Grid Dynamics white paper on IoT and AI for embedded insurance products, featuring a modern glass home in the rain.
White Paper
Harnessing IoT and AI for personalized and dynamic embedded insurance products
White Paper Harnessing IoT and AI for personalized and dynamic embedded insurance products

With the deluge of data dominating the insurance sector today, traditional insurance models are struggling to keep up with evolving customer needs and technological advancements. Enter embedded insurance—a game-changing approach that seamlessly integrates coverage into products and services at the...

Manufacturing trends for 2024 ebook
Ebook
Manufacturing trends for 2024
Ebook Manufacturing trends for 2024

How AI, connectivity, automation, security, resilience, and personalization are redefining the potential of manufacturing Download EBOOK Our call to action is clear: embrace the lasting trend...

electric vehicle innovation concept
Article
Software-led transformation of modern automobiles
Article Software-led transformation of modern automobiles

In the ever-evolving landscape of transportation, modern Electric Vehicles (EVs) and Hybrid Electric Vehicles (HEVs) have transcended traditional notions of mobility. Beyond mere modes of transportation, these vehicles have emerged as platforms for innovation, where cutting-edge technologies redefi...

Exploring the transformative impact of generative AI in manufacturing
White Paper
Exploring the transformative impact of generative AI in manufacturing
White Paper Exploring the transformative impact of generative AI in manufacturing

In our fast-paced world of ever-evolving technologies, manufacturing leaders are redefining their strategies to focus on delivering optimum value to customers. In this white paper, we delve into the revolutionary power of generative AI and its profound impact on the manufacturing industry.Gone are...

Optimised manufacturing process
White Paper
5-step strategy for IT/OT cloud cost optimization in manufacturing
White Paper 5-step strategy for IT/OT cloud cost optimization in manufacturing

2023 continues to be a challenging year for manufacturers, with ongoing supply chain disruptions, economic and geopolitical shifts, as well as talent shortages adding to the anticipated hurdles. This white paper dives into the why and how of strategic cost optimization for the manufacturing Informa...

additive manufacturing
Article
Visual quality control in additive manufacturing: Building a complete pipeline
Article Visual quality control in additive manufacturing: Building a complete pipeline

Automated visual quality control (VQC) is a critically important capability for many manufacturers because it helps to dramatically reduce quality control costs, waste, return rates, and reputation damage. Modern computer vision technologies make it relatively easy to develop custom VQC solutions...

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Article
IoT platform: A starter kit for Azure
Article IoT platform: A starter kit for Azure

Industrial IoT (IIoT) has become mainstream in a broad range of industries, including manufacturing, supply chain, logistics, energy, smart cities, and agriculture. IoT solutions enable intelligent decision-making for use cases such as predictive maintenance, visual quality control, and anomaly det...

Smart manufacturing: Navigating change management, automation, and governance in the cloud
Article
Smart manufacturing: Navigating change management, automation, and governance in the cloud
Article Smart manufacturing: Navigating change management, automation, and governance in the cloud

Cloud technologies are increasingly becoming the way to set IT infrastructure across various sectors. Today, many businesses opt for a cloud-first strategy for deploying their software, applications, and databases, rather than relying on traditional on-premises systems. In fact, over the past se...

Building a Visual Quality Control solution in Google Cloud using Vertex AI
Article
Building a visual quality control solution in Google Cloud using Vertex AI
Article Building a visual quality control solution in Google Cloud using Vertex AI

The effectiveness and efficiency of quality control processes are among the top concerns for most manufacturing companies, and are also important considerations in logistics, agriculture, and other verticals. Over the last decade, visual quality control automation using computer vision has proved t...

Building an IoT Platform in GCP: A Starter Kit
Article
Building an IoT platform in GCP: A starter kit
Article Building an IoT platform in GCP: A starter kit

Over the past decade, the complexity of manufacturing processes and assembly lines have significantly increased. Whereas in the past, businesses relied on linear assembly lines, today’s assembly lines can produce customized products, as seen in the automotive industry. However, introducing customiz...

IoT Platform: A Starter Kit for AWS
Article
IoT platform: A starter kit for AWS
Article IoT platform: A starter kit for AWS

The global market for the Internet of Things (IoT) is expected to reach $413.7 billion by 2031, according to a recent report published by Allied Market Research. The key industries driving this growth include manufacturing, supply chain and logistics, energy, and smart cities. The digital transform...

Visual Quality Control with AWS Lookout for Vision
Article
Visual quality control with AWS Lookout for Vision
Article Visual quality control with AWS Lookout for Vision

Originally published on the AWS Partner Network blog Conveyor belts are an essential material handling tool for various industrial processes, and one of the most effective ways to quickly and continuously transport large amounts of materials or products. However, high throughput rates make i...

Building a Predictive Maintenance Solution Using AWS AutoML and No-code Tools
Article
Building a predictive maintenance solution using AWS AutoML and no-code tools
Article Building a predictive maintenance solution using AWS AutoML and no-code tools

Originally published on the AWS Partner Network blog Industrial machine, equipment, and vehicle operators are often faced with the challenge of minimizing maintenance costs under strict constraints related to safety, equipment downtime, and other SLAs. Over-sufficient or preventive maintenan...

Capturing the value of IoT across industries
Article
Capturing the value of IoT across industries
Article Capturing the value of IoT across industries

The Internet of Things (IoT), which was merely a concept a few years ago, has now become one of the major disruptors across industries. Its implications are profound and far-reaching: from optimization of operations and effective management of physical assets to improving the health and general w...

side view woman working digital monitors
Article
AI-powered risk prevention in the P&C insurance industry
Article AI-powered risk prevention in the P&C insurance industry

In the past decade, an estimated 2.6 billion people’s lives have been upended by catastrophic events such as tsunamis, earthquakes, floods, and pandemics. Such events wreak havoc not only on people’s everyday life, but also on business and trade, sending the global economy into a tailspin. So...

How anomaly detection, predictive maintenance, and visual quality control save time and money
Article
How anomaly detection, predictive maintenance, and visual quality control save time and money
Article How anomaly detection, predictive maintenance, and visual quality control save time and money

As we see with more significant frequency across many industries, companies that invest in emerging technologies can gain a competitive advantage. Just a few of the many benefits include optimizing productivity and operations, improving employee and customer satisfaction, reducing errors, and mitig...

How insurtechs are transforming the insurance industry
Article
How insurtechs are transforming the insurance industry
Article How insurtechs are transforming the insurance industry

The insurance industry is constantly changing due to emerging disruptions, shifting demographics, and new entrants, forcing traditional players to adapt. Each time there's a major leap in technology, customers expect the industry to respond with new products, new methods of distribution and new w...

Quality 4.0: reimagining AI-powered quality control for smart manufacturing
White Paper
Quality 4.0: Reimagining AI-powered quality control for smart manufacturing
White Paper Quality 4.0: Reimagining AI-powered quality control for smart manufacturing

A smart manufacturing approach that harnesses the power of artificial intelligence (AI) and quality control automation results in a faster, more efficient and cost-effective production chain. But how does it work, how valuable is it, and what technology foundations need to be in place for best resu...

Anomaly detection in industrial IoT data using Google Vertex AI: A reference notebook
Article
Anomaly detection in industrial IoT data using Google Vertex AI: A reference notebook
Article Anomaly detection in industrial IoT data using Google Vertex AI: A reference notebook

Modern manufacturing, transportation, and energy companies routinely operate thousands of machines and perform hundreds of quality checks at different stages of their production and distribution processes. Industrial sensors and IoT devices enable these companies to collect comprehensive real-t...

Smart manufacturing from the factory floor to the customer's door
Article
Smart manufacturing from the factory floor to the customer’s door
Article Smart manufacturing from the factory floor to the customer’s door

Manufacturers are embracing AI technology to gain a competitive advantage over the market. Gartner predicts that by 2026, 75% of large enterprises will have adopted some form of robotics in their warehouse operations. Additionally, 25% of manufacturers will have transitioned by then to a micros...

Smart Manufacturing and IoT
Solution Brief
Smart manufacturing and IoT
Solution Brief Smart manufacturing and IoT

Unplanned downtime, product defects and compliance issues are expensive. It costs industrial manufacturers billions annually, and for industries across the board, it is one of the largest causes of lost productivity and revenue. To overcome these challenges, leading manufacturers are using AI-power...

Detecting anomalies in high-dimensional IoT data using hierarchical decomposition and one-class learning
Article
Detecting anomalies in high-dimensional IoT data using hierarchical decomposition and one-class learning
Article Detecting anomalies in high-dimensional IoT data using hierarchical decomposition and one-class learning

Automated health monitoring, including anomaly/fault detection, is an absolutely necessary attribute of any modern industrial system. Problems of this sort are usually solved through algorithmic processing of data from a great number of physical sensors installed in various equipment. A broad range...

Grid Dynamics Analytics Platform for smart manufacturing: A Jabil case study
Case Study
Grid Dynamics analytics platform for smart manufacturing: A Jabil case study
Case Study Grid Dynamics analytics platform for smart manufacturing: A Jabil case study

On their quest to future-proof their smart manufacturing operations and create a more connected, predictable environment, Jabil Inc, a leading global manufacturing solutions provider, required a cloud-native data platform to meet these goals. Grid Dynamics, partnering with AWS, took the task hea...

Top 3 manufacturing trends in 2022: Accelerating smart manufacturing
White Paper
Top 3 manufacturing trends in 2022: Accelerating smart manufacturing
White Paper Top 3 manufacturing trends in 2022: Accelerating smart manufacturing

Three post-pandemic technology trends have emerged as particularly critical for smart manufacturers to address in 2022 and beyond: Implementing a refreshed, customer-centric digital go-to-market strategy to more effectively target B2B and D2C customer segments. Improving supply chain agil...

Anomaly detection in industrial applications: solution design methodology
Article
Anomaly detection in industrial applications: Solution design methodology
Article Anomaly detection in industrial applications: Solution design methodology

Modern technical systems cannot operate optimally without special tools for health monitoring, fault detection, and predictive maintenance. This is the case even for relatively simple systems, such as a service elevator. As for more complex industrial systems - like a power plant or an assembly lin...

Loss Prevention with AI-powered IoT analytics platform on AWS
Case Study
Loss prevention with AI-powered IoT analytics platform on AWS
Case Study Loss prevention with AI-powered IoT analytics platform on AWS

A global industrial technology leader in transportation and mobility faced multimillion-dollar annual losses from fuel distribution challenges, including leaks, theft, and meter inaccuracies. By deploying a cloud-native AWS analytics platform in just seven days, the company implemented AI-powered a...

Anomaly Detection for Industry 4.0
White Paper
Anomaly detection for Industry 4.0
White Paper Anomaly detection for Industry 4.0

The modern manufacturing industry is almost miraculous in how it manages so many moving components at a predictable and reliable cadence. However, despite this obsession with perfection, anomalies have a way of creeping in. Technical failures, human error, and other discrepancies can lead to sig...

What Are the Key Challenges in Wearable Device Testing?
Article
What are the key challenges in wearable device testing?
Article What are the key challenges in wearable device testing?

The emergence of wearable devices brought with it a range of new challenges for companies and their quality assurance engineers. Because it is a relatively new space, companies need to ensure they can deliver new applications on wearables and provide a great experience for the end users or other bu...

Add anomaly detection to your data with Grid Dynamics Starter Kit
Article
Add anomaly detection to your data with Grid Dynamics starter kit
Article Add anomaly detection to your data with Grid Dynamics starter kit

Modern businesses in e-commerce, banking, insurance, manufacturing and many other areas generate huge amounts of data every day. Effectively utilizing that data helps increase business value by making the right decisions at the right time based on insights generated from targeted data analytics....

Unsupervised real time anomaly detection
Article
Unsupervised real time anomaly detection
Article Unsupervised real time anomaly detection

Most modern application systems consist of multiple middleware components. This includes databases, queues, search engines, storage, caches, and in-memory data grids, identity services, etc. They also include multiple stateful or stateless microservices and mobile application proxies — all connecte...

Pricing and promotion analytics

A man stands by a shopping cart, surrounded by floating abstract geometric shapes.
Demo
AI-Assisted Price Management and Optimization
Demo AI-Assisted Price Management and Optimization

Explore how the AI-assisted Price Management and Optimization can improve the quality of your pricing decisions and workflow automation. You'll learn how to optimize list prices for individual and multiple SKUs based on volume or profit objectives and accounting for cannibalization, halo, and pull-...

Price and Promotion Optimization
Solution Brief
Price and promotion optimization
Solution Brief Price and promotion optimization

Stiff market competition and tough economic strains are putting pressure on businesses to find data-driven solutions for more informed decision-making. Optimize pricing decisions with mathematical precision, automate price management processes, reduce operational costs, measure the true impact of p...

The Adoption of AI for Price and Promotion Management In Retail and Manufacturing
White Paper
The adoption of AI for price and promotion management in retail and manufacturing
White Paper The adoption of AI for price and promotion management in retail and manufacturing

This report is based on a survey of marketing, merchandising, and pricing directors and executives and aims to assess their priorities, challenges, and plans with regard to decision automation in the area of revenue management. The main topics of this study include the following: What are the...

A guide to dynamic pricing algorithms
Article
A guide to dynamic pricing algorithms
Article A guide to dynamic pricing algorithms

Price setting is one of the most important problems in retail because any price setting error directly results in lost profit. However, traditional price management methods almost never achieve optimal pricing because they are designed for traditional environments, where the frequency of price chan...

Algorithmic pricing, part III: implementation blueprint
Article
Algorithmic pricing, part III: Implementation blueprint
Article Algorithmic pricing, part III: Implementation blueprint

This is the third post in a series of articles on AI/ML-based decision automation in retail price management, this time focusing on implementation and technology. The automation of pricing decisions is a challenging task that requires a software system to understand business objectives and constrai...

Algorithmic pricing, part II: AI and pricing strategy
Article
Algorithmic pricing, part II: AI and pricing strategy
Article Algorithmic pricing, part II: AI and pricing strategy

AI-based decision automation is particularly beneficial when a large number of decisions must be made in near real time and need to take a wide range of signals into account. Additionally, these decision-making components have to be aligned with the pricing strategy and integrated into the price...

Algorithmic pricing, part I: the risks and opportunities
Article
Algorithmic pricing, part I: The risks and opportunities
Article Algorithmic pricing, part I: The risks and opportunities

AI has great potential to transform or even disrupt enterprise operations, and price management is among the most important business functions that directly affect enterprise profitability and efficiency. The impact of artificial intelligence (AI) technologies on the price management process is not...

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Agentic AI cover
White Paper
Agentic AI: The next evolution in enterprise automation
White Paper Agentic AI: The next evolution in enterprise automation

Ready to transform your enterprise with adaptive, AI-driven automation? Download our complete white paper to discover how Agentic AI can drive operational efficiency, enhance customer experience, and boost revenue growth for your organization. In an era where speed, operational excellence, a...

Cube emitting colorful data points, with blue, red, and gold light particles streaming upward against a black background, representing data transformation and AI capabilities.
Article
Data as a product: The missing link in your AI-readiness strategy
Article Data as a product: The missing link in your AI-readiness strategy

Most enterprise leaders dip their toe into AI, only to realize their data isn’t ready—whether that means insufficient data, legacy data formats, lack of data accessibility, or poorly performing data infrastructure. In fact, Gartner predicts that through 2026, organizations will abandon 60% of AI pr...

Top five AI trends for 2025
Ebook
Top five AI trends for 2025
Ebook Top five AI trends for 2025

Discover the AI trends set to reshape businesses in 2025—boosting efficiency, driving innovation, and transforming industries to stay ahead in a fast-changing world.

Giant cellphone with ecommerce site and man shopping online
White Paper
Reimagining product discovery ROI with Google Cloud
White Paper Reimagining product discovery ROI with Google Cloud

As consumerism inevitably evolves, retailers must find new ways to understand their customers and refine their digital and in-store experiences. At the heart of this evolution is an AI-powered eCommerce platform with AI search, enriched product catalogs, and precision merchandising—key elements...

abstract image of iot control tower
Demo
IoT Control Tower
Demo IoT Control Tower

The IoT Control Tower is a robust analytics platform designed to address the complexities of modern industrial operations. Leveraging agentic AI, it integrates real-time IoT data with domain knowledge to deliver actionable insights and operational guidance. Core capabilities include anomaly detecti...

Virtual model wearing a series of different clothing items to represent virtual try-on capabilities
Article
Digital dressing rooms: How generative AI is redefining virtual try-ons
Article Digital dressing rooms: How generative AI is redefining virtual try-ons

Have you come across a retail marketing message lately that states, 'Bring the fitting room home and find what you love'? Many retail brands today showcase their customer-first mindset through 'try before you buy' experiences, allowing customers to order products online, try everything, and return...

A male basketball player with ASICS shoes jumping in the air with a basketball in his hand
Case Study
How an iconic sports brand won gold in CMS modernization
Case Study How an iconic sports brand won gold in CMS modernization

Grid Dynamics won the 2024 Contentstack Experience Award for Most Innovative Project by empowering this global sports brand to rapidly deliver personalized digital experiences. When a leading sporting goods retailer with a global footprint faced challenges with its outdated content managemen...

White Paper
Structured products: Harnessing AI-driven digitalization
White Paper Structured products: Harnessing AI-driven digitalization

Structured products are tailored financial instruments that combine traditional securities like bonds or stocks with one or more derivative components, offering investors customized risk-return profiles that standard investments can't match. Currently, the industry is at a technological...

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Demo
Development Innovation Canvas
Demo Development Innovation Canvas

Experience the future of software development with Creative Canvas, where human engineers orchestrate a team of specialized AI agents to build sophisticated applications at unprecedented speed. Watch as our demo showcases the development of a Customer Data Platform (CDP) through seamless collaborat...

Tire parameter recognition
Case Study
Revolutionizing tire parameter recognition for a leading automotive manufacturer
Case Study Revolutionizing tire parameter recognition for a leading automotive manufacturer

Discover how we've reshaped tire recognition technology through advanced AI methodologies, leveraging deep learning visual models and seamless integration with Amazon Web Services (AWS). In collaboration with a prominent automotive industry leader, we've addressed the critical need for precise tire...

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    Supply chain monitoring for proactive supplier risk management

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