IoT and edge computing (86)

Modern enterprises increasingly rely on deep learning to power mission-critical workflows such as global demand forecasting, inventory optimization, supply chain prediction, video-based defect detection, and financial risk modeling. These workloads demonstrate rapidly increasing GPU requirements, g...

Predictive analytics is undergoing a major transformation. This AI demand forecasting model comparison reveals significant performance gaps between traditional and modern approaches. Demand forecasting has long guided decisions in retail and manufacturing, but today’s data volumes and volatility ar...

Tariffs, shifting trade policies, and geopolitical instability have slowed new car sales and made consumers more cautious about big-ticket purchases, but the automotive aftermarket continues to surge. With over 2 billion vehicles on the road and rising demand for preventive maintenance, the industr...

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...

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...

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

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...

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...

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...

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 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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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 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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

Robotics inspection systems, like the one we developed in partnership with SmartRay, address the costly and time-consuming inefficiencies related to complex robotic operations in manufacturing. With SmartRay’s AI robotic inspection platform, you can automate optimized toolpaths for inspection in mi...

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...

How AI, connectivity, automation, security, resilience, and personalization are redefining the potential of manufacturing...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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....

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...

Modern enterprises increasingly rely on deep learning to power mission-critical workflows such as global demand forecasting, inventory optimization, supply chain prediction, video-based defect detection, and financial risk modeling. These workloads demonstrate rapidly increasing GPU requirements, g...

Predictive analytics is undergoing a major transformation. This AI demand forecasting model comparison reveals significant performance gaps between traditional and modern approaches. Demand forecasting has long guided decisions in retail and manufacturing, but today’s data volumes and volatility ar...

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...

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...

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...

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...

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...

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...