Managing a warehouse today comes with its fair share of challenges. With the pressure to meet faster delivery times, manage inventory more accurately, and keep costs under control, traditional methods often don’t cut it anymore.   This is where WMS data analytics steps in, offering a game-changing solution. With the power of data, businesses can make

Supply chains today are becoming more complex than ever, with businesses struggling with fluctuating demands, supply disruptions, and rising customer expectations. Traditional methods often fall short in addressing these challenges, leaving companies searching for smarter, more adaptable solutions.    That’s where Blue Yonder comes in—an AI-driven supply chain solution known for its AI-powered, end-to-end platform. Blue

Being a developer isn’t always smooth sailing. You’re constantly switching between tools, tackling tricky troubleshooting, and trying to keep everything secure and compliant. It’s a lot to juggle, and inefficiencies can make it even tougher to stay on top of your game.  That’s where the MOCA Client comes in. Built by Smart IS, this all-in-one

When it comes to Warehouse Management Systems, customization often raises red flags, especially for those who remember the days of heavy software modifications that could turn a helpful system into a support nightmare. Blue Yonder’s WMS is one of the most trusted solutions in the industry, known for its reliability and extensive out-of-the-box features. However,

When supply chains become more complex, warehouse automation becomes essential in maintaining competitiveness and ensuring scalability for future growth. From automated picking systems to real-time inventory tracking, technology reduces reliance on manual labor, all while enhancing productivity. This shift allows warehouse managers to focus more on strategic tasks, such as optimizing workflows and improving customer

Warehouse management plays a pivotal role in the smooth operation of supply chains and the successful delivery of goods. It encompasses storing and handling physical products before they reach their final destinations. This function is indispensable for a variety of business models, from large retail chains to E-Commerce platforms. It’s important to note that the

As a leading platform in digital supply chain management, Blue Yonder has changed the way organizations optimize warehouse operations. It offers an advanced Warehouse Management System (WMS) known for its extensibility and ability to optimize warehouse operations. However, as organizations grow, the need to migrate and upgrade their WMS becomes inevitable.  That is where Smart

 The efficiency and performance of your packaged applications can make or break your business’s competitive edge. Many companies struggle with outdated systems, inefficient performance, and integration complexities, which can impact their growth and efficiency. We at Smart IS understand that supporting and maintaining these crucial systems is more than just a technical task; it is

For the past several years, cloud-based solutions have transformed traditional practices across various industries, including supply chains. One such innovation is the Cloud-Based WMS (Warehouse Management System), which offers a modern approach to managing warehouse operations.   Businesses can utilize the cloud to access real-time data, improve security, and streamline inventory processes without substantial hardware investments. 

When it comes to supply chain management, self-satisfaction is the enemy of growth. No matter how robust your supply chain is, looking for ways to make it more efficient is important. Blue Yonder, the world’s leading supply chain management platform, equips top global brands with state-of-the-art tools to build resilient and agile supply chains.  This

Effective data management and accessibility are critical for maintaining a competitive advantage today. For businesses using the Blue Yonder warehouse management system, meeting the increased demand for real-time data without overwhelming the system with several custom screens and management protocols is a challenge. This is where Smart IS introduces SmartViu which simplifies the challenge by

Blue Yonder is an industry-leading supply chain management solution provider and omnichannel fulfillment platform. It helps over 3,000 global businesses, including industry leaders to streamline their supply chain. Embedded with the latest technologies such as AI and machine learning, the platform offers inventory optimization, real-time visibility, demand forecasting, and automated decision-making capabilities. In this blog

Artificial intelligence (AI) is transforming how industries around the world work, including packaged applications. As AI continues to spread, businesses using systems like SAP, Oracle, and Blue Yonder are facing both opportunities and challenges in integrating AI solutions into their operations. In this blog post, we will explore the role of AI in Packaged Applications,

A robust and efficient warehouse management system can transform your business supply chain management. A WMS (Warehouse Management System) helps organize and optimize various warehouse operations to ensure seamless workflow. This consequently leads to enhanced fulfillment accuracy, increased productivity, and customer satisfaction. From real-time data to managerial efficiency, it offers benefits that are pivotal for

Exceptional customer experience is nowadays a key differentiator for businesses across various industries, especially in supply chain management. According to a report by Salesforce Research, 89% of customers are likely to return to make another purchase if they had a positive customer experience. Blue Yonder, a digital supply chain management platform and a retail solution

Artificial intelligence (AI) is defined as a machine’s ability to get knowledge autonomously to learn from experiences and then act on that knowledge. These machines, like humans, can process the latest information and adapt to changing conditions. There is no doubt that AI is a transformative technology. But the benefits of AI are not limited

Warehousing is the process of storing and shipping physical goods in a warehouse. Warehouses can be used in different business settings for storing goods before shipping them to a specific location or different customers. For example, a business like Walmart may use a warehouse to store its goods in bulk and ship them to its

Wave picking is an intelligently orchestrated picking strategy for warehouses that groups orders by common logistics criteria assigned based on the end customer, type of carrier, volume, or size of the order. The process is used to support management and workers through a warehouse management system to assist in planning and organizing the daily workflow.

  Introduction According to research, online sales of personal goods are anticipated to reach $563 million by 2024, but the standard size of a warehouse is approximately 181,000 square feet. With these data, it’s not amazing that 87% of analyzed resolution makers are either increasing or planning to develop their warehouses by 2024. It’s also

    Cloud being Supreme in WMS Cloud became the center of intention for all problems as a go-to solution in tech firms. So, as we know, the cloud helps resolve the data-storage issue in WMS & Supply Chain Management.  Cloud is evolving in WMS at an amazing pace. By now more than 50 percent

Working with the Blue Yonder (BY) WMS application can take on many roles. Your relationship with it could be that: You are a general user that primarily interacts with the application through the provided screens and navigate using the menu options. You are super user and often end up using the “Server Command Operations” to

The BlueYonder TM (BY) WMS product comes with a rich featured Wave Planning process. However, it is limited in automating the business rules that are generally operationally implemented during the wave planning process by an organization. When we evaluate Wave Planning SOPs for an organization the following common aspects surface: · A naming convention for

Abstract Blue Yonder (BY) tables contain valuable information that can determine important Key Performance Indicators (KPIs) for a site. Such data exists in tables like “dlytrn” that are extremely large and not easy to query. Moreover, due to deployment decisions it is possible that a customer may have more than one instance of the software

Overview I have heard this myth so many times that we have issues “because we have too many rows in table x” — or in response to a support request we are told “this is because your purges are not set up properly” or over engineered solutions are created because “pckwrk has too many rows”.

By Khurram Ahmad CEO of  Smart IS International

Any organization that is striving to do better is undergoing a constant change. Managing this change and communicating it through the organization allows for growth and lack of it ends producing chaos.

What is “Change”? Understanding this will

JDA/BY WMS Application offers a multitude of options for enhancing the operational efficiencies of the warehouse. It achieves this through a highly configurable product that can adapt to the changing needs of business dynamics and still achieve the needed operation throughput.   While the JDA/BY Application is doing all this operational management for getting the

In this blog post, I list some handy MOCA commands that can help when performing ad hoc support tasks on a RedPrairie server. Originally published on saadwmsblog.blogspot.com

Querying JDA/BY WMS Data for Adhoc Analysis with RedPrairie Consultants Overview JDA/BY instances can have over 1000 tables and over 5000 distinct field names. Exact counts can vary based on the options that are installed and if there are customizations. Typical RedPrairie installation is in a single schema for oracle or a single database in

Overview JDA/BY has a very useful feature that allows for detailed tracing of a server component. It provides information about every single server component, parameter and also all SQLs that are executed. But that also ends up being an issue as the traces would often reach several gigabytes. Analyzing them becomes a problem. Our Solution

Introduction Tracking all moveable assets (Forklifts, Pallet Jacks etc.) inside the warehouse is always challenging for a WMS. All WMS platforms try to tackle this in various ways for providing as accurate of a picture as possible for managing WMS intelligence around Picking and Putaway. In this White Paper, I will use JDA/BY as the

I initially wanted to title this post as “Top 10 reasons to show your JDA/BY consultant the door” — but that would have been too cold. But these are mistakes I have seen over and over again so I wanted to mention them here. 10. Overuse of policies (as opposed to custom columns) Add a column

Overview All JDA/BY WMS implementations need an RF Solution — a solution for physical devices that are used on the floor to perform most of the warehouse functions. Man Hours spent on these devices far exceed than those on GUI screens. But the solution for these devices looks the same as it did a decade

JDA/BY WMS Application offers a multitude of options for enhancing the operational efficiencies of the warehouse. It achieves this through a highly configurable product that can adapt to the changing needs of business dynamics and still achieve the needed operation throughput. While the JDA/BY Application is doing all this operational management for getting the needed

Thanks to the open framework of JDA/BY MOCA framework we have a few options when it comes to the clients that can access the MOCA Server. I wanted to compare clients to see how they are different from each other. If there are features that I have missed, let me know so that I can

This is a continuation of the article that discusses the idea of using version control system for JDA/BY source code Why Worry About Data? Blue Yonder™ solutions are made up of the following components: File-Based Objects · 3GL source code files written in C, Java, and .NET · MOCA based source code files (mcmd and

JDA/BY WMS has always been rich with functionality and remained cutting edge, attempting to outpace the competition in features and functionality. However, any focus on providing easy access to the rich data it gathers on the user performance, WMS throughput, potential backlogs etc. was never in the plan. JDA/BY’s solution for easy access to the

JDA/BY WMS Application holds a wealth of data that can allow organizations to manage their Warehouse Execution and utilize the patterns for better prediction of what the future may bring. The key, however, remains that one must first realize that there is a wealth of data, and second set up mechanism for leveraging it. While

By Khurram Ahmad, CEO of Smart IS International All JDA/Blue Yonder WMS implementations need an RF Solution; a solution for physical devices that are used on the floor to perform most of the warehouse functions. Man-Hours spent on these devices far exceed those on GUI screens. However, when we look closely at the evolution of JDA/Blue