This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
All industries have their unique aspects which is why it is so important to select an ERP system that caters to your business’s specific challenges. There are several business processes that an ERP must have to support automotive distribution. Why is an ERP important? What is automotive distribution?
Starting your ERP project Congratulations on selecting an ERP system for manufacturing. The next crucial step is a successful manufacturing ERP implementation to maximize your investment and streamline operations. An ERP system for manufacturing goes further than automating processes and workflows.
Seamless Integrations: Upwell integrates with popular transportation management systems (TMS), enterprise resource planning (ERP) software, and accounting systems. Data-Driven Insights: Upwell provides valuable data and analytics to help businesses optimize their accounts receivable operations.
Supply chain networks depend on structured data, exchanged through APIs, middleware, and telemetry, to coordinate across facilities, regions, and partners. These models leverage structured data sets, POS sales, historical trends, promotions, and weather, to adjust replenishment targets. shifting macroeconomic indicators).
Streamline your logistics operations with ERP-integrated shipping solutions, offering seamless data integration, cost savings, and enhanced customer experience. In today's competitive landscape, adopting an ERP- integrated shipping solution isn’t just an upgrade; it's a strategic move toward operational excellence and growth.
Each technician visit, customer interaction and service delivery generates valuable data points. What is a data warehouse? What is a data warehouse? A data warehouse is a comprehensive system that collects, organizes and delivers business information in a way that makes it immediately useful.
The company aims to change this with the expansion of its data fabric portfolio. A supply chain data fabric can help companies augment their supply chain processes. Large companies often have a heterogeneous IT environment where different regions and divisions use different ERP and supply chain applications.
Traditional ERP systems were deployed on-premise, where the company took responsibility for everything, including installing the hardware, running the system, and most IT issues. Manufacturers are now able to choose a different deployment method cloud ERP as the backbone of their digital transformation strategy.
A modern manufacturing ERP system will make use of these technologies so that their benefits can be realized. A companys ability to manage the flood of data coming from the factory floor and other areas is becoming critical. And its not just data within the company, but also using and sharing it across the entire business ecosystem.
Artificial intelligence (AI) and machine learning (ML) in manufacturing ERP have recently added a new realm of technology that can address the complex operations found in manufacturing. There is no question that AI and ML will have important roles in shaping the future of manufacturing ERP.
Home Making Logistics Data Actionable: Insights from Freightos and Gryn July 7, 2025 Blog Data is the backbone of efficient decision-making. However, transforming raw data into actionable insights remains a significant challenge for many logistics organizations. That’s the reason why you are collecting data.”
The tools we have used, ERP systems, spreadsheets, and siloed databases, have served us well, however as complexity increases, and the margin for error narrows, there has been a growing recognition that patchwork systems are no longer enough. Set a schedule to refresh this data daily, no manual uploads are needed.
Manufacturers have started implementing features of the Fourth Industrial Revolution (4IR) to be more flexible and responsive and make more intelligent, data-driven decisions. Supply chain optimization IoT data can be used to optimise supply chain operations, including transportation, warehousing, and distribution.
An ERP system for compliance and traceability in regulated industries provides all the tracking and reporting capabilities needed. Why ERP is needed for compliance and traceability Often companies choose point solutions to address their compliance and traceability requirements.
In a previous blog AI and Machine Learning in Manufacturing ERP: Key Benefits , we discussed the benefits of using AI in manufacturing and how it could be enhanced with an ERP system. While manufacturers are keenly interested in using AI, the main question they have is what are the best use cases for AI in ERP?
These systems are increasingly used to improve internal logistics, address labor challenges, and support responsive, data-driven operations. Improved Data Integration Many AMRs integrate with WMS and ERP platforms to provide data on performance, usage, and maintenance, enabling smarter resource planning.
Theyre built for a narrow job: to allow simple devices to send small data packages across long distances with minimal power usage. In both cases, devices can last up to 10 years on a battery, waking only to transmit data at defined intervals. Theyre not general-purpose wireless technologies. Still, they serve different purposes.
These are big data platforms that monitor news sources and assorted databases from governments, financial institutions, ESG NGOs, and other sources to detect when an adverse event has occurred or may be about to occur. Most argue that when the UI is trained with the companys own data, the risk of hallucination is small.
The collaboration integrates CrimsonLogic’s regulatory filing software, Advance Commercial Information eManifest House Bill (ACI eHBL), directly into the NewageNXT freight management ERP platform. By eliminating the need for double data entry and minimizing delays, customers can save significant time and manpower costs.
The Data-Driven Supply Chain: AI, Cybersecurity & Real-Time Monitoring” dives into how AI is reshaping entire ecosystems—from predictive replenishment to anomaly detection. Still, siloed data and legacy ERP platforms limit many organizations from realizing AI’s full potential. Turning that data into action.
From sourcing and bid evaluation to warehouse slotting and dynamic routing, AI tools support faster and more consistent outcomes by processing large volumes of operational data and identifying patterns that human decision-makers may overlook. These capabilities are now being integrated into mainstream TMS, WMS, and ERP platforms.
Physical Layer: Transmits data over a physical connection. Data Link Layer: Handles data transfer between connected nodes. Network Layer: Manages data routing. Transport Layer: Ensures dependable data transfer. Presentation Layer: Translates between data formats. These seven layers are: 1.
Smart factories use IoT-enabled technologies like sensors and smart machines to generate data, often in real-time, to improve information about production processes and help decision-making. Together MOM and MES provide the intelligent systems to collect, deliver and analyze production data to empower industry strategy and smart factories.
RPA technology simulates human operations in digital systems, such as data entry, file processing, and information transmission, achieving full automation of key processes from booking to order. Booking Processing : RPA can automatically scan and digitize booking documents in various formats and then automatically enter the data.
The Clorox Company announced at a conference this week that it will be updating its 25-year-old ERP system across the United States. The cleaning products company expects the new system to provide real-time data visibility, better demand planning, and “fundamentally modernize the backbone of our operations,” EVP and CFO Luc Bellet said.
5G networks significantly improve data transmission speed, latency, and device connectivity, revolutionizing supply chain operations. This setup allows teams to collaborate in real time, sharing video and diagnostic data across geographies. Next lets look at technical capabilities and applications in the domain.
Multitudes of suppliers, each using different data formats and systems, must somehow coordinate seamlessly. It is a data trust problem. Valencia Port Foundation partnered with IBM to integrate blockchain into its port logistics, enabling secure, trusted data exchange among shippers, customs, and terminal operators.
With rising threats to supply chain infrastructure, features like multi-factor authentication, data encryption, and role-based access are table stakes—not add-ons. How easily can the WMS integrate with external systems like ERP, TMS, OMS, and supplier platforms? Just as important is security.
Enterprise resource planning (ERP) software can help these challenges by providing a single, integrated platform for managing all aspects of the business and ultimately optimizing production. Making the right choice The right ERP system delivers immense advantages to food and beverage manufacturers seeking to optimize intricate operations.
AI makes it possible The Role of AI in Real-Time Orchestration Operations teams have long struggled to make high-stakes decisions with delayed or incomplete data. They want decisions: proactive, data-backed moves that protect profit and keep goods flowing. Boards want more than dashboards.
Traditional supply chain planning, which relies on historical data and reactive adjustments, is no longer adequate for managing these challenges. Enterprise resource planning (ERP) systems, while effective for tracking transactions and inventory levels, lack the predictive capabilities needed to anticipate and mitigate risks.
As if the plethora of point applications such as WMS, TMS, route optimization, or yard management software isnt enough to get your head around, there are the relative merits of ERP (enterprise resource planning), SCM (supply chain management), and APS (advance planning and scheduling) platforms to further complicate your quest.
Set Recovery Targets Define how quickly you need to bounce back (RTO) and how much data you can afford to lose (RPO). Support It With Technology Continuity planning relies on prompt, reliable data. Both are essential. One is about reacting quickly. The other is about recovering well. What Disrupts Supply Chains Today?
This entails assuring real-time data integration between physical stores, distribution hubs, and digital platforms, as well as developing efficient last-mile methods to match consumers’ demands for speed and convenience. This technique improves efficiency, lowers costs, and enhances supply chain security.
UWB systems provide highly accurate, real-time positioning data, particularly effective in indoor environments where Global Positioning System (GPS) signals are often unavailable or degraded. Software UWB location data requires integration with various enterprise software systems. UWB technology is standardized under IEEE 802.15.4,
billion rate data points monthly to provide the most comprehensive view of the market, helping you identify savings opportunities and make data-driven decisions. Our platform can be deployed alongside your current solutions, providing immediate value without disrupting established workflows.
No Algorithms, But Plenty of Atlases “The whole route planning process would take several hours, after which I would use the pseudo-ERP system to replicate the piles of planning slips into ‘shipments’ in the system and assign them to vehicles in the fleet. . “I would begin my shift at 2 p.m.
The major challenge faced by customers of real-time visibility data had always been how to operationalize what could quickly become overwhelming quantities of fast-changing information. billion shipments processed annually, a 246,000+ global carrier network, and 256+ integrations with TMS and ERP systems.
Companies find it difficult to fully trust the data from suppliers, complicating efforts to ensure product authenticity, safety, and ethical sourcing. ERP & SCM Systems (2000s2015): Centralized ERP suites (e.g., GS1 EPCIS data) are hashed using Keccak-256, making it virtually impossible to counterfeit drugs.
Tackling Compatibility Up Front Version drift and data-type mismatches derail many projects. If an ERP update changes a payload, you’ll find a migration guide in the docs and a heads-up email weeks in advance. Bottom line: Great TMS integrations shrink timelines, cut manual touches, and keep data flowing cleanly across every hand-off.
A lot of people overuse the term, just to say ‘I made something better,’” says Jerry Yurchisin, senior data science strategist with Gurobi , provider of a prescriptive analytics software platform built on decision intelligence technology. By itself, the word “optimize” doesn’t mean anything specific. “A
Heating products and electrical cable distributor Pitacs Ltd has selected Forterro’s ERP and Warehouse Management Solution, Orderwise Cloud, to drive automation, improve operational efficiency, enhance ecommerce and support the next stage of the company’s digital transformation.
The combination of SAP agent technologies and Databricks data fabric solution, sets the stage for end-to-end enterprise orchestration. Databricks offers a Data Intelligence Platform. Databricks type of solution is increasingly being called a data fabric or a data platform built on data fabric principles.
Even digital advancements, like Enterprise Resource Planning (ERP) systems, only partially solve these challenges because they still need centralized oversight and reconciliation. Dynamic Pricing: Real-time data from decentralized oracles (such as Chainlink) can adjust contract terms based on market prices or demand fluctuations.
We organize all of the trending information in your field so you don't have to. Join 84,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content