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Replacing Hospitality Software – How to Get Out of a Sticky Situation

Posted by Harriet Schneider on Aug 12, 2021 7:34:06 AM

Stability is important. Hotels, casinos, and resorts have guests they need to serve right now, today. Hospitality software solutions in place help them do that by taking care of the basics: reservations, check-ins, folios and check-outs, along with a staggering variety of in-house services and their associated charges. Essential software like hotel PMS is pretty “sticky” that way; it’s easier to stick to what you’ve got than it is to change. Why fix what isn’t broken?

Here’s the thing. Five years from now – perhaps sooner – the way guests engage with hospitality providers will likely look very different. Innovative solutions and platforms will be necessary to scale to that new paradigm, whatever it may be. So how do hospitality organizations know when it’s time to start planning for that? How do decision-makers know when it’s time to get unstuck? Here are 3 considerations to help answer that question.

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Topics: ERP, Distribution, Process Manufacturing, AI, Artificial Intelligence, Food Technology, Business Intelligence, Cloud BI, Enterprise Asset Management, Enterprise Software, Business Processes, Infor CloudSuite M3, Infor CloudSuite ERP

Hospitality AI vs. Human Expertise – Striking the Balance

Posted by Harriet Schneider on Aug 10, 2021 9:15:16 AM

As new hospitality technology emerges and as organizations increasingly invest in it, the ways people do their jobs change in response. Most of the time, this means greater efficiency, and a way for teams to concentrate on key tasks while the technology takes care of the necessary minutiae. Some of the time though, the rise of certain technologies can cause some concerns that with certain functionality in place, the human factor will get lost.

Hospitality AI functionality in hotel revenue management and in hotel pricing tools is a case in point. The conversation around automation via algorithms has been too easily positioned with a “versus” between machine learning solutions and professional expertise. Yet, the features of the technology and years of knowledge and experience held by revenue and strategy teams isn’t adversarial. The relationship between them is more about achieving greater focus and clarity. How do science-based algorithms in revenue management and pricing solutions help your organization do that? Let’s look at some key points.

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Topics: ERP, Distribution, Process Manufacturing, AI, Artificial Intelligence, Food Technology, Business Intelligence, Cloud BI, Enterprise Asset Management, Enterprise Software, Business Processes, Infor CloudSuite M3, Infor CloudSuite ERP

The Impact Of Asset Performance On Food Safety

Posted by Harriet Schneider on Apr 15, 2021 9:00:00 AM

Asset performance is key for food and beverage processors to reliably produce safe food at the lowest cost. This goes beyond only having the equipment available. Asset performance is one of three variables used to calculate the Overall Equipment Effectiveness (OEE)—the other two variables are availability and quality. In food and beverage processing, quality is primarily about food safety, which is non-negotiable. Studies show that a food safety issue leading to a recall in average costs $10 million. The associated brand damage can be unmeasurable.

The state of equipment and the behaviour of workers have a big impact on food safety. Eliminating food safety risks and risks to workers are the primary responsibilities of any food processing company. Numerous food safety issues caused by contaminations with extraneous material like metal coming from broken filling equipment, or grease or detergent remnants are reported to the FDA and RASFF every year. Cross contamination, pathogens, and faulty labeling are other possible reasons why food and beverage manufacturers must recall products

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Topics: Digital Transformation, Food & Beverage, Distribution, Supply Chain, Artificial Intelligence, digital technology, Food Technology, CloudSuite Food & Beverage, Enterprise Software

The Role Of AI And Machine Learning In Food Technology

Posted by Harriet Schneider on Mar 18, 2021 10:28:05 PM

The food and beverage industry is ripe with complexities, and the journey from idea to commercialization is long and arduous for food technologists. New product ideas or packaging developments have to endure rigorous data collection, testing, and certifications to make it to consumer shelves—processes carried out by food technologists working with manual tools, creating a wide margin for potential error.

Excel and pen-and-paper methods are common ways to record data and make calculations regarding research and development, quality standards, raw supplies orders, and dozens of other variables associated with the manufacturing process. Luckily, the industry has seen an uptick in the adoption of digital transformation methodologies. Accessible, commodity-based technologies are making it easier to accurately record data and make mission-critical calculations.

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Topics: Digital Transformation, Food & Beverage, Distribution, Supply Chain, Artificial Intelligence, digital technology, Food Technology, CloudSuite Food & Beverage, Enterprise Software

Satisfying Customers With AI To Optimize Retail Inventory

Posted by Harriet Schneider on Feb 11, 2020 8:00:00 AM

Dear frustrated retailer:

Are you responsible for the success of your company’s retail business from sales, margin, and inventory levels to overall customer satisfaction? If so, what happens when a valuable customer tries to make a purchase from one of your stores or online but is disappointed when there is no inventory? Odds are great you won’t get them back. Out of stocks are a huge problem for your financial bottom line.

What happens when you have excess inventory in the wrong products, wrong locations, or at the wrong time, leading to disappointed customers? You might not be back. Slow moving, stagnant inventory stranded in various locations throughout your supply chain is a tremendous problem for your financial bottom line—and your career.

Your greatest challenge is balancing the need to satisfy customers with your business’ profitability and
growth. Customer loyalty is finicky. They demand inventory when they want it, where they want, and
have a myriad of options on their smartphone to change brands, retailers, locations, and delivery
method. In this new age of retail, you can’t afford to lose a customer to your competition. At the same
time, you can’t load up every location/channel with an infinite amount of inventory in hopes of satisfying every customer’s purchase

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Topics: AI, Artificial Intelligence, CloudSuite Retail, Retail Inventory

Defining Digital Transformation - Automation, Transformation, People

Posted by Harriet Schneider on May 30, 2019 8:00:00 AM

Digital transformation is on the agendas of virtually all corporations today. It has risen to the top of strategic plans and has become the focus of businesses around the globe. So great an industry evolution, IDC indicates spending on technologies and services that enable the digital transformation of businesses will hit $1.97 trillion in 2022.

 
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Topics: Digital Transformation, Digital Strategy, Digital Journey, AI, Artificial Intelligence

What's The Future Of Artificial Intelligence In Distribution?

Posted by Harriet Schneider on Mar 7, 2019 8:00:00 AM

Distribution business trends for 2019, the year of moving strategically.

Artificial intelligence (AI) has a lot of people talking. The fact that those people no longer hail primarily from the world of science fiction is representative of just how far the ideas driving this technology have come. AI has entered the mainstream, and it has the technology world buzzing with excitement. The potential applications of AI are vast and varied. And in truth, that is where the real excitement lies—in finding out just how far we can take AI, and in turn, how far it can take us.

Kelly Squizzero, Infor’s Director, Industry & Solution Strategy, points to five key business trends that are shaping distribution business in 2019.

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Topics: Distribution, AI, Artificial Intelligence, Machine Learning

How To Identify An AI Opportunity: 5 Questions To Ask.

Posted by Harriet Schneider on Mar 5, 2019 8:00:00 AM

Could AI solve that problem? Speed that process? Five important things you should ask to unearth AI opportunities in your organization.This article by Kevin Casey at the Enterprisers Project which is a community of CIOs discussing the future of business and IT, provides actionable insights on how IT and business leaders can think clearly about where AI might be a good fit. 

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Topics: AI, Artificial Intelligence, Machine Learning

Download Webinar: 5 Steps For Creating A Common Language To Define Manufacturing Innovation

Posted by Harriet Schneider on Mar 1, 2019 4:22:46 PM

MASTER SERIES FOR MANUFACTURING: Part 1 - A webinar designed to share a knowledge base for manufacturing sciences & technology and applications to improve production performance.

As we hear more about Industry 4.0; Industrial Internet of Things, and The Digital Factory, it might be a good time to reflect and develop a “Common Language” as it pertains to the word “Manufacturing.”

Since every word has specific meaning, we should ensure that terms such as “Manufacturing” and “Manufacturing Technology” are understood and articulated with a shared language.

This effort could also serve a very useful purpose as we review the developments in the past century and plan ahead for future ones.

“Manufacturing” is the REPETITIVE use of an organized collection of Physical processes, Information Processes and the combination of the two to achieve the “Product” at the required quantity, quality, cost, time and place.

It is the repetitive use of all processes that distinguish “manufacturing” from research, design, product development, etc.

 

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Topics: Digital Transformation, ERP, Manufacturing, Food & Beverage, Webinar, Process Manufacturing, Artificial Intelligence, Fashion PLM

How Is AI Lowering The Barrier To Entry For BI And Analytics?

Posted by Harriet Schneider on Feb 19, 2019 8:00:00 AM

According to Gartner, more than 3,000 CIOs ranked Business Intelligence (BI) and Analytics as the top differentiating technology for their organizations. If BI and Analytics is such a game-changer, then why is the average adoption rate in organizations only 32%? Despite the efforts of Cloud BI vendors making it easier for users to acquire, explore, and analyze data sources without IT dependency, lack of data literacy and analytic skills still hinder widespread adoption for data-driven decision making.  But the industry is undergoing a fundamental transformation. The mainstream arrival of Artificial Intelligence (AI) brings with it the potential to finally meet the demand for actionable, enterprise-wide, fact-based decision making.

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Topics: Artificial Intelligence, Machine Learning, Business Intelligence, Cloud BI, Data Visualization, Networked BI

About ICCG

Welcome to our Blog - ICCG Insights!

Embracing thought leadership as a pathway for growth, represents the true spirit of progressive change that will make a difference in technology-driven industries. As a consulting company, ICCG customers look to us as their value-added resource. They expect us to be proactive about solving their immediate challenges and we don’t take that responsibility lightly. It is this that drives us to share our best practices, knowledge-base, years of experience, and tried and true methodologies. These have been the hallmarks of our corporate brand.

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