Skip to content
Search AI Powered

Latest Stories

PERSPECTIVE

It’s time to get real

Real-time data can help resolve many of the supply chain issues the industry faces today.

Supply chain congestion. Rampant inflation and rising costs. Shipping delays. Labor shortages. We certainly face a lot of challenges at the outset of 2022. Doing things the same old way may not be enough in this new environment. It’s time to get real.

Today’s business problems underscore the need for supply chain players to accelerate their digital transformations. Solid data will be needed to resolve many of the issues with our broken supply chains. Real-time information allows us to be proactive, rather than reactive. With the delays we already face, we can’t add further delays while humans stop to identify and research problems before they can respond.


Proper real-time information combined with business intelligence can “anticipate” problems and alert users before these problems occur. Rules can be set so that when a particular situation arises, a predetermined solution can be immediately set in motion, saving valuable time and utilizing available resources to their fullest.

Real-time information also allows you to mitigate risk. With proper visibility, users can deploy assets and optimize scheduling to spread risk so that bottlenecks in a particular area or operation can swiftly be cleared before crippling damage is done.

Another benefit of good data is the ability to model and map operations. Digital twins rely on accurate data to run models and predict system behavior. A digital twin can incorporate machine learning and artificial intelligence to make assumptions about future events, while offering alternative actions based on conditional rules.

Of course, real-time information is only as good as the data acquired. Companies should examine how they collect data. Sadly, many organizations still rely on paper and spreadsheets to track their inventories. Both are highly inefficient and prone to error. Bar-code scanners, RFID (radio-frequency identification), voice-directed systems, vision systems, pick-to-light systems, and robotics are just a few of the many technologies that can be good sources of data.

On the transportation side, real-time locating systems can track vehicles and the cargo they carry while in transit on roads and rails. The new infrastructure bill will add to the value of these technologies by funding the expansion of internet and cell service along lonely stretches of highway. Satellite-based systems are also available for those areas where cell service remains spotty.

Of course, the overall goal of real-time technologies is to enhance operations in ways that improve customer service. In this age when customers have high delivery expectations, being able to deliver on-time is crucial. Keeping customers informed of order and delivery status in real time is no longer the competitive differentiator it once was; today, it’s simply the table stakes required to remain in the game.

Recent

More Stories

AI image of a dinosaur in teacup

Amazon to release new generation of AI models in 2025

Logistics and e-commerce giant Amazon says it will release a new collection of AI tools in 2025 that could “simplify the lives of shoppers, sellers, advertisers, enterprises, and everyone in between.”

The launch is based on “Amazon Nova,” the company’s new generation of foundation models, the company said in a blog post. Data scientists use foundation models (FMs) to develop machine learning (ML) platforms more quickly than starting from scratch, allowing them to create artificial intelligence applications capable of performing a wide variety of general tasks, since they were trained on a broad spectrum of generalized data, Amazon says.

Keep ReadingShow less

Featured

Logistics economy continues on solid footing
Logistics Managers' Index

Logistics economy continues on solid footing

Economic activity in the logistics industry expanded in November, continuing a steady growth pattern that began earlier this year and signaling a return to seasonality after several years of fluctuating conditions, according to the latest Logistics Managers’ Index report (LMI), released today.

The November LMI registered 58.4, down slightly from October’s reading of 58.9, which was the highest level in two years. The LMI is a monthly gauge of business conditions across warehousing and logistics markets; a reading above 50 indicates growth and a reading below 50 indicates contraction.

Keep ReadingShow less
chart of top business concerns from descartes

Descartes: businesses say top concern is tariff hikes

Business leaders at companies of every size say that rising tariffs and trade barriers are the most significant global trade challenge facing logistics and supply chain leaders today, according to a survey from supply chain software provider Descartes.

Specifically, 48% of respondents identified rising tariffs and trade barriers as their top concern, followed by supply chain disruptions at 45% and geopolitical instability at 41%. Moreover, tariffs and trade barriers ranked as the priority issue regardless of company size, as respondents at companies with less than 250 employees, 251-500, 501-1,000, 1,001-50,000 and 50,000+ employees all cited it as the most significant issue they are currently facing.

Keep ReadingShow less
diagram of blue yonder software platforms

Blue Yonder users see supply chains rocked by hack

Grocers and retailers are struggling to get their systems back online just before the winter holiday peak, following a software hack that hit the supply chain software provider Blue Yonder this week.

The ransomware attack is snarling inventory distribution patterns because of its impact on systems such as the employee scheduling system for coffee stalwart Starbucks, according to a published report. Scottsdale, Arizona-based Blue Yonder provides a wide range of supply chain software, including warehouse management system (WMS), transportation management system (TMS), order management and commerce, network and control tower, returns management, and others.

Keep ReadingShow less
drawing of person using AI

Amazon invests another $4 billion in AI-maker Anthropic

Amazon has deepened its collaboration with the artificial intelligence (AI) developer Anthropic, investing another $4 billion in the San Francisco-based firm and agreeing to establish Amazon Web Services (AWS) as its primary training partner and to collaborate on developing its specialized machine learning (ML) chip called AWS Trainium.

The new funding brings Amazon's total investment in Anthropic to $8 billion, while maintaining the e-commerce giant’s position as a minority investor, according to Anthropic. The partnership was launched in 2023, when Amazon invested its first $4 billion round in the firm.

Keep ReadingShow less