Deborah A. Fulton is a senior human resources professional practicing in the Dallas, Texas, area. Her experience includes management of staffing for warehousing, logistics, and manufacturing environments.
You can have the hottest supply chain technology out there. And you can have the coolest-sounding processimprovement initiatives in the business. But they'll all amount to nothing if you don't have the right people in place to use those tools and execute those processes.
But how do you know if you're doing a good job recruiting and retaining the right people? How do you know if your human resource (HR) strategies are actually working? The answer, as is the case in many aspects of business, is to use metrics.
Without any type of human resource metrics, it is difficult to make proactive hiring and personnel decisions, and it is nearly impossible to identify how the results of those decisions are affecting your bottom line. As the business environment becomes more dynamic and complex, and the components of the supply chain become increasingly difficult to manage, it is critical to set HR goals, measure results, and then control the human resource processes that support your company's overall business strategy.
According to the Society for Human Resource Management (www.shrm.org), there are several elements that can be measured to show how HR contributes to your business. These statistics, which are explained in the society's HR Metrics Toolkit, apply across industries and can be readily used by supply chain professionals.
What follows is a brief summary of these elements:
Hiring yield ratios. The hiring yield ratio provides information about the percentage of applicants from a recruitment source that makes it to the next stage of the selection process. For example, if a company receives 100 résumés and 50 are found acceptable, that results in a 50-percent yield.
This ratio can be used to track the percentage of applicants who pass or fail the various steps of the hiring process, such as skills testing, drug screening, and background checks.
Cost per hire. To calculate what your company spends on recruitment, add up all of the costs involved in the hiring of an applicant ("help wanted" advertising, travel, agency fees, and so forth), and then divide the total by the number of people hired.
This metric can be used as a measurement to show any improvements in recruitment or retention costs. It can also be used to determine what the recruiting function can do to increase savings or reduce costs for your company.
Time to fill/hire. This statistic represents the number of days from when the job requisition was approved to when the new hire starts work. It is one way you can determine the efficiency of the recruiting function. It is derived by computing the total number of days elapsed until the requisitions are filled, divided by the number of new hires.
Absence rate. This calculation allows you to measure absenteeism in order to determine whether your company is suffering from this problem. You can also use it to determine the effectiveness of an attendance policy and of management in applying the policy.
To calculate the absence rate, take the total number of days employees are absent in a month and divide it by the average number of people employed during the month. Multiply that answer by the number of workdays, and then multiply the total by 100.
Turnover/retention cost. By calculating the separation, vacancy, replacement, and training costs resulting from employee turnover, a company can determine the turnover cost for a particular position, a class code, a division or functional area, or the entire organization. To get that figure, simply total the costs of separation, vacancy, replacement, and training.
Turnover rate. This measures the rate at which employees leave a company. It is a statistic that will help to identify trends and assist in determining what your organization can do to improve its retention efforts.
To get that figure, divide the number of separations during a month by the average number of employees during the month, and multiply that number by 100.
Human capital return on investment. This metric measures the return on investment (ROI) ratio for employees. It gives companies an opportunity to optimize their investment in such human resource practices as recruitment, motivation, training, and development.
Training return on investment. This measures the total financial gain or benefit an organization realizes from a particular training program, minus the total direct and indirect costs incurred to develop, produce, and deliver the training program. Calculate it by deducting the total direct and indirect cost from the total financial gain or benefit, and multiply that number by 100.
Workers' compensation. Use this number to analyze and compare the year-to-year change in payouts under workers' compensation on a regular basis. Doing so will help you to determine trends in the types of injuries as well as the number of injuries by function, department, and job category. This statistic should be used as a benchmark to show whether your company's HR practices are effective in reducing workers' compensation accidents and costs.
To get this figure, simply divide the total workers' compensation cost for the year by the average number of employees during the year.
Workers' compensation incident rate. This metric looks at the number of injuries and/or illnesses per 100 full-time employees. Divide the number of injuries and/or illnesses per 100 full-time employees by the total hours worked by all employees during the calendar year, and then multiply that number by 200,000. Compare this number to the standard in your industry to determine how your organization is performing compared to its peers.
Next steps
For some companies—especially smaller organizations— the data used to calculate these metrics may not be readily available. In fact, you may need to spend some time identifying sources of the data you need and developing a system to capture that information. Remember that consistent data collection and reporting is critical to the accuracy of any measurement process.
Once you have some results, you can go on to the next steps: benchmarking and goal setting. Comparing the performance of your supply chain organization to others of similar size within your industry will help identify areas of strength as well as areas for improvement. A helpful reference for this type of analysis is the annual "Capital Benchmarking Study" published by the Society for Human Resource Management. This report includes data from a number of key industries, including transportation, warehousing, and distribution.
From there, it is a matter of setting performance goals, homing in on your opportunities, evaluating the key human resource processes involved, and establishing new best practices to optimize your company's performance. Open communication and collaboration across the organization is essential for a successful metrics program.
As you move forward, compare the various metrics outlined here, using the same time frame so that you can accurately identify any improvement or decline in performance. Over time, as process adjustments are made and new practices are institutionalized, the impact on your company's bottom line will become clear.
And the next time you're asked, "Are your HR practices effective?" you'll be able to provide an answer that is based on facts.
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.
The new models are integrated with Amazon Bedrock, a managed service that makes FMs from AI companies and Amazon available for use through a single API. Using Amazon Bedrock, customers can experiment with and evaluate Amazon Nova models, as well as other FMs, to determine the best model for an application.
Calling the launch “the next step in our AI journey,” the company says Amazon Nova has the ability to process text, image, and video as prompts, so customers can use Amazon Nova-powered generative AI applications to understand videos, charts, and documents, or to generate videos and other multimedia content.
“Inside Amazon, we have about 1,000 Gen AI applications in motion, and we’ve had a bird’s-eye view of what application builders are still grappling with,” Rohit Prasad, SVP of Amazon Artificial General Intelligence, said in a release. “Our new Amazon Nova models are intended to help with these challenges for internal and external builders, and provide compelling intelligence and content generation while also delivering meaningful progress on latency, cost-effectiveness, customization, information grounding, and agentic capabilities.”
The new Amazon Nova models available in Amazon Bedrock include:
Amazon Nova Micro, a text-only model that delivers the lowest latency responses at very low cost.
Amazon Nova Lite, a very low-cost multimodal model that is lightning fast for processing image, video, and text inputs.
Amazon Nova Pro, a highly capable multimodal model with the best combination of accuracy, speed, and cost for a wide range of tasks.
Amazon Nova Premier, the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models
Amazon Nova Canvas, a state-of-the-art image generation model.
Amazon Nova Reel, a state-of-the-art video generation model that can transform a single image input into a brief video with the prompt: dolly forward.
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.
“The overall index has been very consistent in the past three months, with readings of 58.6, 58.9, and 58.4,” LMI analyst Zac Rogers, associate professor of supply chain management at Colorado State University, wrote in the November LMI report. “This plateau is slightly higher than a similar plateau of consistency earlier in the year when May to August saw four readings between 55.3 and 56.4. Seasonally speaking, it is consistent that this later year run of readings would be the highest all year.”
Separately, Rogers said the end-of-year growth reflects the return to a healthy holiday peak, which started when inventory levels expanded in late summer and early fall as retailers began stocking up to meet consumer demand. Pandemic-driven shifts in consumer buying behavior, inflation, and economic uncertainty contributed to volatile peak season conditions over the past four years, with the LMI swinging from record-high growth in late 2020 and 2021 to slower growth in 2022 and contraction in 2023.
“The LMI contracted at this time a year ago, so basically [there was] no peak season,” Rogers said, citing inflation as a drag on demand. “To have a normal November … [really] for the first time in five years, justifies what we’ve seen all these companies doing—building up inventory in a sustainable, seasonal way.
“Based on what we’re seeing, a lot of supply chains called it right and were ready for healthy holiday season, so far.”
The LMI has remained in the mid to high 50s range since January—with the exception of April, when the index dipped to 52.9—signaling strong and consistent demand for warehousing and transportation services.
The LMI is a monthly survey of logistics managers from across the country. It tracks industry growth overall and across eight areas: inventory levels and costs; warehousing capacity, utilization, and prices; and transportation capacity, utilization, and prices. The report is released monthly by researchers from Arizona State University, Colorado State University, Rochester Institute of Technology, Rutgers University, and the University of Nevada, Reno, in conjunction with the Council of Supply Chain Management Professionals (CSCMP).
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.
“Evolving tariffs and trade policies are one of a number of complex issues requiring organizations to build more resilience into their supply chains through compliance, technology and strategic planning,” Jackson Wood, Director, Industry Strategy at Descartes, said in a release. “With the potential for the incoming U.S. administration to impose new and additional tariffs on a wide variety of goods and countries of origin, U.S. importers may need to significantly re-engineer their sourcing strategies to mitigate potentially higher costs.”
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.
Blue Yonder today acknowledged the disruptions, saying they were the result of a ransomware incident affecting its managed services hosted environment. The company has established a dedicated cybersecurity incident update webpage to communicate its recovery progress, but it had not been updated for nearly two days as of Tuesday afternoon. “Since learning of the incident, the Blue Yonder team has been working diligently together with external cybersecurity firms to make progress in their recovery process. We have implemented several defensive and forensic protocols,” a Blue Yonder spokesperson said in an email.
The timing of the attack suggests that hackers may have targeted Blue Yonder in a calculated attack based on the upcoming Thanksgiving break, since many U.S. organizations downsize their security staffing on holidays and weekends, according to a statement from Dan Lattimer, VP of Semperis, a New Jersey-based computer and network security firm.
“While details on the specifics of the Blue Yonder attack are scant, it is yet another reminder how damaging supply chain disruptions become when suppliers are taken offline. Kudos to Blue Yonder for dealing with this cyberattack head on but we still don’t know how far reaching the business disruptions will be in the UK, U.S. and other countries,” Lattimer said. “Now is time for organizations to fight back against threat actors. Deciding whether or not to pay a ransom is a personal decision that each company has to make, but paying emboldens threat actors and throws more fuel onto an already burning inferno. Simply, it doesn’t pay-to-pay,” he said.
The incident closely followed an unrelated cybersecurity issue at the grocery giant Ahold Delhaize, which has been recovering from impacts to the Stop & Shop chain that it across the U.S. Northeast region. In a statement apologizing to customers for the inconvenience of the cybersecurity issue, Netherlands-based Ahold Delhaize said its top priority is the security of its customers, associates and partners, and that the company’s internal IT security staff was working with external cybersecurity experts and law enforcement to speed recovery. “Our teams are taking steps to assess and mitigate the issue. This includes taking some systems offline to help protect them. This issue and subsequent mitigating actions have affected certain Ahold Delhaize USA brands and services including a number of pharmacies and certain e-commerce operations,” the company said.
Editor's note:This article was revised on November 27 to indicate that the cybersecurity issue at Ahold Delhaize was unrelated to the Blue Yonder hack.
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.
Anthropic’s “Claude” family of AI assistant models is available on AWS’s Amazon Bedrock, which is a cloud-based managed service that lets companies build specialized generative AI applications by choosing from an array of foundation models (FMs) developed by AI providers like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon itself.
According to Amazon, tens of thousands of customers, from startups to enterprises and government institutions, are currently running their generative AI workloads using Anthropic’s models in the AWS cloud. Those GenAI tools are powering tasks such as customer service chatbots, coding assistants, translation applications, drug discovery, engineering design, and complex business processes.
"The response from AWS customers who are developing generative AI applications powered by Anthropic in Amazon Bedrock has been remarkable," Matt Garman, AWS CEO, said in a release. "By continuing to deploy Anthropic models in Amazon Bedrock and collaborating with Anthropic on the development of our custom Trainium chips, we’ll keep pushing the boundaries of what customers can achieve with generative AI technologies. We’ve been impressed by Anthropic’s pace of innovation and commitment to responsible development of generative AI, and look forward to deepening our collaboration."