Many providers of supply chain services compensate their sales force using approaches that are more suited to start-ups than to mature, established businesses.
Beth Carroll, CCP, GRP, CSCP, is a principal with The Cygnal Group, a con-sulting firm that helps companies design, communicate, and manage their sales compensation plans.
Designing effective sales compensation is an art. When done well, it enables companies to develop the right mix of individual motivation and teamwork while balancing the needs for both short-term financial gain and long-term strategic positioning. When done poorly, however, companies can end up creating at best a culture of complacency and entitlement, and at worst a culture where sales representatives are working to maximize their own incomes to the detriment of the company.
Many providers of supply chain services, such as transportation brokers, customs brokers, freight forwarders, warehouse operators, third-party logistics companies, and carriers, compensate their sales force using approaches that are more suited to start-ups than to mature, established businesses. By using the best practices outlined in this article, these types of companies can maximize the return on their sales investments and become stronger competitors.
Don't pay more for less work
Providers of supply chain services tend to approach incentive compensation from a simplified, "cost of sales" viewpoint. After determining how much they think they can afford to pay for the sale of a particular product or a service, they establish a straight-line commission plan—for example, 5 percent of margin for truckload brokerage or 0.5 percent of revenue for third-party logistics (3PL) services. They then pay that percentage for as long as the salesperson and the customer remain with the company.
This approach may work for start-up companies, but it quickly falls apart for high-growth or mature organizations that invest large amounts of money in marketing, advertising, customer service and support, technology, training, and other programs that build brand awareness and help to attract and retain customers. That's because the "cost of sales" approach fails to take into account the fact that these programs also have the effect of reducing the effort a sales representative must put forth to secure and retain customers. In fact, the contributions of other employees may have a greater impact on customer retention than those of the sales representative, who perhaps only gets involved with the customer when it's time to renew the contract.
For example, if a company starts by paying its sales staff 10 percent of revenue and continues this approach as the company grows, it could end up paying more than the market rate for similar positions. Furthermore, it will be compensating sales representatives at the same level for what is likely to be less work. As a result, the company risks creating a complacent sales force that does not bring in enough new customers.
Three best practices
To avoid developing a complacent sales force, companies need to shift from the start-up "cost of sales" mentality to a more mature "cost of labor" approach. To accomplish this, it's important to follow three best practices in sales compensation design:
Set the target total compensation (TTC) based on current market value
Match the pay mix to the sales role
Design pay elements to provide the right balance
To start then, companies need to determine the market value for each sales job. This ensures that they will be able to attract and retain top talent without overpaying or creating a disincentive for newclient acquisition. There are many market surveys available that can help you benchmark pay levels, but be sure to look at "actual total compensation" (or "target total compensation" if actual is not available) and not just salary to get the full picture for a sales job. Total compensation is important because the salary may be only 50 percent of the compensation package, and the portion that comes from incentive compensation (commonly called "sales commissions") can vary greatly from one company to another.
Similarly, benchmarking based on commission rates alone is a mistake. In the logistics industry, one company may pay a higher portion in salary and have a lower commission rate for a given product or service, while another company may offer a lower salary but a higher commission rate. Further, well-designed plans should have other variable elements besides commissions; for example, a commission rate based on margin may be offset by a bounty for new business acquisition.
Once you know the industry baseline, set the pay mix based on the nature of the selling role. "Pay mix" refers to the portion of target total compensation that comes from salary (fixed pay) versus incentives (variable pay). Not all selling roles in an organization should have the same pay mix. The more direct and personal control the sales representative has over the outcome of a sales call, the more compensation should come from variable pay (incentives) rather than from fixed pay (salary). When other factors, such as high brand awareness, low price, limited product availability from other sources, aggressive marketing promotions, or high switching costs weigh heavily in the customer's decision to buy (or keep buying), the salesperson is less directly and personally responsible for the revenue from the customer, therefore less compensation should come from variable pay and more should come from fixed pay.
Generally speaking, "hunters," or salespeople who focus on gaining new accounts, should have more variable pay than "farmers," or account managers who focus on maintaining and growing existing accounts. Most customer support roles have the least amount of variable pay of all.
After determining the right mix of variable and fixed pay, companies need to make sure the elements that determine incentive pay provide a balance between financial and strategic objectives, individual and team effort, and shortand long-term focus. An element is the combination of:
performance measure (the metrics used to judge performance; for example, revenue, number of new customers, or percentage of margin);
scope (the level of aggregation at which performance is measured, such as individual, team, region, or company);
performance period (what time horizon determines the start and end for sales credit);
pay frequency (how often incentives will be paid); and
mechanics (what mathematical formulas will be used to calculate pay).
Well-designed incentive plans like the example in Figure 1 include more than one measure of performance. The bestdesigned plans have three elements, but a case can be made for using two or four elements in some circumstances. Going beyond four makes it difficult for the sales representative to give adequate attention to all parts of the plan, and he or she may decide to focus only on those elements that will make the most money and ignore the rest.
By following these three best practices in sales compensation design, companies can maximize the return on their investments in what is likely a very large part of their selling, general, and administrative (SG&A) budget. Additionally, the right design can help companies position themselves for increased growth and improved strategic position relative to their competitors, whether they are competing for customers or for top sales representatives, or both.
Calculating sales compensation: What's the right formula?
The mechanics (mathematical formulas) used to calculate pay can be one of the trickiest parts of sales compensation design. The wrong mechanics can lead to payouts that are either too high or too low for the performance, or they can create a "phantom" base salary that leads to complacency.
One of the keys to sound mechanics is to use a goal or performance expectation against which the payouts are calculated. A commission mechanic (where a percentage of revenue or margin is paid) is fine for many types of hunter (new-client acquisition) roles, but it should pay using a lower rate at below-target performance and a higher rate at above-target performance. It should also avoid creating an "annuity" whereby a representative can make a sale, hand over the account to someone else, and continue to generate income from that sale for years to come. Hunters need to be rewarded for hunting!
Be careful, too, of using a retroactive commission rate (where the higher rate applies back to the first sale), as this plan creates an inverse economic relationship for the additional amount of money that moved the salesperson up to the next compensation level—it costs the company more in incentive pay than it made from that additional sale. This type of mechanic can be highly motivational, but it may also lead to unethical behavior because it offers a disproportionately large additional reward for what could be very little effort.
A goal-based mechanic typically has a performance range in which some pay is earned below goal, but significantly more pay is earned above goal, at a ratio that is typically greater than 2:1. A goal-based approach is often appropriate for account managers or territory managers who have unequal opportunities. Using a goal allows the company to pay the same amount in incentive for the same level of effort, even if that effort does not lead to the same financial result. In supply chain service companies, a goal-based approach is often appropriate when some operations people have inherited large, contracted accounts but others are being asked to solicit and grow smaller accounts. In theory their roles are the same, but the level of effort required to produce the same amount of revenue or profit is very different. If you have different commission rates for different customers (house accounts, contracted accounts, new accounts, and so forth), it may be time to think about shifting to a goal-based approach.
In both the goal-based and the commission approaches, there comes a point where deceleration in the payout curve needs to happen in order to allow for windfalls or unforeseen circumstances where a rep could end up at 400 percent or more of the expected productivity level. Consider the cases where this could happen and plan accordingly. Avoid overall caps if at all possible, opting instead for a decelerated payout curve and perhaps a per-deal cap.
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.”
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."
Specifically, the new global average robot density has reached a record 162 units per 10,000 employees in 2023, which is more than double the mark of 74 units measured seven years ago.
Broken into geographical regions, the European Union has a robot density of 219 units per 10,000 employees, an increase of 5.2%, with Germany, Sweden, Denmark and Slovenia in the global top ten. Next, North America’s robot density is 197 units per 10,000 employees – up 4.2%. And Asia has a robot density of 182 units per 10,000 persons employed in manufacturing - an increase of 7.6%. The economies of Korea, Singapore, mainland China and Japan are among the top ten most automated countries.
Broken into individual countries, the U.S. ranked in 10th place in 2023, with a robot density of 295 units. Higher up on the list, the top five are:
The Republic of Korea, with 1,012 robot units, showing a 5% increase on average each year since 2018 thanks to its strong electronics and automotive industries.
Singapore had 770 robot units, in part because it is a small country with a very low number of employees in the manufacturing industry, so it can reach a high robot density with a relatively small operational stock.
China took third place in 2023, surpassing Germany and Japan with a mark of 470 robot units as the nation has managed to double its robot density within four years.
Germany ranks fourth with 429 robot units for a 5% CAGR since 2018.
Japan is in fifth place with 419 robot units, showing growth of 7% on average each year from 2018 to 2023.
Progress in generative AI (GenAI) is poised to impact business procurement processes through advancements in three areas—agentic reasoning, multimodality, and AI agents—according to Gartner Inc.
Those functions will redefine how procurement operates and significantly impact the agendas of chief procurement officers (CPOs). And 72% of procurement leaders are already prioritizing the integration of GenAI into their strategies, thus highlighting the recognition of its potential to drive significant improvements in efficiency and effectiveness, Gartner found in a survey conducted in July, 2024, with 258 global respondents.
Gartner defined the new functions as follows:
Agentic reasoning in GenAI allows for advanced decision-making processes that mimic human-like cognition. This capability will enable procurement functions to leverage GenAI to analyze complex scenarios and make informed decisions with greater accuracy and speed.
Multimodality refers to the ability of GenAI to process and integrate multiple forms of data, such as text, images, and audio. This will make GenAI more intuitively consumable to users and enhance procurement's ability to gather and analyze diverse information sources, leading to more comprehensive insights and better-informed strategies.
AI agents are autonomous systems that can perform tasks and make decisions on behalf of human operators. In procurement, these agents will automate procurement tasks and activities, freeing up human resources to focus on strategic initiatives, complex problem-solving and edge cases.
As CPOs look to maximize the value of GenAI in procurement, the study recommended three starting points: double down on data governance, develop and incorporate privacy standards into contracts, and increase procurement thresholds.
“These advancements will usher procurement into an era where the distance between ideas, insights, and actions will shorten rapidly,” Ryan Polk, senior director analyst in Gartner’s Supply Chain practice, said in a release. "Procurement leaders who build their foundation now through a focus on data quality, privacy and risk management have the potential to reap new levels of productivity and strategic value from the technology."
Businesses are cautiously optimistic as peak holiday shipping season draws near, with many anticipating year-over-year sales increases as they continue to battle challenging supply chain conditions.
That’s according to the DHL 2024 Peak Season Shipping Survey, released today by express shipping service provider DHL Express U.S. The company surveyed small and medium-sized enterprises (SMEs) to gauge their holiday business outlook compared to last year and found that a mix of optimism and “strategic caution” prevail ahead of this year’s peak.
Nearly half (48%) of the SMEs surveyed said they expect higher holiday sales compared to 2023, while 44% said they expect sales to remain on par with last year, and just 8% said they foresee a decline. Respondents said the main challenges to hitting those goals are supply chain problems (35%), inflation and fluctuating consumer demand (34%), staffing (16%), and inventory challenges (14%).
But respondents said they have strategies in place to tackle those issues. Many said they began preparing for holiday season earlier this year—with 45% saying they started planning in Q2 or earlier, up from 39% last year. Other strategies include expanding into international markets (35%) and leveraging holiday discounts (32%).
Sixty percent of respondents said they will prioritize personalized customer service as a way to enhance customer interactions and loyalty this year. Still others said they will invest in enhanced web and mobile experiences (23%) and eco-friendly practices (13%) to draw customers this holiday season.