COVID-19 has altered many aspects of our daily lives. Nowhere is this fact more noticeable than in the soaring demand for last-mile delivery: In 2018, the last-mile delivery market in North America was estimated at $31.25 billion. Prior to the pandemic, it was expected to grow to $51 billion in 2022 — a projection that is probably conservative in light of current events.
Once regarded more as a “nice to have” capability, rather than an essential aspect to strategy for capturing market share, last-mile delivery is now a “must have” component of any business plan. Just a few months back, most customers were willing to pay a 12 percent premium for the convenience of last-mile delivery. Today, bringing orders right up the customer’s doorstep is the only way for many retailers and restaurateurs to compete and satisfy demand.
It is more important than ever before for businesses to move fast in differentiating themselves in their last-mile capability. As necessary as it is to move quickly, it is also vital to make decisions that will stand them in good stead for the longer term.
1. Shifting consumer expectations: Pre-pandemic “I want it now” expectations of same-day and same-hour delivery are evolving into minimum basic services. Previously, 56 percent of online shoppers between the ages of 18 and 34 expected same-day delivery, while 61 percent of consumers were prepared to pay an additional charge for the convenience of same-day service. This trend will only accelerate in light of the COVID-19 outbreak, as customers perceive door-to-door delivery options to be a safer alternative.
2. Rapid technology advancement: The rapid progress in delivery technologies, such as drones and artificial intelligence (AI)-enabled autonomous delivery vehicles, is driving down labor costs, reducing dependency on worker availability, and enabling round-the-clock delivery. The market for autonomous delivery vehicles alone is estimated to reach $45 billion by 2027. Furthermore, delivery network carriers (DNCs) are constantly improving their logistics platforms to perform the most deliveries in the fewest number of miles. Each of these companies has an engineering department focused on making the batching and chaining of deliveries increasingly efficient.
3. New talent models: The sharing economy is also providing answers to some of the inherent inefficiencies of last-mile delivery. As the novel coronavirus has demonstrated, scaling up capabilities fast is easier said than done: hiring drivers, purchasing vehicles, and building a delivery fleet represent a significant financial burden. DNCs can reduce the burden, but at a cost.
Retailers and restaurateurs are two sectors whose business models are enhanced by an effective last-mile delivery strategy. The convergence of trends and rise in last-mile options have created an opportunity to differentiate customer experience, streamline operations, capture value from insurance expenditures, and gain market share. However, both participants must carefully assess and balance their investments in specific delivery models and technologies, without misallocating precious capital. While these unprecedented times create significant challenges, opportunities exist for those able to deploy a successful last-mile delivery strategy. Across this ecosystem, three archetypes of companies are engaging in a range of delivery models — generalists, specialists, and underdogs.
Deciding how best to pursue or blend delivery models requires careful consideration. In addition to the company’s business strategy and scale considerations, each model must be evaluated across key workforce and risk-related dimensions.
A pure-play owned and operated fleet model is a traditional approach that represents a high degree of risk and cost for retailers and restaurants. Many of #TheGeneralists will deploy this model as they often have a strategic eye to the longer-term reward. The ability to fully own the customer experience, while using robust analytics capabilities to leverage key data (such as purchasing patterns, consumer sentiment, and demographic data), ultimately enables them to grow their core business. However, adopting this model does not come without risks. First, the costs associated with a driver’s compensation, training, and benefits are the responsibility of the organization. Second, delivery drivers have limited career options if operating in a pure delivery capacity. That being the case, the business must deal with employee churn and recruiting costs. Last, the organization is more exposed to the risks of auto accident, workplace injury, and food-borne illness liabilities.
A DNC model on the other hand, enables retailers and restaurateurs to transfer a portion of the risks to one or more DNC providers. Employees of DNC providers often adopt a “gig” mindset, with the desire to engage in a transactional fashion, allowing on-demand, surge capacity at a fraction of the cost of owning a delivery fleet. As a result, a DNC model is often a more practical choice for some #TheSpecialists and #TheUnderdogs. A DNC can also help these participants access commissary kitchens, whereby dishes from multiple brands can be prepared under one roof and deliveries can be fulfilled. This asset-light model operators to break into new geographies/markets without the overhead of owning or leasing a brick-and-mortar location and owning a delivery fleet. That said, retailers and restaurateurs leveraging a DNC model will likely give up their ability to access and analyze valuable customer behavior data about how their products are ordered and received, potentially putting them at risk of being disintermediated by the DNC. Who ultimately “owns” the customer if a new intermediary that controls that experience is introduced?
The blending of these models requires retailers and restaurateurs to consider both external challenges as well as internal considerations.
Retailers and restaurateurs often deploy a “portfolio approach” to last-mile delivery options, ultimately residing somewhere along the spectrum of these models. Companies with the scale and ability to harness insights from data are likely to in-source and invest substantively in their own last-mile solutions, while smaller organizations will be more likely to partner with DNCs to handle delivery. Mergers-and-acquisitions (M&A) activity is also an option for large corporations to obtain last-mile delivery capacity. A prime example of this is the retail giant Target’s purchase of Shipt. There are also instances where large delivery operations may purchase a retailer, as happened with Amazon’s acquisition of Whole Foods Markets. These opportunities are increasingly likely to emerge as the current pandemic progresses.
The blending of these models requires retailers and restaurateurs to consider both external challenges, as well as the following internal considerations:
Demand planning: How will demand patterns change over time, especially in the current and post-pandemic world?
Customer experience: Can I create a differentiated experience by including last-mile delivery in my strategy?
Logistics and operations: Are there economies of scale to leverage with existing infrastructure, technology, and logistics?
Data-driven insights: How valuable is the underlying, anonymized order-preference data of this business? What will it cost to use this data in actionable ways?
Risk management: Are there liability and/or workers’ compensation issues unique to the current and future operating environment? What kinds of loss controls should be in place? What health considerations will be required to protect my workforce and customers following COVID-19?
Delivery model choices may seem obvious. However, given the evolving business landscape — market uncertainty created by the COVID-19 pandemic, rapidly maturing technologies, and increasing customer expectations — a seemingly appropriate solution today, may not be the right choice tomorrow.
When assessing future last-mile delivery models, organizations must factor in longer term trends that are likely to unfold in a post-pandemic world — evolving workforce and regulatory considerations, a migration to autonomous mobility modes, and the impacts of climate change:
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