Operations
02 February 2023
Nextuple brings composable commerce to fulfillment
Microservices architecture allows the company to give retailers ownership over omnichannel software.
×
The Current, delivered daily.
Ecommerce news, right to your inbox.
Sign up for our email newsletter.
Subscribe.sticky-cta-wrapper {
width: 100%;
position: fixed;
bottom: 0;
left: 0;
background-color: var(--black);
}
Subscribe to The Current newsletter
With the growth of digital commerce, providing consumer choice is at the center of all of a retailer’s operations.
In recent years, that became especially evident in the area of fulfillment.
Ecommerce made the process of moving an order into place for delivery a crucial function, as the ability to source products close to demand quickly was an imperative.
“Retailers are looking to own more of their fulfillment destiny because consumer expectations have increased,” Chap Achen, VP of product strategy and operations at Nextuple, told The Current on the floor of the NRF Big Show 2023. “Fulfillment is now a competitive weapon.”
As digital operations increasingly blend with the physical store, a host of new fulfillment options are coming online. They can have an item delivered from the store on the same day, or they pick it up. Even a wider offering such as in-store pickup has a host of different choices inside of it. Consumers can pick up an item at a counter, or a locker. They can stop by anytime, or schedule a pickup on Saturday.
While this optionality helps retailers meet customers where they are, it also adds complexity to the systems that run them, and requires operational adjustments to put them in place.
It means the software that powers fulfillment operations must also meet retailers where they are, Achen said. Many retailers have specific setups and processes. They may have a store located in a mall with a nearby distribution center, or a series of small storefronts. At the same time, retailers need to have flexibility with the software that they use so they can provide options to consumers.
For Nextuple, the vehicle to provide this is microservices, which describes a software architecture in which the parts of an application work independently, but are also built to work together. The company harnesses microservices to offer an ownership-centered approach to deploying its software through a product called Nextuple Fulfillment Studio.
“Today, there are only two ways to buy software: [software as a service] or custom building,” Achen said. “You can do it yourself or with a partner. We are a third option. We will help you accelerate your time to market because we've already developed 80% of your requirements, and then we'll give you that as source code.”
The software is composable. Retailers own the source code, and they can iterate. Along the way, they have the ability to swap out components of the software for pieces that enable them to better respond to the needs of customers, if they choose.
It shows how composable commerce is spreading throughout retail operations. A first wave of development applied the approach to the “front-end” of commerce, such as operating an ecommerce store and marketing. With fulfillment software such as Nextuple coming online, there are signs it is being applied to backend operations, as well.
In all, Nextuple offers 14 microservices as part of the Studio, including engines for same-day delivery, storage, inventory management and sourcing.
At the NRF Big Show, Nextuple announced that it is live with five national omnichannel retailers. Together, they have $50 billion in annual revenue and 7000 store locations.
The company is aiming to serve a group of retailers that are widely known, but still looking to hone operations for omnichannel retail. When it comes to fulfillment technology, the retail landscape has distinct tiers.
The largest players have built their own fulfillment tech to power logistics networks that reach across the country.
Name brand retailers with a national presence also want to offer competitive fulfillment, but haven’t made the move to acquire platforms or developed their own software in-house. Typically, they would seek out a software provider that offers a set platform on a subscription model. But the particular needs of commerce require software that powers physical operations with digital tools. That requires a different type of solution, Nextuple believes.
“We want to level the playing field,” Achen said. “We're helping the mid-tier [retailer] compete with Target, Amazon and Walmart.”
Subscribe to The Current Newsletter
SubscribeTrending in Operations
Shopper Experience
08 June 2023
AI, but make it fashion: Rent the Runway, Stitch Fix look generative
"Fashion ecommerce is one of the most cumbersome customer experiences that exists," said Rent the Runway CEO Jennifer Hyman.
Photo by Daniel G. Wells III, used under a Creative Commons license.
The rise of generative AI is bringing with it a groundswell of interest and concern about how the capability to automatically synthesize information and create something new will change how we work.
Given that AI will sit within the architecture of our digital lives, it’s also worth considering how the technology will introduce new tools for other aspects of life, as well.
For two ecommerce innovators in the apparel space, it’s a time to explore how it will transform shopping. Rent the Runway is set to roll out new AI-powered search capabilities, while Stitch Fix is drawing on a long history with data science and machine learning to personalize the inventory buying process.
Here’s a look at the initiatives underway at each company, and their visions for the future:
Rent the Runway: From search to concierge
Rent the Runway is putting a focus on the customer experience this year as it seeks to retain more subscribers and continue a yearslong push toward profitability.
This is resulting in the introduction of a variety of new initiatives, from the addition of an extra item to all orders to speeding up page load times. Yet as CEO Jennifer Hyman zooms out, she sees change being necessary on an industry-wide level in fashion. Beyond adding new features, AI can play a transformational role.
“I think that fashion ecommerce is one of the most cumbersome customer experiences that exists. You are searching through pages and pages and pages of content to find the items that you like and no one likes doing this,” Hyman told analysts on the company’s earnings call this week. “As an industry that still is selling physical products, AI is going to be -- fashion is going to be a major beneficiary as an industry.”
As a rental service, Rent the Runway has a distinct niche in fashion that lends itself to AI’s advantages, Hyman said. As opposed to a retailer that a consumer may visit a couple of times a year, RTR is used frequently by customers. So Hyman said there are opportunities to turn Rent the Runway into a “utility” by creating a more seamless experience.
This frequent use also provides a “highly unique” dataset, Hyman said. They know what a customer is planning to do based on what they rented. They know whether she liked or disliked an item, and many customers are reviewing 10 items per month. They know her size and how an item fits. This can be put to work in tools that allow customers to ask questions, and find answers.
The first application that combines AI and these advantages will appear in the coming weeks, when Rent the Runway plans to launch a beta of AI-driven search. The tool will allow customers to search for common terms or use cases for an item. So a person will be able to write “Miami vibe,” “‘clambake in Nantucket,” or “tropical motifs,” and receive results about what to wear for such an occasion.
The goal is to help customers sift through the endless aisle, and instantly finds what's right for them.
“I think that across all fashion sites, all over the world, the way that people are searching for product is fairly vanilla, it's fairly functional, right?" Hyman said. "You can go to a site and search for a T-shirt, you can go to a site and search for a black-tie gown. The fact that we're going to be able to enable our customers to search how they actually want to use this closet in the cloud, to search for items to wear to my beach bonfire this weekend, that is a completely different way to search, and I think that it really brings out the value proposition of what a closet in the cloud is all about."
Hyman sees this as a first step in the company using AI models to improve the product experience, and expects more tools to appear in the coming months. RTR is also introducing an SMS concierge experience for onboarding that allows customers to text with a member of the customer service team. The company is already exploring ways that AI can be incorporated into that tool, as well.
In the longer term, Hyman said the company has a vision that will leverage AI to allow customers to communicate with Rent the Runway asynchronously across different modalities, and have a stylist that is constantly available to recommend items, pick out new inventory and answer questions.
“If we are utilizing AI appropriately over the next few years, I see no reason why someone even has to come to our website,” Hyman said.
Stitch Fix: Inventory buying and beyond
Stitch Fix has long married AI with human curation to provide outfits on a subscription basis.
“For years, we have utilized capabilities in generative AI, injecting scores and language into our personalization engines and, more recently, automatically generated product descriptions,” CEO Katrina Lake told analysts. “We have also developed and implemented more advanced proprietary tools such as outfit generation and personalized style recommendations that create a unique and exciting experience we believe is unmatched in the market.”
A new area where the company is applying AI is inventory buying.
“We have historically utilized a number of tools to make data-informed decisions with our inventory purchases,” Lake said. “Now, directly leveraging our personalization algorithms, we have developed a new tool that creates an exciting paradigm shift, which will utilize math scores at the client level to drive company-level buying actions. We expect the clarity of demand signals at the individual client level to drive more proactive and efficient inventory decisions as a company. And because of this, we expect to see higher success rates on fixes and drive increases in keep rates and [average order value] over time.”
Early results are promising. When compared with existing buying tools, testing showed a 10% lift in keep rate and AOV. By the end of this quarter, Stitch Fix expects 20% of all purchase orders to be algorithmically informed.
With experience using AI and a team in place to build, Stitch Fix is investing in the technology. Like Rent the Runway, it also has a unique dataset that offers an immediate advantage.
Here are Lake’s thoughts about how Stitch Fix’s AI strategy:
One of the things that I love about our experience is that we have generative AI that's really in more of a visual format. And so, the outfits that we have in our app, those are actually taking into account your preferences, what we know about you, and then in combination with what we know that you own in your closet. And to be able to kind of continue to push that technology and to be able to continue to give people more value in their experience with Stitch Fix, that's a really good example of, I think, a capability that is, firstly, really aligned with our capabilities around data and personalization and really unique to us.
And then I think it's also really compelling because I really think that pushes us as we think about what that addressable market is. I think if we can push outfits to be something that can be an asset to everybody, I think that is a universal thing that people would love to be able to have, is to have access to advice on a daily basis around what to wear and how to wear it.
While these are distinct companies, their plans lead us to a common conclusion: While the talk around generative AI might be new, many technology-forward companies already have assets sitting inside them that can be leveraged to build new tools. Uncover what’s already there, learn about the AI’s capabilities and develop a solution that's right for your organization. Then, talk to customers to determine how to improve it. It might mean commerce looks different, but that’s okay. The point is to create a better experience.
Keep reading...Show less
Loading...
Subscribe to The Current Newsletter
SubscribeLatest from Operations
.sticky-cta-wrapper {
width: 100%;
position: fixed;
bottom: 0;
left: 0;
background-color: var(--black);
}
Subscribe to The Current newsletter