Operations
10 February 2023
Fluent Commerce wants to ensure retailers sell only what's in stock
The software company's latest data product provides inventory visibility.
Photo by Artificial Photography on Unsplash
The software company's latest data product provides inventory visibility.
For retailers, two steps are essential to completing a sale: An item has to be available to buy, and then it has to be delivered to the customer in a satisfactory time.
In the store, these were often coupled together, and easy to complete. A customer saw a product available on the shelf, grabbed it and took it home.
Ecommerce broke them apart.
A T-shirt that is listed on a digital shelf must be available for an associate to pick from a real one. Then, the T-shirt has to be positioned in proximity to the customer so it can be delivered in a timely manner.
As more ecommerce fulfillment methods have emerged, this path has evolved over time, too.
The initial wave of ecommerce growth put a focus on the fulfillment and delivery part of the equation. Items were largely sent to warehouses before they were sent to the customer. The inventory The trick of much logistics innovation during this period, with Amazon at the vanguard, was to improve the speed and efficiency over the last mile, in order to delight customers and keep costs down.
But as more retailers who started in brick-and-mortar stores add ecommerce capabilties, ensuring that an item is available on a shelf is available to buy is getting more complex. These retailers see stores as important pieces of their ecommerce operations.
That presents another issue: If an item is purchased in the store, it has to register in the online assortment that the item is no longer available.
If not, it creates the potential that an item listed online won’t actually be available, and could be oversold online. Without this step figured out, the fulfillment and delivery process can’t even start. And if an item is oversold, it can mean lost revenue.
“Selling a product and then not being able to fulfill it is probably about the worst customer experience you can offer,” Fluent Commerce Chief Strategy Officer Jamie Cairns told the The Current on the floor of the NRF Big Show. “I'd much rather be told, ‘Sorry, we don't have one of those,’” than to be told that a retailer doesn't have the item, and then see the order canceled.
Cairns said this all traces back to one issue: Inventory visibility.
If the data on what’s in stock isn’t presented in an accurate and up-to-date manner, the potential for overselling only increases.
While stock-outs gained a lot of attention during the supply chain crisis of the last two years, Cairns said overselling is a longstanding issue in retail. A recent study by Incisiv concluded that a lack of inventory visibility is a top-three issue facing retailers.
To address it, Fluent Commerce extended its experience providing order management software for retailers such as L’Oréal, Aldo Group and Prada to a new data product.
Called Fluent Big Inventory, the hub uses machine learning to ingest data from disparate sources ranging from warehouses to stores to suppliers, and provide a single picture of available inventory.
Along with bringing data together, time is also a big part of the solution. In some cases, retailers may only send inventory updates to the systems that operate ecommerce once a day. So if that update is sent in the morning, and someone buys something in the afternoon, the listing could be out of date when the sale is made.
“We've seen a huge increase in the speed and processing power of inventory, which means we can do it more often, which means our retailers can send us more frequent updates about stock movements in their business,” Cairns said.
Currently, customers using a pilot are seeing greater than 50% reductions in oversell, Cairns said.
Given the importance of data in omnichannel retail, inventory visibility has a role beyond direct sales. It can help to power the demand-generation side of ecommerce, such as search and merchandising, personalization, recommendations, display ads and demand forecasting.
“Making other systems inventory-aware allows them to be optimized and to deliver better value,” Cairns said.
As the number of capabilities available to retailers grows, such foundational data will only become more important. Those who have timely and accurate information will be in the best position to use these strategies to take their business to new heights.
"Fashion ecommerce is one of the most cumbersome customer experiences that exists," said Rent the Runway CEO Jennifer Hyman.
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 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 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.