2020 Retail Trends, Predictions, and Insights - A Look Forward: Syte
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Table of contents Don’t underestimate search 03 Who is using search? 03 Visual search in 2019 03 The untapped potential of Visual AI 04 Bringing innovation in-store 07 Clicks vs bricks 07 Brick-and-mortar turns local 07 Experience is everything 07 Technology’s role in the new brick and mortar 08 Unleashing the power of data 11 Fortune favors the data rich 11 Clean up catalog data 11 Understand user desire 12 Personalize user journeys 12 Next level AI in retail overview 14 Omnichannel experience with IoT 14 Optimized and predictive operations 15 Dynamic outreach 15 Guided product discovery 15 Where to go from here 17
Don’t Underestimate Search Amidst Black Friday chaos, record breaking Singles’ Day sales, and retail code freeze, wrapping up the end of the year can be a high-stress time for retailers. However, just as important as nailing the end-of-year sales, is being prepared for the challenges of the coming year. Whether it is evolving expectations for user experience, the shifting role of data, or nailing eCommerce search and navigation, this eBook will outline the topics that can’t be ignored in 2020. Who is Using Search? Shoppers who are interacting with search on an eCommerce site, whether that be voice, visual, or textual, are some of the most high-intent shoppers. Significant effort should be made to ensure their experience is as smooth and accurate as possible. In an analysis of over $1 billion in sales on the Shopify platform over Black Friday and Cyber Monday, it was found that search yielded a conversion rate of 3.04%, following only behind email marketing with a conversion rate of 4.29%.1 Search-shoppers come to the site with a clear idea of what they are looking for. They expect that, if a similar item is in stock, it be presented quickly and easily. Visual Search in 2019 As consumers are increasingly looking towards Instagram, Pinterest, and more recently TikTok for their style inspiration, it is not just textual search that retailers need to consider. The year 2019 was when visual search officially arrived on the retail radar. From Farfetch to Tommy Hilfiger, retailers everywhere started leveraging consumers’ photo-first mentality by implementing this innovative technology. But is this just a flashy new feature, or something here to stay? The visual search market is projected to grow at a CAGR of 17.5% between 2019 and 2027.2 Companies like Pinterest, who chose to implement visual search to help users visually discover, navigate, and buy through their platform, have seen that 80% of users start with a visual search when shopping.3 Visit us at www.syte.ai or contact us at info@syte.ai 03
Don’t Underestimate Search With brands like Intu reporting total website conversion uplift of +11% as a result of implementing visual search technology on their website4, looks like visual search is here to stay. The Untapped Potential of Visual AI But the current use of Visual AI to power visual search is not the limit of what this technology can do. The same innovative technology that powers visual search can be used for a number of use cases to solve prominent pains in the retail industry. Visual AI technology can be used to analyze, track, and predict growing trends by processing searches and extracting the metadata. Seen below is a sampling from millions of visual searches from Syte’s database to extract the top 15 most common searches. By leveraging Syte’s Visual AI technology not just for the user-facing visual search feature, but also as an analytics and predictive tool, retailers can gain valuable insights into consumer trends and make crucial business decisions accordingly. The Styles That Will Be Rockin’ It In 2020 Visit us at www.syte.ai or contact us at info@syte.ai 04
Don’t Underestimate Search Learn how a few retailers are leveraging their search to engage shoppers. Farfetch Farfetch, the UK-based luxury marketplace, partnered with Syte to implement visual search on their iOS mobile app. Farfetch defines themselves as a tech company first, and a retail company second. With that digitally savvy mindset, the luxury marketplace decided they needed accurate visual search to leverage the social media inspiration shoppers experience every day on Instagram, Pinterest, and more. PrettyLittleThing PLT is a UK-based online retailer that caters to female shoppers aged 16 to 24. Wanting to leverage their strong online and social media following, PLT decided to implement Syte’s visual search to allow users to upload images and screenshots to shop directly from their online inspiration. After implementing the feature, PLT experienced substantial conversion uplift (+11%) across their entire website and total revenue per purchase uplift of +2.3%. Visit us at www.syte.ai or contact us at info@syte.ai 06
Bringing Innovation In-store Clicks vs Bricks As skeptics continue to debate whether the future of retail lies in clicks or bricks, it is clear that physical stores shouldn’t be written off just yet. In a McKinsey & Co. report, it was predicted that more than 80 percent of U.S. retail sales in 2020 will still happen within the four walls of a store.5 That being said, it doesn’t mean that brick-and-mortar retail will continue to look like the stores we’ve known in the past. Brick-and-Mortar Turns Local As malls and shopping centers continue to represent the “retail apocalypse,” stores are looking for alternatives to the classic model. Brands such as Reformation, Warby Parker, and Outdoor Voices are looking local, opening pop-up shops in residential neighborhoods to tailor to the convenience of online shopping, with the experience of in-store6. By occupying smaller stores which hold leaner inventory exhibited in a “showroom” style, these brands are using their physical stores as a means for shoppers to get to know their brand through touching and feeling the products, without necessarily expecting all transactions to take place in-store. Experience is Everything The convenience of online has become impossible to ignore and the draw to visit brick- and-mortar stores is shifting from transactional to experiential. Experience-first retailers like Glossier have built their brand on instagramable decor and ceremonious store openings which are known to draw mile-long lines. These growing trends have led retailers to begin measuring the added value of physical retail stores as a means to acquire new users and strengthen their brand story, outside of the increasingly saturated online marketing field.7 As Doug Stephens explains in his book “Reengineering Retail,” if brands start calculating the marketing value of consumers’ undivided attention while they are in-store similarly to how they calculate online impressions, investing in strong branding and memorable in- store experiences is well worth the cost. Visit us at www.syte.ai or contact us at info@syte.ai 07
Bringing Innovation In-store Technology’s Role in The New Brick-and-Mortar To further increase retailers’ ability to measure the impact and efficiency of brick-and- mortar stores, in-store technology has become more commonplace. Innovations such as Smart Mirrors use Visual AI technology to help shoppers locate similar items in the store to what they are wearing, or send a screenshot of an inspiration image and locate available similar items. In a study by Retail Customer Experience, 51% of respondents who use retail mobile apps use them while shopping in-store. This is mainly to redeem in-store discounts, compare prices, view product ratings, and find products.8 Instead of shoppers resorting to checking their phones while in the brand’s store, empowering in-store staff with clienteling apps that can locate products in-store, help shoppers find what they are looking for. In-store apps also give insightful data about stock which can help make the shoppers’ journey a memorable one. By integrating online technology in-store, retailers are able to paint a more holistic picture of their shoppers’ journeys in order to understand their full omnichannel experience. Visit us at www.syte.ai or contact us at info@syte.ai 08
Bringing Innovation In-store Here are a few retailers that got brick-and-mortar right in 2019. Amazon It wouldn’t be an end-of-year retail roundup without mentioning Amazon. The online-first retail giant began opening physical stores early 2018, making headlines for investing in brick-and-mortar in the age of the “retail apocalypse”. However, 9 of the 10 most successful online retailers currently operate physical stores. As the cost of new customer acquisition online continues to grow, brick-and-mortar is becoming the new way to attract online traffic. Data shows that retailers see an average increase of 37% in web traffic after a new physical location is opened.9 Innovations like automatic check out have also worked to reignite excitement about interacting with physical retail. Source: Amazon Visit us at www.syte.ai or contact us at info@syte.ai 09
Bringing Innovation In-store Bonobos Bonobos, another strong online-pure player, opened their first physical store in 2012 as a place for shoppers to go and get custom fittings, later receiving their tailored products at home. This year, however, they have expanded their in-store offering to include a “try before you buy” service. This expansion allows shoppers to actually leave with products in hand, ordering up to 12 products online and going to the store to try them on. Anything that works, they purchase and leave with. Those that don’t are left at the store with no hassle of return. A Bonobos spokeswoman said that of those who are using the service, about 35% are new customers and 65% are repeat customers. They have a higher average order value and conversion rate than those who don’t use the service.10 We can expect to see more creative blurring of online and offline experiences as retailers attempt to deliver the convenience of online with the emotional experience of in-store. Source: Bonobos Visit us at www.syte.ai or contact us at info@syte.ai 10
Unleashing the Power of Data Fortune Favors the Data Rich Brands and retailers no longer create and drive trends, subsequently feeding them to the masses. Today, consumers define the trends and it is up to brands and retailers to keep up. Because of this, it is more important now than ever for retailers be empowered with deep, detailed data to perform accurate trend tracking, predictive merchandising analysis, and stay ahead of constantly evolving trends. In fact, in a study done by alteryx and RetailWire of over 350 retailers, 73% said data is important or fully essential to their department’s success. But how can retailers ensure they are approaching data correctly? 1. Clean up Catalog Data Retailers spend an extortionate amount of time and money manually tagging products to enable product search, SEO, and analytics. However, to tag a brand’s inventory manually is bound to have a limit in terms of accuracy and scalability, especially for marketplaces who import thousands of SKUs daily. More and more brands are implementing automatic product tagging to ensure scalable, accurate product tags. Syte uses its Visual AI technology to automatically tag a retailer’s entire catalog of products directly from the product page. With a lexicon of over 15,000 attributes, this ensures structurally consistent, accurate, and deep data for every product online. Visit us at www.syte.ai or contact us at info@syte.ai 11
Unleashing the Power of Data 2. Understand User Desire Once catalog data has been enriched and organized with Deep Tagging technology, it’s time to use this data to improve analytics and user experience. Syte’s textual search solution is powered by Deep Tags, providing the most robust and delightful user experience on the market. With the data from Deep Tags and the insight into user intent from search, retailers can understand the products users are searching for and track growing trends in their inventory to optimize for coming seasons. 3. Personalize User Journeys Using Visual AI and Deep Learning to personalize user journeys can make the difference when it comes to conversion. Search users are already some of the most highly engaged consumers; well educated in what they want and ready to purchase. Using Deep Tagging data to understand the nuances of a user’s past browsing history, Syte’s technology can allow a retailer to offer the most relevant results first. Let’s take a look at a few brands that nailed data in 2019. boohoo The UK-based online retailer yields a yearly revenue of £580M by targeting mostly Gen Z and Millennial users with their trend-ready, fast fashion pieces. Boohoo implemented recommendation engines, Shop the Look and Shop Similar to supply visually similar, tailored recommendations to shoppers. By surfacing similar items to those the shopper has already shown interest in, boohoo saw 2X higher conversion rate for customers who engaged with these recommendations.11 Visit us at www.syte.ai or contact us at info@syte.ai 12
Unleashing the Power of Data Sephora Sephora was recently voted number one in online personalization by Internet Retailer due to its personalized emails, Beauty Insider loyalty program and in-store technology, such as Color IQ, which scans customers’ skin to help them determine the right foundations, concealers and lipsticks for their skin color.12 Source: Forbes Visit us at www.syte.ai or contact us at info@syte.ai 13
Next Level AI in Retail Overview Completing this year-end roundup is artificial intelligence (AI), which will start playing a much bigger role in retail as the technology continues to mature in 2020. Moving beyond just improving efficiency and reducing costs, AI will continue to blur the lines between eCommerce and brick-and-mortar, and introduce ways that leverage and augment the human element in both online and offline retail. In a report by Capgemini,13 25% of the top 250 global retailers already integrate AI into their organizations. AI penetration is highest in multi-category (42%), followed by apparel and footwear (33%), food and grocery (29%) and home improvement (26%). By 2022, Juniper Research14 revealed that global retail spending on AI will grow to $7.3 billion per year from $2 billion in 2018. Using AI in customer-facing functions, eCommerce players and retailers worldwide expect to enhance customer satisfaction, increase promotion efficiency, reduce customer complaints, and churn. With advancements in machine and deep learning, what will customer experience in the coming year be like? Omnichannel Experience with IoT For 88% of retailers, using the Internet of Things (IoT) in retail will provide better customer insight than any other data gathering method, according to Oracle.15 For instance, the use of RFID tags and GPS sensors that power smart shelves and mirrors allows retailers to get a granular-level understanding of the customers. AI-powered IoT will enhance the retail experience of customers, delivering dynamic pricing and personalized recommendations based on previous shopping behavior both online and offline. Visit us at www.syte.ai or contact us at info@syte.ai 14
Next Level AI in Retail Overview Optimized and Predictive Operations With data gathering and analysis at scale, AI allows retailers to optimize operations such as stock replenishment and inventory management. IBM and NRF16 found that 85% of retailers plan to use intelligent automation for supply chain planning by 2021. In the same period, 79% of retailers expect to use intelligent automation for customer intelligence. Armed with actionable insights, retailers will be more efficient at forecasting demand, managing space for stocks, and showcasing the availability of products to shoppers. Dynamic Outreach IDC17 predicted that by 2019, “40% of retailers will have developed a CX architecture supported by an AI layer […] providing up to a 30% conversion increase and thus up to 25% higher revenue.” Hyper micro-personalization in eCommerce has a lot more room for growth, and AI is giving its push toward widespread use. Besides the increasing focus on making eCommerce mobile-responsive, AI will help retailers deliver real-time, contextual engagement—from highly tailored rewards to relevant marketing campaigns based on a detailed consumer profile. Guided Product Discovery According to Sonar,18 70% of US millennials, and 62% of millennials in the UK, appreciate retailers using AI to show more interesting products. Also, 72% and 64%, respectively, believe that brands using AI will be able to accurately predict what they want. AI-powered visual search supports a smooth product search experience. Eliminating the difficulty of finding the right keywords, visual search enables shoppers to find products of interest with only an image. Couple visual search with conversational and guide tools, and retailers will be able to offer a 360-degree approach to online and offline product discovery. Visit us at www.syte.ai or contact us at info@syte.ai 15
Next Level AI in Retail Overview Discover the retailers that crushed guided product discovery in 2019. Venca Venca is one of the leading fashion retailers in Spain. With a market share of 60%, Venca sells fashion, cosmetics, textiles, and home products both online and through catalogs. To keep up with the shifting retail landscape, Venca needed to innovate the buyer’s journey. With visual search and intelligent recommendation engines, the Spanish retailer delivers better customer experience that improves engagement and loyalty. “Combining textual search and visual search, the conversion is 8X more. Therefore, the two kinds of search are not cannibalizing each other. Instead, they’re complementing each other,” shared Jordin Badia, Venca’s CIO-CDO Digital. Conforama As furniture and home décor shopping becomes increasingly popular, retailers must find ways to encourage product discovery with a guided browsing experience centered on the product qualities shoppers care about. French retailer Conforama partnered with Syte to becoome one of the first retailers within the global home décor and furnishings industry to offer visual search. Available on mobile and desktop, customer inspiration from the real- world, social media, catalog stylings, and more are now easily discoverable and shoppable at Conforama. Visit us at www.syte.ai or contact us at info@syte.ai 16
Where to Go from Here Consumers today are demanding more out of the shopping experience, which will surely persist in 2020 and beyond. At the same time, there a lot of digital solutions available in the market right now to deliver what consumers are looking for. Retailers not only have exciting new ways to identify ever-changing customer needs but also powerful tools to win and retain consumers in the coming years. To decide which technological capability to add to an eCommerce platform or brick-and-mortar store, here are four essential steps to follow: 1. Define customer needs and business goals 2. Do a deep research about possible solutions and providers 3. Conduct due diligence and evaluate 4. Create a timeline towards implementation Whether it is transforming user experience, getting more out of data, or redefining product search and site navigation, combining the power of technology with a sound customer-centric strategy is a strong foundation as the retail revolution advances. Ready to see how visual search works on your website or app? Check out Syte’s Buyer’s Guide to Visual AI for Retail to know what requirements to look for, explore available options, and keep track with a vendor evaluation process. Visit us at www.syte.ai or contact us at info@syte.ai 17
Sources 1 E-commerce conversion rates - Smart Insights.” https://www.smartinsights.com/ecommerce/ ecommerce-analytics/ecommerce-conversion-rates/. Accessed 17 Dec. 2019. 2 Global Visual Search Market Will Reach USD 28,470 Million .... 24 May. 2019, https://www. globenewswire.com/news-release/2019/05/24/1842038/0/en/Global-Visual-Search-Market-Will- Reach-USD-28-470-Million-By-2027-Zion-Market-Research.html. Accessed 17 Dec. 2019. 3 Pinterest brings Shoppable Pins to visual searches for fashion .... 17 Sep. 2019, https:// searchengineland.com/pinterest-brings-shoppable-pins-to-visual-searches-for-fashion-home- products-322235. Accessed 19 Dec. 2019. 4 Discover how the UK’s largest online shopping center Intu .... https://www.syte.ai/intu-case-study/. Accessed 17 Dec. 2019. 5 The future of retail: How to make your bricks click | McKinsey. https://www.mckinsey.com/business- functions/marketing-and-sales/our-insights/the-future-of-retail-how-to-make-your-bricks-click. Accessed 18 Dec. 2019. 6 The State of Fashion 2020 Report: In Troubled Times, Fortune .... 21 Nov. 2019, https://www. businessoffashion.com/articles/intelligence/the-state-of-fashion-2020-bof-mckinsey-report-release- download. Accessed 18 Dec. 2019. 7 The Most Important Metric in Retail | Opinion, Retail Prophet .... 9 Jul. 2019, https://www. businessoffashion.com/articles/opinion/measuring-the-store-of-the-future. Accessed 18 Dec. 2019. 8 Why the in-store shopping experience is irreplaceable | Retail .... 11 Sep. 2019, https://www. retailcustomerexperience.com/blogs/why-the-in-store-shopping-experience-is-irreplaceabl/. Accessed 18 Dec. 2019. 9 The Retail Apocalypse that Wasn’t: Brick-and-Mortar is Thriving. 29 Jul. 2019, https://blog. compliantia.com/2019/07/29/the-retail-apocalypse-that-wasnt-brick-and-mortar-is-thriving/. Accessed 22 Dec. 2019. 10 After successful tests, Bonobos looks to expand ‘try ... - Digiday. 20 May. 2019, https://digiday.com/ retail/successful-tests-bonobos-looks-expand-try-buy-stores/. Accessed 22 Dec. 2019. 11 Boohoo Case Study - Syte https://www.syte.ai/boohoo-case-study/. Accessed 22 Dec. 2019.
Sephora wins at online personalization - Digital Commerce 360. 20 Sep. 2019, https://www. 12 digitalcommerce360.com/2019/09/20/sephora-wins-at-online-personalization/. Accessed 23 Dec. 2019. Building the Retail Superstar https://www.capgemini.com/research/building-the-retail-superstar- 13 how-unleashing-ai-across-functions-offers-a-multi-billion-dollar-opportunity/ Accessed 7 Jan. 2020. Retail spending on AI to reach $7.3B by 2022 1 Feb. 2018, https://www.retaildive.com/news/retail- 14 spending-on-ai-to-reach-73b-by-2022/516170/ Accessed 7 Jan. 2020. The Impact of Emerging Technology on CX Excellence https://go.oracle.com/ 15 LP=82668?elqCampaignId=211872 Accessed 7 Jan. 2020. The coming AI revolution in retail and consumer products https://www.ibm.com/downloads/cas/ 16 NDE0G4LA Accessed 7 Jan. 2020. 17 IDC FutureScape: Worldwide Retail 2018 Predictions Oct 2017, https://www.idc.com/research/ viewtoc.jsp?containerId=US42404617 Accessed 7 Jan. 2020. 18 https://www.forbes.com/sites/rachelarthur/2016/06/15/future-of-retail-artificial-intelligence-and- virtual-reality-have-big-roles-to-play/#c6896a67f9df Accessed 7 Jan. 2020.
About Syte Syte is a Visual AI technology provider that empowers retailers to tap into the personal inspiration of individual shoppers and deliver the right products at the right time, using the most accurate artificial intelligence on the market. Founded in 2015, Syte developed the camera feature for leading brands such as Farfetch, Marks & Spencer, boohoo, Tommy Hilfger, and numerous others, leveraging partnerships with technology innovators, including Microsoft, and SAP. To date, the company has raised $30 million from investors including Viola Ventures, Storm Ventures, Commerce Ventures, Axess Ventures, NHN Ventures, Magma, Naver Corporation, Line Corporation, Remagine Ventures, North Base Media, KDC Ventures and Lyra Ventures. To learn more, visit: www.syte.ai or follow us
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