3 Research-Backed Ways AI Enhances Omnichannel Shopping

For retailers to win over savvy consumers in 2024, shopping must be personalized and seamless, harmonizing online and offline experiences. Here are 3 research-baked ways AI delivers on those rising expectations.

  • Prioritizing both digital and in-store shopping experiences will be critical in 2024, as both online and in-store consumer demand grow, often hand-in-hand.
  • Retail stands to be the industry that will see the biggest gains from AI next year, as North American retailers who use AI are predicted to see a 14% boost.
  • AI upgrades entire retail experiences, from enhancing product discoverability, to augmenting trend-based demand forecasting, to encouraging repeat visits that drive revenue. 

In 2024, shopping must be personalized and seamless, weaving together both online and offline experiences. Data clues brands into trends and consumers’ preferences. Then AI addresses their wants and needs across the entire retail journey, both on-and-offline. 

This embrace of AI will only ramp up as time goes on. In fact, AI in retail is expected to reach $24.1 billion by 2028, growing at 24.4% annually.

Keeping this momentum in mind, what’s happening in retail right now?

Today, tomorrow, and beyond, it’s absolutely critical that retailers embrace data to understand consumer desires, habits, and trends, then inject the essence of each throughout their omnichannel shopping experiences.

Get omnichannel shopping insights in the 2024 Retail Roadmap 

You can explore how to do this in our 2024 Retail Roadmap and by reading below. Here, we explore three of today’s biggest trends in retail and how brands can harness the power of AI to address them and strengthen their 2024 strategy. 

Sustainable Shopping Trends: In With the Old

2024 Retail Sustainability OutlookEco-conscious shopping is on the rise. This is especially true for trendy Millennials and those in Gen Z. Climate change and high costs of living are key factors in their desire for price-sensitive, value-driven offerings. 

The Resale Market Outlook: 

The Lily AI Opportunity: Connect with shrewd shoppers by using the language of exactly what they’re looking for. Today’s TikTok-inspired thrifting trends may have slightly different names than yesterday’s. AI helps brands stay current and relevant within their product descriptions by injecting customer language throughout their entire retail ecosystems. 

Learn more about how to connect with potential customers via language in our Retailer’s Guide: 7 Ways to Elevate the Customer Experience with AI-Powered Product Attribution.

Digital Demand Trends: Growth Online

Trends for 2023's omnichannel shopping experiencesRecent data reveals an unprecedented rise in e-commerce. More Americans are shopping online than ever before, prompting retailers to intensify focus on their digital strategy.

The Digital Retail Outlook: 

The Lily AI Opportunity: Brands can leverage deep learning to predict consumer demand and keep potential customers engaged. Data-driven demand forecasting attracts consumers to your site . . . and keeps them coming back. With this type of AI-based assistance, you can anticipate exactly what your shoppers will be ordering this season (and next!).

Brick-and-Click Trends: Master Omnichannel

Master omnichannel shopping experiences in 2024Strikingly, 38% of offline sales are influenced by digital content and experiences. Brands must therefore bridge the gap between their brick-and-mortar and online shopping experiences, in order to both attract and retain customers in 2024.

The Omnichannel Retail Outlook: 

The Lily AI Opportunity: Connect with people throughout their entire journey with your brand, from their initial on-site searches, to from product recommendations, to their final order delivery. AI makes thinking like your customer easier than ever, leading to long-term satisfaction.

Meet Consumer Expectations With AI’s Assistance

The future of AI looks even stronger in 2024 and beyond, with this technology poised to revolutionize shopping, commerce, and content. The retail industry is the sector expected to see the biggest gains from this technology, as it’s a vertical with one of the highest spends on AI. 

In order to meet the demand of retailers, Lily AI is continuing to grow as well. In her interview on Bloomberg’s The Close, CEO and Co-Founder Purva Gupta said it best, “We’re getting ready for that hockey stick scale-up that’s coming up for us next year.”

With the landscape of retail and AI becoming more interconnected in 2024, it’s imperative for retailers to use it to scale up as well. 

Download Our 2024 Retail Roadmap

In the free report, we take a deep dive into on-and-offline retail experiences, meeting consumers where they are, and the industry’s outlook as AI booms.
Get the Report
2024 Retail Roadmap