AI in Retail: The $55 Billion Opportunity Awaiting You To Take Advantage

Discover how top brands like Plixlife and Diesel are leveraging AI. From boosting sales to cutting costs, uncover the AI strategies that are transforming the industry. Dive into real success stories and actionable insights.

Listen to today's edition:

In today’s Future Friday…

  • 💸How Plixlife automated 85% of all customer queries and boosted engagement by over 80% — You can do it too.

  • 🛍️ The fuss-free process Diesel created to overcome its catalog struggle using AI

  • 🔨The Founders Toolkit: secret weapons that fueled the success of today’s Success stories.

  • 📈 Audience customization and budget allocation done by AI? Salesforce and Merkle are making this possible

Alright, let’s go!

Fair warning, we’re about to be brutally candid.

If your 'cutting-edge' strategy doesn't involve AI, then you're just wielding a dull blade.

The true industry disruptors? They're sharpening their edge with AI.

Consider this: AI in the retail market this year was valued at $7.14 billion. By 2023, we’re looking at a jaw-dropping $55.53 billion, with a growth rate (CAGR) of 34.1%.

The message is clear: e-commerce is evolving, and AI isn't just an option; it's the future of seamless retail experiences.

But here's the kicker: while the potential is vast, the road isn't without its bumps. Startups and SMEs are facing major roadblocks, with 37% citing a lack of AI expertise as a barrier, according to IBM. And high costs? They're a real pain point, especially for the smaller players.

But what about the outliers, the ones who made it happen?

We wanted to know: 

  • What AI tools did retailers employ to overcome initial challenges and revolutionize the shopping experience?

  • How are they seamlessly integrating AI into their existing retail strategies to stay ahead?

  • And most importantly, with the high costs of AI implementation, especially for SMEs, how are businesses ensuring a return on their investment?

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💰 Responses from days to just seconds: How Plixlife automated its workflows

With a robust following of 243K on Instagram, Plixlife was thriving in health and wellness.

But here’s the thing, their DMs were bursting at the seams, with 400 to 500 messages daily. The sheer volume was overwhelming, causing delays and missed opportunities.

After spotting this bottleneck, Plixlife devised a game plan to:

  1. Leverage its Instagram following to cultivate a dedicated community eager for brand updates.

  2. Automate queries to enhance customer satisfaction.

  3. Transform product discovery into actual sales.

🏆 Winning Moves — Golden Nuggets

Plixlife played it smart and used LimeChat, an Internet Relay Chat (IRC) client solution that helps e-commerce brands manage customer queries across engagement channels.

Aside from enticing followers with exclusive deals, Plixlife swapped generic messages for personalized chats.

It also introduced an AI-driven quiz, making product discovery feel like personal shopping.

🎯 The outcome?

  • It’s IG community skyrocketed in just 3 months

  • 85% of its DMs were automated, slashing the workload by 60%

  • Response times? From a day to mere seconds.

  • Engagement metrics were off the charts: an 80% open rate, a 25% opt-in rate, and the cherry on top: over 1,000 new checkouts in that period.

Of course, this is not just one single case. We wanted to share more of this so you can see what’s possible.

💰 From manual-week-long processes to automated and efficient workflows

For the fashion brand Diesel, manual tagging and inconsistent catalogs were a headache that just wouldn’t quit.

To cure this relentless migraine, Diesel turned to Vue.ai’s automated product tagging solution, VueTag.

Catalog teams often spend a lot of time tweaking product data… Vue.ai’s tagging solution is able to build customer-specific taxonomies and allow for training of networks to identify highly specific custom tags.

ℹ️ Solutions You Can Implement

Automated Product Tagging Solution

VueTag uses image recognition and text to extract product attributes like category, gender, color, pattern, dress length, sleeve length, and neckline.

Customized Tags

The visual AI-based tagging solution is then able to build customer-specific taxonomies and allow for training of networks to identify highly specific custom tags

💰 Impact On Your Business

✅ Expect cleaner tags, better data, and a faster, fuss-free process.

  • Improved productivity of catalog teams.

  • Enhanced search experiences and product discovery.

  • High-quality, rich metadata for product catalogs.

  • Deep, meaningful insights into assortment.

Now that you've got a sense of how AI can transform the e-commerce game, I’m gonna give you a step-by-step guide on how to integrate IRC clients like LimeChat into your operations.

⚒️ Best use cases & Actionable Steps

📲 Customer service: Use IRC clients to answer questions, resolve issues, and provide support.
  1. Integrate your IRC client with your e-commerce platform and preload it with FAQs for instant responses.

  2. Monitor and refine responses based on customer interactions and feedback.

  3. Review monthly reports to identify areas of improvement in customer service and implement necessary changes.

💲 Sales: leverage IRCs to generate leads, qualify them, and seal the deal.
  1. Sync your chosen IRC with your product catalog and set up auto-messages highlighting product perks.

  2. Qualify leads using IRC, gauging their interest through interactions.

  3. Direct hot leads to a human sales rep or to the checkout page, depending on their readiness to purchase.

  4. Periodically analyze and tweak your IRC-based sales approach.

🛍️ Marketing: Promote your business and products by joining marketing channels, participating in discussions, and sharing content on IRC servers.
  1. Join IRC channels where your audience is active.

  2. Automate promotional content sharing, from product launches to special offers.

  3. Engage, answer queries, and be part of relevant discussions.

  4. Stay alert to channel trends and adjust your strategy accordingly.

⚒️ Founders’ AI toolkit  

If you’re thinking about the perfect booster for your B2C strategy, here are our top picks 🏆

As you saw in the section above, Vue.ai is a visual AI platform that uses image recognition and data science to help retailers generate products and gain deep market insights, just like Diesel, Mercado Libre, Levi’s and much more.

Also…

  • You may want to check out Twilio MessagingX, a cloud communications platform that allows users to send and receive messages across various channels.

  • SmatBot is a chatbot platform designed for sales and customer support - is worth looking into as well.

Our Top Pick of The Week

Faster product launches, streamlined operations, and a significant cut in costs are now possible with Merkle x Salesforce

Merkle, has partnered with Salesforce to roll out a large knowledge model (LKM) solution powered by generative AI. The new tool, GenCX, is integrated with Saleforce’s generative AI CRM technology, Einstein GPT.

As AI continues to explode, brands have a massive opportunity to use the technology to inform and create relevant, personal experiences at scale, leveraging first-party data.

Shirli Zelcer, Global Head of Analytics and Data Platforms at Merkle.

You see, this is not just another AI Chatbot. Prepare to ask questions like:

“Where should I allocate my $1M budget?”
“Can you build an audience of my best customers?”

 💡 Best Use Cases

  • Tailored Marketing: Let AI sift through customer data, crafting marketing messages that resonate and convert.

  • Swift Customer Support: Deploy AI chatbots. They'll handle routine queries, letting your human team dive into the more nuanced challenges.

  • Smart Inventory Decisions: AI can forecast stock needs, marrying historical data with current market pulses.

  • Dynamic Pricing: Keep tabs on competitors' pricing moves and market appetites.

⚒️ Actionable Steps: 

  1. Audit your current customer-centric strategies. Where does AI fit in?

  2. Invest in training your team on the latest AI tools.

  3. Start with pilot projects to integrate AI into your operations and measure its impact.

  4. Keep a close eye on the outcome. Adapt and refine based on AI-driven insights.

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🌄 CaveTime is Over! 🌄

Thanks for reading, and until next time. Stay primal!

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