Five ways to have artificial intelligent tools do the heavy lifting this year

Five ways to have artificial intelligent tools do the heavy lifting this year

By: Katrina Gosek, senior director, digital customer product strategy, Oracle

Success in the next era of retail won’t come from adding the latest widget to your site, and it’s certainly not in low prices and free shipping. Success will come down to the ability to move and innovate faster. While moving to a fully SaaS-based commerce platform and ecosystem will guarantee greater agility, the reality is that may be a multi-year process for some retailers.

So what can online retailers do to make a difference right now? It is time to let artificial intelligent (AI) tools do some heavy lifting this year.

There are ton of options for when, where, and how to leverage AI, but for retailers looking for quick impact, here are five ways AI tools can help online retailers drive results across the shopping experience without the heavy lift:

1. Innovate with Voice Command and Visual Search: By 2021, Gartner predicts that early adopter brands that redesign their websites to support visual and voice search will increase digital commerce revenue by 30%. With mobile devices, short attention spans and endless online options, getting on-site search right is more critical than ever. The good news is that new AI technologies, such as Visual Search and Voice Command, make search more engaging and effective at converting sales.

• Visual search is about to take off in a big way thanks to strides in image recognition technologies and the growing number of mobile shoppers who prefer visuals. Retailers can essentially deliver faceted search results in a new, visual way by labeling product features, attributes, and names in images and videos. Pinterest now enables users to select an item in an image to surface similar items on Pinterest. Retailers Target and West Elm are experimenting here as well.

• Voice command has become ubiquitous at home and on the go with Siri, Alexa, and Google. With advancements made in natural language processing (NLP), semantics and intent recognition, there’s a lot of exciting ways to experiment with voice-based assistance and order placement on retail mobile sites and apps. Start simple. Look at the most common shopper inquiries like order status, return policy, local store inventory and the ability to re-order items and check out via voice. Graduate to deliver on more complex use cases like searching and comparing products, asking for personalized recommendations based on preferences and history, and placing products on hold at local stores.

2. Leverage Big Data: Retailers spend a lot of money to acquire customers via SEM, SEO, content marketing and social with murky ROI results. AI tools that crunch customer data present new options though. Instead of waiting for shoppers to discover you, retail marketers can now discover consumers. Third-party data audiences leverage billions of global IDs, trillions of dollars in transactional data and tens of thousands of pre-built audiences that span demographic, online and offline behaviors. Insight from these mega data sets means you can reach exactly who you want to.

One business that is reaping the benefits of big data and AI is Carousell, one of the world’s largest mobile classifieds marketplaces. By integrating Oracle’s Responsys with its AI tools, Carousell was able to roll out dynamic landing pages with personalized content based on users’ past behavior or project behavior. Additionally, Carousell was also able to leverage Responsys’ Link Tracking feature, which tracks where clicks on links come from, to achieve in-depth insights into the effectiveness of its social media marketing efforts. These valuable insights enable Carousell to create more relevant and personalized editorials for their users.

3. Integrate AI in your mobile strategy: It’s getting harder than ever to engage consumers, deliver on what they want in the moment and turn them into a loyalist. Context is critical and AI tools provide that in a way humans can’t. As 63 percent of smartphone owners used their mobile devices to make holiday decisions this past season, mobile shopping is becoming a way of life. Mobile is a goldmine of contextual user information and the perfect place for retailers to seize micro-moments along the shopper’s journey. Recent data from Oracle Responsys from this past holiday season told us mobile SMS traffic went up 70% and mobile push rates increased 110% year-over-year. Shoppers want to hear from retailers and brands if it’s relevant and provides value. In mobile communications, use AI for personalized recommendations on products, local store events, offers and order updates to scale a personal relationship with your most valuable customers.

4. Have chatbots initiate proactive chats: Chatbots are expected to be the top application of AI over the next five years, according to TechEmergence. AI-powered chatbots are not just a great way to scale service post-sale, but also during browsing and buying. Proactive service drives sales and chatbots are a great technology to initiate proactive conversations with customers that can alleviate concerns and offer solutions to common queries.

5. Virtual Assistants can be your personal concierge: Leverage AI tools to make your most lucrative customer segments feel known and valued. Virtual Assistants (that use AI, speech recognition and loads of data) can serve as a personal concierge, helping loyal customers with purchase recommendations, education and customer service. Loyalty programs can also use AI to supercharge personalization. They can recommend products based on local weather conditions, hyper-personalized subscription services and tailored promotions based on what resonates with each customer specifically.

More information on Oracle’s privacy policies with reference to our cloud solutions can be accessed at this link:

Leave a Reply

Your email address will not be published. Required fields are marked *