Threekit AI: Transforming the Digital Buying Journey
AI will usher in the biggest shift in online buying since the advent of the eCommerce. Threekit AI has you covered.
Threekit AI for B2B
Your buyers are getting younger and expect more “eCommerce-like” buying experiences
Millennials are now involved in 73% of product or service purchase decisions at their companies (pymnts.com)
B2B buyers want to do at least 75% of their research online (Forrester)
Right now, your site is too confusing and overwhelming. Buyers need more guidance.
As many of 40% will abandon the experience before they get to a salesperson
The B2B Buyer mindset wants both guidance and independence
“I want to help myself”
Buyers want to get 70% of the way to purchase before talking to a salesperson (LeadG2.com)
“Understand my needs”
89% of buyers are more likely to make a purchase when they feel understood (Salesforce)
THE SOLUTION
AI Guided Selling
A product selection agent that visually guides buyers to the right solution
Threekit AI for eCommerce
Your shoppers are Millennial and Gen Z Browsers
Younger, savvier and more digitally advanced
of eCommerce visitors are Searchers–they know what they want. 83% visitors are Browsers–they want to explore and see if you’re right for them (Retail Touchpoints)
Gen Z will outnumber and outspend Gen X in digital channels sometime in 2025 (eMarketer)
Right now, your site is not built for the Gen Z Browser
of shoppers cite navigation and search as the most important part of a site (Statista)
The eCommerce Buyer Mindset isn’t well-served with analog tools like filters and traditional search
“I want to search the way I think”
Average Search Query length has shifted from 2.9 words to 6.8 since advent of ChatGPT (Algolia)
“I want a more intuitive experience”
74% of adults 18-34 look forward to the improvements that AI can make to their online shopping experience (Harris)
THE SOLUTION
AI Discovery
Help buyers navigate your catalog and show personalized product recommendations
Threekit AI Solves Real World Challenges
Buyers want to do 75% of product research on their own, without the help of a sales person. But If a product is highly complex and has a lot of technical specifications that the average person doesn’t understand, it can be too intimidating to research that product online.
Enables buyers to interact with an AI-powered agent that engages with buyer needs and presents the right product before connecting with a sales person.
The human brain processes text (especially a lot of text) relatively slowly. So when it arrives at an eCommerce site, it takes time to orient and attach to something it wants to explore. 46% of the time this results in overwhelm and site abandonment.
By providing simple visual prompts for categories, occasions, climate or use, you can quickly connect with the shopper and show them something they can click into and explore. This reduces the work the brain must do to decide if this brand is right for me.
Shoppers are often inspired out “in the wild,” while walking around their neighborhood, at a public venue or while browsing online. They may want to shop your site for something just like what they’ve seen.
Enable shoppers to upload images of products they want, then let AI find and present like offerings within your product catalog.
Traditional eCommerce search limits your results with a lack of contextual understanding, limited personalization and poor handling of synonyms and variants. It relies heavily on synonym matching or very near matching and that can weed out accurate results.
Conversational Text Input enables shoppers to search like they think. They can use longer queries and describe occasions or people they’re shopping for and expect AI to pick up on the context and meaning and serve up accurate results.
When it is not clear “why” a search tool serves up particular results, it can reduce shopper confidence.
An AI-powered client advisor can have a conversational exchange with the shopper, serving up results and also explaining why those products were chosen. It can also answer follow up questions and make recommendations for complementary products.
Buyers want to do 75% of product research on their own, without the help of a sales person. But If a product is highly complex and has a lot of technical specifications that the average person doesn’t understand, it can be too intimidating to research that product online.
Enables buyers to interact with an AI-powered agent that engages with buyer needs and presents the right product before connecting with a sales person.
The human brain processes text (especially a lot of text) relatively slowly. So when it arrives at an eCommerce site, it takes time to orient and attach to something it wants to explore. 46% of the time this results in overwhelm and site abandonment.
By providing simple visual prompts for categories, occasions, climate or use, you can quickly connect with the shopper and show them something they can click into and explore. This reduces the work the brain must do to decide if this brand is right for me.
Shoppers are often inspired out “in the wild,” while walking around their neighborhood, at a public venue or while browsing online. They may want to shop your site for something just like what they’ve seen.
Enable shoppers to upload images of products they want, then let AI find and present like offerings within your product catalog.
Traditional eCommerce search limits your results with a lack of contextual understanding, limited personalization and poor handling of synonyms and variants. It relies heavily on synonym matching or very near matching and that can weed out accurate results.
Conversational Text Input enables shoppers to search like they think. They can use longer queries and describe occasions or people they’re shopping for and expect AI to pick up on the context and meaning and serve up accurate results.
When it is not clear “why” a search tool serves up particular results, it can reduce shopper confidence.
An AI-powered client advisor can have a conversational exchange with the shopper, serving up results and also explaining why those products were chosen. It can also answer follow up questions and make recommendations for complementary products.
Threekit AI Capabilities
“Something Similar”
Show me more options that look like this or are complementary
Shop the Look
Let me see outfits together and select items I like
Semantic Search
Interpret personal text or prompts, make associations and serve up results based on your user's intent
Guided Buying
Walk customers through a technical purchase with visual prompts to get input and help them build confidence
Bundled Buying
Suggest products that go with an item so the shopper can purchase them all at once
"Match This" Upload
Enable photo upload to show customers items that complement ones they already own
“Close Enough” Text
Interpret misspellings to determine intent and get user's to the right results
Social Extension
Guide users into a fun, social-like buying experience directly from their feeds
Product Information Enrichment
Use AI to identify all the relevant features and descriptors and apply them to the right products
New to Threekit AI?
Get up to speed fast with our ultimate glossaryThreekit AI by the Numbers
Conversion Lift
When shoppers are presented with personalized product recommendations, they are more likely to buy and repeat purchase
Increase in Average Order Value
Because Visual Discovery bundles complementary products, buyers are more likely to build their cart and make incremental purchases
Bounce Rate Reduction
When you give shoppers engaging product experiences and quickly serve personalized recommendations, they stay on your page