Meet the AutoIntel
Product Suite

AutoIntel takes the guesswork out of your customers’ needs. We streamline personalized, interactive product discovery and convert prospects into buyers.

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Digital Retail Experience

Our product combines user insights, inventory data, and product features to deliver a uniquely personalized customer experience at scale. Three digital retail products can be implemented together or Individually: Recommender System, Intelligent Chat: Whiz, and Product Configurator.

Our Solutions

No More Guesswork About Your Customers’ Needs

The Recommender System from AutoIntel
The intelligent Whiz Chat from AutoIntel reduces the complexity of the digital retail consideration journey to foster a meaningful exchange and drive sales conversion.
The powerful Product Configurator from AutoIntel

Our Product Impact

33%

increase in lead submission rate following the deployment of the recommender system

$2,100

average increase in final configuration price after AutoIntel Suite of products deployed

2 million

real-time recommendations served each month

Insights Dashboard: Product Demand, Supply Chain and Customer Preferences

AutoIntel impacts the entire value chain – from understanding what product configurations are needed in stock to reducing inventory costs and providing insights for future product development. Our visual analytics dashboard exposes granular market trends and highlights inventory gaps.

Under the Hood

Advanced analytics, machine learning, and proprietary algorithms built with significant domain expertise to enable tailored solutions that overcome industry-specific challenges.

Automotive Metaspace
Automotive Metaspace

The AutoIntel Metaspace facilitates seamless mapping of product data across models and OEMs and acts as layer between data ingestion and our ML models.

Intent Modelling

Our intent model leverages user interaction & metadata to classify latent intent and adjust personalization logic accordingly.

AutoIntel Deep Hybrid Recommender
Deep Hybrid Recommender

Our hybrid recommender system leverages interaction metadata with deep learning layers in order to overcome cold-start problems & maximize predictive power. We also provide more interpretable linear models where they fit business requirements.

AutoIntel Vehicle Similarity Metrics
Vehicle Similarity Metrics

The Vehicle Distance Kernel uses our proprietary metaspace, both in the product and user preference domain, to determine vehicle-to-vehicle similarity (i.e., identifying best inventory matches).

AutoIntel Whiz Chat
Whiz Chat

The Whiz platform enables customers to communicate with automotive experts via chat as they are configuring their build. The platform incorporates machine learning to facilitate easy communication between the user and the expert.

Autointel Dashboard
Dashboard

Our dashboard visualizes prospective customers' feature preferences giving critical insights to OEMs and dealers about trends in their relevant market. This tool informs inventory planning, which connects highly sought-after vehicles with future customers, beating the competition.

Automotive Metaspace

The AutoIntel Metaspace formats disparate data in one common structure, working as a layer between data intake and machine learning. It is key in facilitating feature mapping across AI solutions.

Intent Modelling

AutoIntel Intent Model leverages data, interaction sequences and previous user intel, to predict and adjust algorithms that inform predictive modeling and customer analytics.

Deep Hybrid Recommender

The AutoIntel recommender system identifies user preferences and recommends inventory based on aggregate consumer and product data points coupled with millions of user data points conveying preferences. The preconfigured build recommender generates fully assembled vehicles that are tailored to a prospective customer.

Vehicle Similarity Metrics

AutoIntel’s Vehicle Distance Kernet ranks preferred configurations against available geo-specific inventory. The result is served up to a potential customer and also offers insights to dealerships on their inventory relative to customers in their area.

Whiz Chat

Whiz is AutoIntels intelligent customer engagement experience. The Whiz platform enables customers to communicate with automotive experts as they are configuring their build. The platform incorporates machine learning to facilitate easy communication between the user and the expert.

Dashboard

AutoIntel’s dashboard visualizes prospective customers' feature preferences giving critical insights to OEMs and specific dealerships on customer needs and preferences. This critical tool informs future supply chain vehicles and features, and inventory decisions related to set geographies to reduce waste and place desired vehicles in future customers' hands.

What Our Customers Say

Mike
eCommerce

"I was looking for a marketing tool to drive sales conversions and support our e-commerce experience (specifically increasing lead submissions). The AI toolset does just that! It gives our customers relevant content increasing the likelihood of lead submissions."

Amanda
Marketing Strategy

"Leveraging user data, the AutoIntel recommender displays pre-configured vehicles tailored to each customer’s preferences.  These individualized builds have been very helpful in understanding our customer’s preferences to improve our marketing strategy."

Rob
Product Innovation

"AI data is very valuable for us. We can use data points from the customer configuration process to inform future supply chain decisions as we innovate new features and functionalities."

FAQ

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Let's Get You Started

03

1. AutoIntel API integration

02

2. Customer preference measurement

01

3. Insights and real-time recommendations

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