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What is Outfindo?

Assist your customers in making informed product selections with an array of straightforward questions tailored to turn casual visitors into dedicated purchasers, leveraging well-researched guides supported by advanced analytics. By utilizing a set of customer-centric questions that replicate the in-store experience, you can offer a more immersive interaction compared to conventional filters or chatbots. Each component is consistently structured and translated, ensuring that key features are accompanied by comprehensive details to facilitate your customers' decisions. You will benefit from clear, smoothly integrated data directly from manufacturers, allowing you to focus more on business growth rather than data management. Furthermore, explore your customers' online behaviors more thoroughly with Beacon, which assesses insights to uncover trends in consumer decision-making across different product categories, ultimately streamlining the guidance process and enriching the customer journey from the moment they inquire to the point of purchase. This approach not only enhances customer satisfaction but also fosters loyalty, paving the way for repeat business over time, which is vital in today’s competitive marketplace. Therefore, adopting this strategy will not only attract new customers but will also solidify relationships with existing ones.

What is Amazon Rufus?

Rufus serves as an AI-powered shopping assistant embedded within the Amazon Shopping app and the Amazon.com website, designed to aid customers in making informed purchasing decisions by addressing a variety of shopping-related questions. Users can connect with Rufus effortlessly through a specific icon or button, which allows them to inquire about product details, obtain side-by-side comparisons, and receive personalized recommendations that enrich their shopping experience. Drawing on a wealth of data from Amazon's extensive product catalog, customer reviews, community Q&A, and various online resources, Rufus delivers comprehensive and prompt responses to queries. Additionally, the assistant boasts features like price history tracking, permitting users to review price changes of products over time, thus enabling them to uncover genuine deals during sales events. By aiming to foster an engaging shopping environment, Rufus not only conserves users' time but also empowers them to make better-informed purchasing decisions. Furthermore, this innovative tool serves as a testament to Amazon's dedication to harnessing technology to enhance customer satisfaction and simplify the online shopping experience while continually evolving to meet user needs. Overall, Rufus stands out as a prime example of how technology can transform traditional shopping into a more efficient and enjoyable process.

Media

Media

Integrations Supported

Amazon
Amazon Business
Azoma
Profound

Integrations Supported

Amazon
Amazon Business
Azoma
Profound

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Outfindo

Company Location

Czech Republic

Company Website

www.outfindo.com

Company Facts

Organization Name

Amazon Rufus

Date Founded

1994

Company Location

United States

Company Website

www.amazon.com/Rufus/

Categories and Features

eCommerce Personalization

A/B Testing
Abandoned Cart Email
Dynamic Pricing
Offers & Discounts Notifications
Personalized Site Navigation
Product Recommendations
Reporting / Analytics
Social Insights

Categories and Features

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