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Start your Decision Intelligence journey with Product AIdvisor, an AI-powered guided selling solution that boosts conversions and grows sales.
In our webinar “Guide Your Customers through Sales with Product AIdvisor Powered by Gen AI," led by Circuitry.ai’s Ashok Kartham, Founder and CEO, we discussed how companies can leverage our AI-powered Advisor solution to increase customer conversions and grow sales.
Keep reading for key takeaways or click here to watch the recording on-demand.
AI, especially generative AI (GenAI), has been transforming every aspect of business. We all know that people's decisions have a profound impact on the value of business outcomes. One of the most important decisions that drive revenue is customers choosing to buy one of your products. Decision Intelligence helps you optimize outcomes by helping you analyze, automate, and augment these impactful decisions.
We are excited to launch Product AIdvisor, an intelligent guided selling solution powered by Decision Intelligence, to help your customers and teams during the marketing, sales, support, and service stages.
Our unique approach to connecting decisions to actions and outcomes will help you deliver an amazing customer experience, convert more prospects into customers, and grow sales.
In today's interconnected world, getting information has never been easier with the web, cloud, and a number of chatbots in the market. We bridge this gap by leveraging Product AIdvisor to help your teams and customers turn that information into actions that lead to better outcomes.
We’re leveraging GenAI to provide natural language access to knowledge. We also use advanced AI algorithms such as recommendation engines, predictive, and prescriptive analytics to deliver better outcomes and intelligent automation.
Lost sales are a huge problem for online retailers of all shapes and sizes. It’s eye-opening to realize that the average cart abandonment rate across all industries is 70%. And it only worsens when customers go to smaller screens—if it isn’t easy, customers will leave. The solution? Product AIdvisor.
With our AI as a Service (AIaaS) model, we aim to provide you with the immediate value of a complete, ready-to-use intelligent business application.
What data can I use to train the Advisor?
We can train your Advisors on any data you give us, but for best results, we recommend using PDFs, web pages, or databases filled with information about the products you want to sell. You can also use internal guides like training guides or sales call transcripts. The more information you upload, the more robust the Advisor will be.
How long does it take to implement, and what is onboarding like?
Implementing Product AIdvisor takes just a few hours (depending on how much information is uploaded). The onboarding process is simple and intuitive.
What file types can be uploaded?
You can upload multiple file types including CSV, Excel, PDF, and URLs.
Product AIdvisor is one solution; are there any others?
We aim to provide different solutions on our Decision Intelligence platform. Product AIdvisor is the first use case where we focus on augmenting the sales process. Our Service AIdvisor will assist with diagnostics and service recommendations. Similarly, our Parts AIdvisor can help with parts recommendations. Additionally, we plan to offer AIgents to help automate decisions and execute actions such as orders or service scheduling, as well as AInalysts that use advanced AI analytics for quality analysis, predictive maintenance, and more. We aim to train our AI on everything product-related, from product catalogs to all types of other information, so that we can enable your marketing, sales, and service teams throughout the customer lifecycle.
What is your pricing model?
Circuitry.ai offers a simple, cost-effective subscription model based on the number of answers an Advisor provides. Our account executives will be happy to provide you with a quote.
Can Product AIdvisor be customized to match my company’s branding?
Yes, you can customize your Advisor with custom greeting messages and conversation starters. You can also adjust the chat interface to align with your brand colors and upload your company logo to ensure your Advisor has your company’s look and feel.
Can I use Product AIdvisor for advice on services and parts?
Absolutely. We are seeing customers ask for Advisors for customer service, warranty advice, service technicians, and much more. Any use case that relies on simplifying a large repository of information and relaying it back to human users is a perfect application for our Advisors.
Can I use Product AIdvisor internally?
Yes, your internal teams could use the same Advisor your customers use, or you can create separate Advisors with expanded knowledge only accessible to internal teams. By enabling your internal teams, you can improve the quality, velocity, and consistency of answers and recommendations.
How hard is it for me to get started using it?
The setup for Creating and editing Advisors takes about two minutes. Processing and training the AI system only takes an hour or so. We will handle the heavy lifting and collaborate with you to curate the knowledge base needed to train the AI.
What industries will see the most benefit from Product AIdvisor?
Product AIdvisor is best suited for manufacturers, distributors, and retailers of high-value products such as consumer appliances, electronics, office equipment, heavy equipment, automotive, and medical devices. Customers typically need help with these products as they are generally complex and have different configurations.
Watch the full webinar here to learn more about the future of intelligent guided selling and how to transform your product catalogs into an AI-powered sales advisor for your customers and sales teams.
Sign up by June 30th and get exclusive access to Product AIdvisor. Ask to be an early adopter to enjoy these benefits:
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The panel discussed AI in service and warranty, featuring insights and answers from Circuitry.ai, Xalt, and Mentor.
Be the first to know about new decision intelligence insights to understand and engineer how AI-powered decisions are made and how outcomes are evaluated, managed, and improved.