Vakaufa ‑ AI Salesperson

Develop by Shopify

Free plan available

Cut support inquiries with 24/7 in-store customer guidance

Instant answers

In-store guidance

Product learning

24/7 operation

Redirect to agent

About Vakaufa ‑ AI Salesperson

Launched Oct 07, 2024

Built by Shopify

Address

Ahmedabad, GJ, IN

Website Support Portal Privacy policy Tutorial FAQ Document

Related Categories

Claim Offer

ZB: Exit Intent Pop up Window

(20 Reviews)

Claim Offer

Sponsored

Simple and reliable popups to promote sales and capture...

Description

Fire your Support Agents. This AI Salesbot knows all about your products.

This bot knows EVERYTHING about your catalog. Armed with this knowlege and the flagship language model ChatGPT-4o, it's a SALES-WEAPON that markedly boosts your sales. It takes 2 minutes to install. Try it today!

Knows EVERYTHING about your catalog and uses that to sell.
Speaks politely and respectful while super-competent on your products.
Can serve thousands of customers at the same time, 24/7
Currently FREE OF CHARGE while its brand new and we are looking for users.

Pros

Provides 24/7 support which helps to cut down on support inquiries
Empowers customers with instant in-store guidance on product pages, enhancing customer satisfaction
Reduces repetitive support queries, freeing up the support team's time
Perfect for stores of any size, aiming to boost efficiency and sales
Automatically learns about the store's products for accurate and helpful guidance
Instantly answers common customer inquiries about shipping costs and payment terms
Has the ability to redirect customers to a real agent or contact form if necessary
Offers polite, human-like responses while clearly identifying itself as a bot

Cons

Dependent on accurate initial training to provide correct guidance and responses
Can potentially miss nuanced customer questions where human empathy is required
Might not fully integrate with all e-commerce platforms, depending on the store's specific needs
Over-reliance on automated responses could hinder personalized customer interaction