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Watermelon Pulse

It fits naturally into daily work. Whether you are handling a single quick task or a batch that would eat an afternoon, the tool keeps the pace steady. Away from...

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Overview

Watermelon Pulse screenshot

Watermelon is a customer service platform built around AI agents. Its AI agents use your business knowledge and take action in your systems, while your team stays in control. The aim is less repetitive work and more time for customers. Watermelon says it is trusted by more than 1,000 teams, shows a 4.5 out of 5 rating on its site, and describes itself as a Dutch AI agent provider.

Everyday tasks handled by AI

The site gives examples of tasks the AI agent can take on. It answers FAQs such as how to reset a password, guiding customers to the right answer using your own help articles and company knowledge. For ecommerce, Actions connect your systems to retrieve order information when a customer asks where their order is, rather than sending them elsewhere. It can book appointments by connecting your booking workflow through Actions, and it supports lead generation.

One connected platform

You build an AI agent with the AI Agent Builder, training it on your business knowledge so it can answer questions and act. One AI agent covers every channel with the same knowledge: website chat, email, phone, WhatsApp, Instagram and Messenger. AI-powered calling is a recent focus, with live webinars to show it in action.

Shared inbox and analytics

The AI handles routine questions, and your team takes over when needed, all in one shared inbox with customer profiles for context. Analytics track automation, handovers and recurring questions, so you can improve service over time. A sample dashboard shows 2,128 conversations in 30 days, of which 1,594 were automated, alongside customer satisfaction.

Pricing

Watermelon invites businesses to book a demo. Check the website for current plans and prices.

Who it suits

Watermelon suits small and mid-sized businesses, ecommerce stores and service companies, particularly in Europe, that want one AI agent across many messaging channels.

Things to consider

Keep help articles and system connections accurate, since the AI answers and acts based on them. Test Actions carefully before letting the agent change orders or bookings. Set clear handover rules, and review analytics regularly to find gaps in your knowledge base.

A demo is a useful way to see the inbox in use.

Details

Pricing
Paid
Release date
2025-08-13
Last checked
4d ago
Indexing
index, follow
Category
Support
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