Whatsplaid vs Trengo: compare omnichannel inbox and AI for WhatsApp.

Automation helped our team respond faster and keep the service organized. The knowledge base made the answers much more consistent.

We installed it to serve store customers and reduce repetitive questions. The flow became simple, quick, and brought more qualified conversations to the sales team.

The integration with the store greatly facilitated post-sale support. We can guide on orders, products, and common questions without relying on manual service all the time.

I liked the flexibility to train the AI with real company information. After the initial adjustments, the service became much smoother.

The tool fit well into the store's routine. WhatsApp became a more organized channel to respond, sell, and follow interested customers.

Before, many messages were unstructured. With the trained AI, responses became more complete, and the team can take over only when necessary.

Whatsplaid helped turn repeated questions into well-handled conversations. It was easy to improve the response base as questions appeared.

The installation was smooth, and the automated service has already significantly reduced the volume of simple questions. We are still refining some flows.

The experience was very positive. The team gained time, and customers receive better responses even outside business hours.

The strong point is being able to respond with the company's context. This avoids generic messages and makes WhatsApp service more professional.

We started using it for support and then extended it to sales. Product recommendations and conversation logging helped a lot.

The solution brought more predictability to the service. The bot solves most questions and leaves the history ready for the team to continue.

Automation helped our team respond faster and keep the service organized. The knowledge base made the answers much more consistent.

We installed it to serve store customers and reduce repetitive questions. The flow became simple, quick, and brought more qualified conversations to the sales team.

The integration with the store greatly facilitated post-sale support. We can guide on orders, products, and common questions without relying on manual service all the time.

I liked the flexibility to train the AI with real company information. After the initial adjustments, the service became much smoother.

The tool fit well into the store's routine. WhatsApp became a more organized channel to respond, sell, and follow interested customers.

Before, many messages were unstructured. With the trained AI, responses became more complete, and the team can take over only when necessary.

Whatsplaid helped turn repeated questions into well-handled conversations. It was easy to improve the response base as questions appeared.

The installation was smooth, and the automated service has already significantly reduced the volume of simple questions. We are still refining some flows.

The experience was very positive. The team gained time, and customers receive better responses even outside business hours.

The strong point is being able to respond with the company's context. This avoids generic messages and makes WhatsApp service more professional.

We started using it for support and then extended it to sales. Product recommendations and conversation logging helped a lot.

The solution brought more predictability to the service. The bot solves most questions and leaves the history ready for the team to continue.