Machine learning is used in marketing for analytics, churn prediction, and dynamic pricing. It can be done with tools like Botpress, Mailchimp, and Hubspot.

Intelligent Process Automation (IPA) let businesses automate the processing of unstructured inputs in processes like document parsing and ticket routing.

SMS chatbots are chatbots connected to SMS through service providers. They boast a higher open rate than email.

Chatbots are most successful when they define clear KPIs, keep conversations clear, and benefit technical and non-technical teams.

RPA uses rule-based automation to handle processes, whereas AI interprets messy, unstructured inputs to improve upon RPA.

A WhatsApp chatbot can be production-ready in 5 minutes wit ha Meta Business Account and access to a bot building framework.

SaaS companies are adapting their products to integrate with AI tools that automate their processes and orchestrate logic, improving user experiences.

Setting clear goals, building a cross-disciplinary team, and defining KPIs are important in ensuring successful chatbot deployment.

ERP workflows can be wrapped into chatbot interfaces to automate approvals, requests, and reporting in a seamless conversational flow.

A vector database stores semantic representation of texts, documents and media, letting LLMs perform semantic search.

Vertical AI Agents combine LLMs' conversational abilities with tool-calling and API access, resulting in smooth-but-powerful workflows.

Separate AI Agents are organized with one main, routing agent, to let users access many different complex, specialized workflows through a single bot.