AI Espresso: Your Weekly Shot of High-Tech Buzz!

Hello, Chatbots! Remember when Siri was introduced back in 2011? An AI voice assistant that could understand and process human speech, Siri marked a significant advance in conversational artificial intelligence. But fast forward to 2024, and what once seemed revolutionary now feels rudimentary.Siri wasn’t strictly a chatbot, and her limitations were significant. But she was […]

Is Your Website a Hard Worker or Just a Show Pony?

TL;DR

• Generic website chatbots fail on complex product catalogues not because they are badly configured but because they were never designed for this kind of search.
• The core problem is sequence: most chatbots search first and try to filter later. For compatibility-based catalogues the approach has to be the opposite.
• A pre-filtering step – before the AI even begins searching – is what separates a chatbot that gets it right from one that returns the wrong part with confidence.
• The fix is not a custom-built solution costing six figures. It is a chatbot built with the right workflow, the right model and the right data – and maintained as your catalogue changes.
• If your customers regularly ask “will this work with my vehicle / machine / system” and your chatbot gets it wrong, that is a solvable problem.