We came across the Epytom chatbot, it’s implemented on both Facebook Messenger and Telegram. . The team at 1080bots is studying ecommerce chatbots to improve our delivery of productive ecommerce conversational experiences. The Epytom chatbot is not a store, it does not sell, but it helps you buy if you follow the recommended flow.
The Epytom site is all about creating a limited wardrobe that begins with the items you already own. The bot begins with that introduction and without prompting gives you an inspiring outfit for the day. Great initial interaction and good use of images, buttons and emoticons.
The Epytom chatbot then provides a set of easy options to bring up more style tips, to build a weekly tipsheet or to personalize the service. Nice and simple, well guided and not at all intrusive.
The bot asks for a location and really quickly brings up a personal checklist of style essentials, a well laid out chart that can be downloaded and printed. So far the engagement was great, very low effort on the user’s part and high value in terms of result.
The chatbot is now making good recommendations but on the website, the value proposition seems to continue to help me get “true savings”
I looked for somewhere on the website where I might find out how to buy the recommended items but no luck. I then looked on Facebook, still nothing there either.
Finally I went back to the Epytom Chatbot in Facebook Messenger. Early on in the dialog, alongside the picture of Steve McQueen in the movie the Great Escape, I saw a ‘Get It’ badge. I went to the menu, but nothing there. I tried typing in that I was ‘Looking for a Jacket’ – no luck and it didn’t manage to handle the unstructured text either. Final try was to see if they could help with ‘Chelsea boots’ but nothing there either.
We enjoyed the simplicity and concept behind the Epytom Chatbot, However whereas I normally complain about the bot getting you to a product page too fast, this bot left me a little frustrated not allowing me to make a purchase or even recommending me retailers. Now, this might be part of the future strategy for Epytom, so I am not going to judge this yet. If you’re thinking of creating an ecommerce bot that deeply integrates into the backend retail systems and can handle the natural language requirements then drop us a line at firstname.lastname@example.org[/vc_column_text][/vc_column][/vc_row]