Customer support · Production
AI Receptionist for Hospitality Brands: How Beside Helps Cocktail Garnish Filter Spam and Stay Focused on Growth
The problem
Spam calls and irrelevant interruptions constantly pulled the founder's attention away from physical operations, while real customer calls about order problems required immediate access to order details that were not readily available.
Workflow diagram · grounded in source
1
Inbound call arrives
trigger
“Phone calls are typically exceptions, usually when something has gone wrong with an order.”
2
Spam filtered automatically
routing
“Beside now filters those calls automatically, eliminating the need to screen unknown numbers”
3
Order context captured
ai_action
“captures context as soon as a real call comes in, so follow-ups start informed instead of reactive”
4
Daily summary review
human_review
“the founder reviews the daily summary to catch anything urgent or unusual, reducing mental load without losing visibility”
5
Informed resolution
output
“because the details were captured immediately, the team quickly confirmed the package had been delivered—but to the wrong location—and moved straight into resolution”
Reported outcome
Beside gave the founder time and focus back by filtering spam and capturing order context upfront, reducing phone interruptions and enabling faster issue resolution.
Reported metrics
Phone interruptionsfewer interruptions throughout the day
Phone checking frequencysignificantly reduced the number of times he had to check or touch his phone
Reported stack
Beside
Source
https://www.beside.com/customers/cocktail-garnish-how-a-post-pandemic-bar-idea-became-a-national-b2b-brand--and-why-beside-helps-them-stay-focused-while-filtering-spam
Read source ↗Frequently asked questions
What did this team achieve with this AI workflow?
Beside gave the founder time and focus back by filtering spam and capturing order context upfront, reducing phone interruptions and enabling faster issue resolution.
What tools did this team use?
Beside.
What results were reported?
Phone interruptions: fewer interruptions throughout the day; Phone checking frequency: significantly reduced the number of times he had to check or touch his phone (source-reported, not independently verified).
How is this customer support AI workflow structured?
Inbound call arrives → Spam filtered automatically → Order context captured → Daily summary review → Informed resolution.