Optimizing Staffing & Product Availability with FavTrip

Client

FavTrip

Industry

Convenience, Gas Station

Size

4 Locations

Location

Missouri

40%

increase in monthly ice sales

~350 to +500

bags per month per store

About the Client

FavTrip

FavTrip is a locally owned and operated gas station and convenience store. FavTrip was founded in 2011 and has grown to 4 locations, each providing a localized experience and with a strong community connection. FavTrip is committed to growing leaders that utilize the latest technology and outside the box thinking to help their stores thrive in a competitive market. Customers visiting any of their locations experience the same friendly service and quality products expected from an industry leader. Their owner and CEO, Babir Sultan, is a prominent figure in the fuel and convenience industry and serves on the Board of Directors for NACS.

Situation

FavTrip proudly bags their own ice, which is a trip driver for customers and high-margin profit driver for their stores. Despite consistently high customer demand, sales of bagged ice were not meeting expectations on Saturdays and Sundays. Transaction data (T-logs) and other potential sources of information were not able to diagnose the root cause of the issue.

Objectives

Core Goals

Understand the root cause of low ice sales during weekends and take immediate action

Actions Taken

How InStore.ai Drove Results

01
FavTrip leveraged InStore.ai’s search capabilities to identify gaps in operational workflows and to analyze interactions about declining sales of ice on the weekends.
02
The analysis helped FavTrip uncover the root cause of the missed sales – a lack of resource and focus on bagging ice on the weekends. With these insights, the company was able to address staffing gaps and emphasize the importance of maintaining ice supply every day to ensure consistent ice availability.

“Taking care of your existing customers is the best marketing you can do, right?

It’s not rocket science - you add the things customers ask for and the sales go up. InStore makes it easy."

Babir Sultan

Owner/CEO - FavTrip

How InStore.ai Works

Actionable Insights from Every Conversation

Voice conversations between cashiers and customers are captured, analyzed, and transformed into targeted coaching actions — with zero integrations required.

Devices Installed at POS
Compact devices capture voice interactions where they happen — no integrations, no IT overhead.
AI Captures Key Events
The AI identifies business-relevant moments: loyalty mentions, sign-up prompts, savings communicated.
Automated Actions Pushed
Summaries, coaching clips, and performance data are automatically delivered to managers and teams.