Apps Like Fred's One Stop for iPhone and iPad
Fred's One Stop screenshots
Ranked alternatives
Showing 121–140 of 1,000 ranked alternatives.



Mamas Java Online
Queen Anne Ave Juice and Coffee LLC
Order ahead and earn rewards
Order ahead to customize and place orders for pickup at nearby stores. Track Loyalty Points and redeem rewards for free food or drinks. Find store locations, view hours, and receive personalized offers.



I Love Juice Bar
ToGoTechnologies, LLC.
Order ahead and earn rewards.
The app allows users to order ahead and pay for their selections, with options to schedule pick-up times and save selected orders. Users can also join the Juice Bar Rewards loyalty program to earn free items and find store locations with directions.



Vowell’s Marketplace
V Triple INC
Add coupons and track your list
Manage shopping list with added coupons and specials. Scan loyalty card at checkout to apply savings. View available coupons and select multiple for application during purchase.

J.P. Licks Rewards
Paytronix Systems Inc
Join program and find J
Join the program to earn and track benefits. Locate nearby J.P. locations. View account balance and . Add stored value to the account. Scan codes to pay using stored value.

Spyhouse
Fairwave Holdings LLC.
Order coffee, food, and pastries
Earn rewards by spending money at local Café. Order food, coffee, or pastries ahead and skip lines. Redeem points for free items or discounts. Get a birthday treat through the loyalty program.



Eddie Merlots
Mac Acquisition LLC
Join Prime Society and earn rewards
Join the Prime Society loyalty program to earn rewards. Check account balance and view rewards. Check in for visits to earn points. Locate nearby Merlot's restaurants. Make reservations or orders.


Barrio Burrito Bar
Incentivio, Inc.
Order burritos, customize, get delivered
Order ahead for pickup or delivery. Access exclusive in- offers. Earn and redeem loyalty rewards. Save favorite orders for future use. Locate nearby restaurants.

How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.