Apps Like Kim's So for iPhone and iPad
Ranked alternatives
Showing 121–140 of 1,000 ranked alternatives.
Sea Dog Brewing Co
Paytronix Systems Inc
Check in and earn rewards
Find nearby Sea Dog locations and view the menu. Check in to earn rewards. View account balance and rewards. Manage loyalty program membership through the .
Taco Dále Rewards
Incentivio, Inc.
Order food, earn , track orders
Order food with menu browsing and location selection. Place orders ahead of time and view current deals. Earn by signing up and redeem points for free meals. Scan QR code for loyalty card access at checkout.
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.
Food Bazaar Home Delivery
Bogopa Service Corp.
Shop, save, and earn rewards
Shop online using improved search and filtering tools to find products quickly. Create an account to access loyalty program features and earn points on purchases. Track rewards and view account details within the .
Reyna Tapatia Boerne
KRKS Solutions LLC
Order food and join loyalty program
Order food from a curated menu. Access exclusive coupons and reward points. Track order status and view nutritional information. Redeem rewards for discounts. Manage loyalty account settings. Share orders with contacts.
Scarboroughs Restaurant
KRKS Solutions LLC
Order food and join loyalty program
Order food items from a customizable menu. Redeem loyalty points for discounts. Access exclusive coupons. Track order status and view nutritional information. Earn rewards for repeat purchases. Share orders with others.
Sabor A La Mexicana
KRKS Solutions LLC
Order food and earn rewards
Order food from an exclusive menu. Earn reward points and access coupons. Track order status and view loyalty program details. Redeem rewards for discounts. Share orders with friends.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.