kooper
Intelligent grocery shopping list app based on machine learning algorithms. Analytics and shopping behavior monitoring. Custom development by Distributed Hub.
[ MOBILE ] [ IoT ]
2015
Daily and weekly grocery trips can become quite complicated and time-consuming. Based on the research and experience of avid shopping enthusiasts, we outlined major inconveniences that shoppers generally face and most of us commonly relate to:
Building lists of go-to items on smartphone notes or a piece of paper;
Browsing through store websites or promo flyers to find discounts;
Coordinating purchases with family or friends in different stores.
As a result, we came up with an idea to build a grocery list app and combine both a smart mobile shopping list and personal smart shopping assistant in one single mobile software.
From Ideation to Goal Creation
We were really excited by the idea to improve customer shopping experience by making it less tedious and boring and targeted our efforts to create an app that:
Makes easy-to-use grocery lists and tells which items are on sale;
Learns customer patterns and organizes personalized lists accordingly;
Sends push notifications about deals on frequently purchased items;
Analyzes purchases and offers customers detailed analytics.
Monitors time-based customer behaviors
The outcome of our Distributed Hub team’s collaborative effort is Kooper – a swift mobile app for smart shopping list creation.
Kooper is a shared grocery list app that learns your shopping habits as you use it and makes personalized shopping suggestions. The mobile app automatically collects information about products and discounts from your favorite local stores and helps create and manage individual or collaborative shopping lists.
Shopping Assistance
Kooper is highly interactive. The mobile app guides you through the store and provides information about special offers, sales, product price, and product score. The autocomplete feature offers suitable match items as you type, basing the suggestions on your previous purchases and favorite (starred) products.
Progressive UI/UX
Kooper’s UI offers pleasurable swipes and taps for navigation. The overall intuitive user experience helps to easily sort, move, and copy items within a single shopping list or between several of them. Tap and hold to move the item or change its priority. Tap once to cross the item off. Tap twice to remove it completely from your list.
AI-Based Features
What breaks Kooper from the pack is neural network integration. Distributed Hub AI engineers incorporated this feature into the Kooper shopping list app to enable personalized tips and suggestions based on the analysis of shopping preferences, habits and add-to-cart sequence.
Optional Push Notifications
You can set up location-based reminders to let Kooper send push notifications when you are in the range of one of your favorite stores. In addition, Kooper alerts users when it’s the best time to go shopping and helps you stay up-to-date on all the latest discounts and sales! No wasting time on searching for the special offers in your browser or through a pile of promotional store flyers.
Shared Shopping Lists
What breaks Kooper from the pack is neural network integration. Distributed Hub AI engineers incorporated this feature into the Kooper shopping list app to enable personalized tips and suggestions based on the analysis of shopping preferences, habits and add-to-cart sequence.
Quick Cooking Hacks
You can set up location-based reminders to let Kooper send push notifications when you are in the range of one of your favorite stores. In addition, Kooper alerts users when it’s the best time to go shopping and helps you stay up-to-date on all the latest discounts and sales! No wasting time on searching for the special offers in your browser or through a pile of promotional store flyers.
FEATUres
Create and manage personalized shopping lists
Integration with 17 retail networks
Location-based hot deal push notifications
Shopping list sharing and joint editing
Analysis of purchase history
Access to reviews on stores and products
Item suggestions and cooking tip pop-ups
Interactive map of stores
Shopping list syncing between devices
12 months
duration
13400
man-hours
Projects
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