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Smart shelf system that suggests products depending on preferences

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Bullseye Showcase

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Overview

Bullseye is a smart shelf system that suggests products depending on preferences. Customer fills in a questionnaire consisting of single choice questions and submits their choices. Then application lights up shelf with the best matching product based on given answers to visually indicate which products to pick up and presents overall result on the screen.

Bullseye consists of two parts:

  • backend (server)
  • frontend (client)
  • Raspberry PI client (for controlling shelves)
  • hardware (used on each shelf individually)
  • set of shelves with lights connected to Raspberry Pi

Bullseye communicates with RPI using MQTT protocol which is not included in this project.

Prerequisites

  • Kyma cluster for deployment
  • MQTT server for communication with hardware
  • Raspberry PI with raspberry client deployed
  • Shelves with hardware code installed and physically connected to RPI
  • SAP Commerce Cloud instance with Omni Commerce Connect extension

Installation

Refer to installation document.

Configuration

Refer to configuration document.

Usage

Diagram Bullseye

frontend part of application presents questionnaire which consists of single choice questions. After submitting answers a list of available products, sorted descending by matching score is being presented to a user. The best matching product is exposed on a top of a site. A shelf with the chosen product is being light up to indicate what should be picked by the user. For more details refer to frontend docs.

backend part is for an administrator to adjust questions, answers, products and mappings between them. For more details refer to backend docs.

raspberry part introduces client for Raspberry PI which enables communication through MQTT broker. It controls shelves connected to RPI using hardware part. For more details refer to raspberry docs and hardware docs.

Development

  1. Fork the repository in Github.

  2. Clone the fork to your $GOPATH workspace. Use this command to create the folder structure and clone the repository under the correct location:

    git clone git@github.com:{GitHubUsername}/bullseye-showcase.git $GOPATH/src/github.com/kyma-incubator/bullseye-showcase
    

    Follow the steps described in the git-workflow.md document to configure your fork.

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