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Subway Live IQ Integration

How to connect to your Subway Live IQ Account.

Updated this week

This guide explains how to set up and use the Subway LiveIQ integration. Once connected, Tanda automatically imports your sales and unit data so you can roster staff based on real customer demand.

After setup, your rosters will include demand forecasts based on your historical data.


What this integration does

The Subway LiveIQ integration connects your Subway point of sale system to Tanda using Subway’s official LiveIQ connection.

Once set up, it will:

  • Automatically import sales and unit data every 6 hours

  • Show demand in 15 minute time blocks

  • Include both revenue and units

  • Help you see how busy your store is throughout the day

  • Let you compare labour costs to sales revenue

  • Support forecasting and smarter staff scheduling


Before you start

Tanda access

You need:

  • Administrator access

  • Permission to manage settings for your organisation

Subway LiveIQ access

You need:

  • LiveIQ access enabled for your Subway restaurant

  • A LiveIQ API Client ID

  • A LiveIQ API Key

These details are provided by Subway. If you do not have them, contact your Subway franchise support team or technology coordinator.


Setting up the integration

  • Step 1: Select the integration

    First, navigate to Settings > Integrations > POS Integrations > New POS Integration and select Subway Live IQ from the List and click 'Connect to LiveIQ'.

  • Step 2: Generate your API Credentials in your LiveIQ FreshConnect Portal

    Navigate to LiveIQ Reporting > FreshConnect.

    Once you review and accept the terms of use, an 'Instructions' tab will become available in the FreshConnect Menu.


    These instructions will step through creating your API Credentials.

  • Step 3: Enter your Subway API credentials

    In Tanda, Navigate to Settings > Integrations > POS Integrations > Edit Integration and enter your Subway LiveIQ API Client ID and API Key and click Save.

    If entered correctly, you'll see 'Connected!'. You can then kick-start the integration by clicking 'Import data from last 30 days'.

  • Step 4: Link data to your rosters

    Each restaurant will appear as a separate data stream in Tanda. You need to link these data streams to the correct location and team.


    To link the data to your roster, navigate to Settings > Integrations > Manage Data Streams.

    Select a data stream and click the dropdown to the right of 'create new join'.


    Select the store location, as well as the team you'd like to link it to (usually 'sandwich artist').


    Set your rostering ratio:

    For the team, enter a rostering ratio.

    For example:

    • 1 person for every 5 units made.

    A typical setup is:

    • Units linked to the team for staffing decisions.

    • Sales linked to the location for labour cost tracking.

    This allows you to roster based on how busy the store is, while still tracking labour spend against revenue.


How to use LiveIQ data in Tanda

KPI Monitoring (Wage % Of Revenue / Sales Per Labour Hour)

Rosters

Reports

  • Weekly Planner: Located on the dashboard at Time & Attendance > Dashboard

  • Tanda's Cost Reports: Located under Reports > Costs



Smarter scheduling

Using your sales or unit data, Tanda looks at your past demand to predict how busy future shifts will be.

Tanda then:

  • Suggests how many staff you need at different times of the day

  • Highlights where you may be over or under staffed

  • Helps reduce unnecessary wage spend

When working on a roster, switch to Day View to roster against demand. You can view demand in two ways: Table View or Graph View.

Table View

Table View shows demand as a heat map.

  • Each cell represents a time block

  • Numbers show the recommended number of staff (this is based on the roster ratio set in the data stream)

  • 🔴 Red highlights mean you are under rostered

  • 🔵 Blue highlights mean you are over rostered

This view is best for quickly spotting problem areas and adjusting shifts.

Graph View

Graph View shows demand visually across the day.

  • Bars represent forecasted and actual demand

  • The lines represent how many staff are rostered and suggested to work.

  • Peaks show busy periods

  • Troughs show quieter periods

This view helps you understand how staffing lines up with demand over the full day.

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