Availability Reporting

Kala Haley
Kala Haley
  • Updated

Overview

Otter Availability Reporting is a new feature within the Otter Analytics app that provides you with historical data around your business’s uptime and downtime performance. This allows you to make informed decisions to improve operations.

 

Table of Contents


 

Downtime Features

Downtime Metric Cards.png

Downtime Metric Cards

 

Downtime Heat Map.png

Downtime Heat Map

 

Downtime Graph .png

Downtime Graph

  • Universal filters:

    • Date

    • Brands/Stores

    • Channel

  • Metric Cards for:

    • Downtime: The portion of time storefronts were unexpectedly offline

    • Always On impact: Estimated increase of sales from Always On enabled feature*

      • *Not available in all plans or regions

    • Estimated Lost Revenue: An estimated dollar amount of lost revenue caused by today’s downtime.

      • Est. Lost Revenue is based on the averages over the past 5 weeks of the specific day, hour of the day, and the unavailable minutes.

    • Highest Downtime: Breakdown by percentage and store location

    • Top Downtime Reason: Breakdown by percentage

  • Graph or chart of the downtime

  • Offline Log of downtime

    • Exportable

    • Table format
      Screenshot 2023-08-07 at 12.57.53 PM.png

  • Additional filters:

    • Graph: Line, Heat map

    • Data Set: 7-day rolling, Raw trend

    • Granularity: Hour, Day

    • Comparison: Compare to the previous period, Compare to the previous year

Offline Activity Log Columns

Column Details
Location Store location
Brand The brand being sold
Channel The online ordering platform
Offline Time The time of the offline event
Always On*

Was your store turned back on through the Always On feature

(*not available for all plans)

Duration The total time of the offline event
Category Intentional or unintentional offline event
Reason The reason the store was offline, if available

 


 

Estimated Lost Revenue Features

Lost Sales Metric Cards.png

Lost Sales Metric Cards

 

Downtime Heat Map.png

Lost Sales Heat Map

 

Downtime Graph .png

Lost Sales Graph

  • Universal filters:
    • Date
    • Brands/Stores
    • Channel
  • Metric Cards for
    • Downtime: The portion of time storefronts were unexpectedly offline
    • Always On impact: Estimated increase of sales from AlwaysOn enabled feature*
      • *Not available in all plans or regions
    • Estimated Lost Revenue: An estimated dollar amount of lost revenue caused by today’s downtime.
      • Est. Lost Revenue is based on the averages over the past 5 weeks of the specific day, hour of the day, and the unavailable minutes.
    • Highest lost sales: Breakdown by percentage and store location
    • Top Downtime Reason: Breakdown by percentage
  • Graph or chart of Estimated lost Revenue
  • Additional filters:
    • Graph: Line, Heat map
    • Data Set: 7-day rolling, Raw trend
    • Granularity: Hour, Day
    • Comparison: Compare to the previous period, Compare to the previous Year

 


 

Frequently Asked Questions

What package will this feature be under?

  • The Availability Reporting feature will be available to all customers with the Advanced Analytics, AlwaysO n** or Pro Packages.

  • **For our new packaging structure this is an add-on to Lite, included in Standard and Premium packages.

  • **Not available in all regions

How do you calculate Downtime?

  • Downtime is calculated as: Total unexpected downtime across channels today divided by total expected opening hours today.

How do you calculate Estimated Lost Revenue?

  • Estimated Lost Revenue is based on the averages over the past 5 weeks of the specific day, hour of the day, and the unavailable minutes.

Is there any lag/delay in the data?

  • There is up to a 3-hour delay in the data where it may not match the data of an online food ordering platform.

  • This data is gathered through polling, so it is also possible there will be a small difference in the data from the online food ordering platform.

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