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How are estimated order weights calculated?

Achieve a more complete waste reporting with estimated container weights by using historical data and material-specific density calculations, even if little feedback is available.

Overview

By using historical data and material-specific density calculations, you now receive weight estimates for containers—even when feedback is missing. This enables faster, well-informed decision-making.

How It Works

Order weights are estimated using two intelligent approaches:

Estimation Based on Historical Data

If historical weight data exists for a specific container type and size, we use this to create a reliable estimate for new, unreported orders with the same specifications.

  • Source: Historical weight data from previous orders (up to 12 months back)

  • Basis: Material + container type + size

  • Use Case: Ideal for frequently used containers with reporting history

Calculation Based on Material Density

If no historical weight data is available, we estimate the weight using:

  • Material density (at AVV level)

  • Container size (volume in m³)

  • Assumed fill level of currently 70% (this value will be dynamically adjusted in the future)

This fallback option ensures you always receive a plausible weight value, even for new or rarely used combinations.

Disclaimer: The conversion factors are partly based on experience shared by operators of waste treatment facilities during waste statistics surveys conducted by the Bavarian State Office for Statistics and Data Processing. These are generally practical estimates by disposal companies and may vary in individual cases due to differences in waste density, moisture content, and composition.


Estimated Waste Volumes in the Waste Report

You can now group and filter orders by the method used to determine the weight:

  • Reported Weight – Directly reported by the waste management company

  • Historically Estimated Weight – Median weight based on past data for similar containers and materials

  • Estimated Weight – Estimated using material density and container data

  • Converted Weight – Weight converted from other units

  • Missing Data – Insufficient information available to make an estimate. Check if the container size is entered.

This allows you to:

  • Quickly assess which weights are estimated

  • Compare accuracy within your dataset

  • Decide when to accept estimates or request more precise data

  • Identify which waste managers report weights and where estimates are most frequent


 

Benefits for Users

Improved Reporting Accuracy

  • Achieve nearly 100% complete waste reports even when disposal companies fail to report data.

Close Data Gaps = Make Better Decisions

Incomplete datasets lead to skewed conclusions. Estimates ensure:

  • Waste KPIs (e.g., recycling rate, recovery rate, CO₂ calculations, cost per ton of waste) are based on representative data, not partial feedback only

  • Strategic decisions, e.g. switching waste service providers or changing container configurations, are based on solid context, not guesswork

Less Manual Work

Less follow-up with waste contractors and reduced manual data entry—thanks to automated estimation logic. Reduce:

  • Tedious manual follow-ups

  • Delayed report creation

  • Working with incomplete or error-prone spreadsheets

Better Insights – Even with Incomplete Data

Users who previously had incomplete reports can now generate meaningful insights, thanks to estimates that close gaps and extract value from partial information.

Flexible Control

Estimates are not final - you can review, accept, or replace them with new feedback at any time. Reported or manually entered weights will always override estimated values in the balance. Adopting estimated weights into order details increases the accuracy and completeness of your balance and future estimates.