Data Unification

Overview#

The same shipment generates data across dozens of systems — carrier portals, your TMS, ERPs, email confirmations, spreadsheets. Each source has a partial, sometimes conflicting, view of the truth. Data Unification takes all of that fragmented data and produces a single, reliable record for every shipment.

This goes far beyond removing duplicates. Mithrilis handles conflicting information, learns which sources to trust, merges records intelligently, and gives your team tools to resolve the edge cases where the system needs a human decision.

Unified shipment record with source attribution

The Unified Record#

Each shipment gets a dedicated page that serves as the single source of truth — assembled from every system that touched it.

What You See#

• Key details at a glance — Status, carrier, route, and dates in one place
• Where each field came from — Every value shows which system provided it and when it was last updated
• All contributing sources — Expand any source to see exactly what data it provided and whether its values were used or overridden

Visual Source Map#

A visual map shows how data flows from your connected systems into the unified record. Use it to quickly understand which systems contributed what — especially useful when investigating data quality issues.

Toggle between a source view (which systems provided data) and a relationship view (how this shipment connects to orders, carriers, and routes) depending on what you need.

Confidence Scoring#

Not all data sources are equally reliable. Mithrilis scores every field based on how trustworthy its source is and how much agreement there is across systems.

How It Works#

Each source builds up a trust score over time based on:

• Track record — How often this source has been correct in the past
• Completeness — How much data the source typically provides
• Freshness — How recent the data is

When multiple sources report the same field, the system weighs these factors to decide which value to trust. If most sources agree, the value gets high confidence. If sources disagree with no clear winner, the field is flagged for your team to review.

What You See#

The confidence view shows a clear indicator for each field — High, Medium, Low, or Conflicted — along with which sources contributed and why the system chose the value it did.

Confidence view showing field-level trust indicators

Conflict Resolution#

When sources disagree and the system can't determine the right answer on its own, the conflict is surfaced for your team to resolve.

Side-by-Side Comparison#

Each conflict shows the differing values from each source, along with context about when the data was reported and how reliable each source has been historically. If the same conflict has come up before, the previous resolution is shown.

Resolution Options#

• Pick the right value per field — Accept the delivery date from one source but the weight from another
• Split records — If two different shipments were incorrectly grouped together, separate them
• Combine records — If the system kept two records apart that should be one, merge them

Your resolutions make the system smarter over time — it learns from your decisions and improves its confidence scoring for future records.

Conflict resolution with side-by-side field comparison

Built for Scale#

The unification system processes data continuously as it arrives from your connected systems. It handles thousands of records without slowing down your team's workflow, and you're notified when conflicts need attention or when anything needs manual review.

Getting Started#