Data Fusion
Tigris Data Fusion converts emails, PDFs, spreadsheets, schedules, and system feeds into clean operational data that the rest of your business can use.
Critical information rarely arrives in a clean system-to-system format. It arrives in attachments, partner templates, copied emails, schedule updates, spreadsheets, and last-minute notices — all describing the same operational reality in different ways.
So teams compensate manually:
By the time the data is usable, the decision is already late.
Where the data actually comes from
Emails & attachments
Schedule updates, notices, carrier and agent emails
PDFs & documents
Voyage schedules, reports, manifests
Spreadsheets
Partner templates, inventory, allocations
API feeds
Carrier systems, terminals, depots
Continuous, not batch
Intelligent document processing with logistics context
Data transformation software for operational data
Entity resolution and quality enforcement
One consistent output for the rest of the business
What the layer includes
Source connectors
Email, PDF, Excel, CSV, API feeds, webhooks, Graph.Change detection and version tracking
New inputs compared against previous versions — teams see what changed, not just what arrived.Audit trail
Full traceability from raw input through extraction, transformation, and delivery — compliance-ready data lineage.Generic document extraction software gives you text. Data Fusion gives you structured operational records that Builder can use immediately to create tools and applications.
That is the difference between capturing information and making it operational.
Operations do not stay still. New partners, new templates, and new feeds appear constantly. Data Fusion is built as extensible data pipeline software to absorb that change — add new source types, refine extraction logic, and support new requirements without rebuilding the pipeline.
Raw input comes in. Structured operational data comes out. Here is what that looks like across different source types.
What came in
An Excel file from a container depot — 2,847 rows, inconsistent condition codes, merged cells, and free-text notes columns. No standard format.
What your team sees
1,923
Available
287
In Repair
637
Allocated
12 anomalies flagged for review
23 depot locations identified and mapped
What came in
An unstructured email from a carrier's operations team — plain text, no template, abbreviations, a revised ETA buried in a paragraph, and a list of affected bookings.
What your team sees
Vessel
MSC Aurora — Voyage 214W
Port
Jebel Ali
Revised ETA
14 Mar · 14:00
Delay
30 hours
3 affected bookings identified · cut-off dates automatically updated
What came in
A 13-page scanned Safety Data Sheet for a chemical cargo — dense regulatory text, tables across multiple pages, mixed languages, and critical handling and transport data buried throughout.
What your team sees
Product
Ferrosil 40 · Industrial Compound
Hazard classification
Not classified
Transport (IMDG / IATA)
Not applicable
Storage requirement
Dry · cool · ventilated
Emergency contact
M. Al Farsi · +971 4 123 4567
All 16 SDS sections processed · cargo record updated · no handling flags
What came in
A live gate-move feed from a terminal system — inconsistent field naming, Unix timestamps, weight units mixed between feeds, and typos in customer references.
What your team sees
Event
Gate In
Container
TGSU 284736-1
Time
7 Mar · 14:40
Weight
22,400 kg
Customer
Maersk · PO-4471
Record matched, reference corrected, graph updated
Documents processed daily
10,000+
Source types supported
12+
Avg extraction time
<20s
System uptime
99.9%
Data Fusion structures your raw operational data. Builder turns that data into the applications your teams need. The Platform is where those applications run — live, for your organisation and your customers.