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LET'S MAKE IT REAL

What does this actually look like?

Two interactive environments below, built on sample data, showing how Srihan operates inside a real workflow.

DEMO ENVIRONMENT — SAMPLE DATA

Operations Control

Northline Logistics — DEMO DATA
126
ACTIVE SHIPMENTS
94
IN TRANSIT
82
ON SCHEDULE
9
AT RISK
3
DELAYED
17
POD PENDING
OPERATIONAL MAP LIVE

AI OPERATIONS

3 shipments require attention.

SH-1042 is currently predicted to arrive approximately 4 hours after its original delivery window.

REASON

  • Current route conditions
  • Previous delay on this lane
  • Latest vehicle update

RECOMMENDED ACTIONS

Order Intelligence

SunCore Energy Systems — DEMO ENVIRONMENT / SAMPLE DATA
42
ORDERS TODAY
11
PENDING QUOTATIONS
18
PRODUCTION ORDERS
9
READY FOR DISPATCH
14
IN TRANSIT
7
SERVICE REQUESTS
"I need 100 inverters."
PRODUCT — Inverter QUANTITY — 100
AVAILABLE72
REQUIRED100
SHORTFALL28

72 units are currently available. 28 additional units require production or procurement before the full order can be fulfilled.

AI OPERATIONS

AI that doesn't just answer.
It helps operate.

MANAGER
Which shipments need attention today?
AI
7 shipments require attention.

3 are likely to miss their delivery windows.
2 have missing documentation.
1 transporter has not responded.
1 shipment contains inconsistent status information.

I've prepared the relevant actions for review.

Automation levels, permissions and approvals are defined according to each client's business rules.

Selected systems and case studies will appear here.

The environments above are DEMO / PROTOTYPE