carrier rate formats built in and standardized
It's just Ehelp's first sample — and the easiest to explain: spot opportunities in web inquiries, prioritize by port, lane, dangerous goods, number of quotes and client type, then nudge the sales team to act.
Rules like Qingdao origin, dangerous goods, India/Pakistan/Red Sea/Southeast Asia come from Bob's real business judgment and must be written down as clear rules first.
AI won’t quote for you, but it flags the inquiries “worth handling today,” cutting copy-paste and missed messages.
Statuses like high-priority, pending, quoted and needs-review flow into a table or system, forming a trackable workflow.
The same method extends to the email workbench, rate tidy-up, B/L checking and follow-up notes.
carrier rate formats built in and standardized
columns — messy rates unified into one standard schema
core fields compared between B/L and client instructions
automated tests guarding checking reliability
We label each tool honestly: what is usable is usable, what is still being refined we say so. We do not dress up prototypes as finished systems.
Normalizes rate text, tables and OCR text into one standard rate row, with multi-carrier format calibration.
Auto-pairs samples with carrier documents, compares field by field and outputs a structured report.
Handles platform inquiry sync, local storage, pricing and quoting — with a read-only pre-check before any submission.
Archives WeChat messages, exports for search, and hands suspected rate messages to rate extraction.
Queries container, B/L and booking numbers across multiple sources and unifies the results.
Looks up rate sheets by port conditions and outputs human-readable results.
Full automation in one leap is not the goal. Separate the two kinds of work first, and automation holds steady — and earns trust.
No need to define a giant AI project first. Bring an email thread, a rate sheet, a quoting rule or a B/L checking process — and see if AI can lay the groundwork for you.