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Start from real problems
Don't rush into a big system. Begin with the daily friction — screening inquiries, tidying rates, checking B/L fields.
Ehelp is an AI workflow practice for freight forwarders, foreign-trade and B2B teams. From emails, inquiries, quotes and rate sheets to B/L checking and customer follow-ups, we start from what you actually handle every day, turn messy information into clear, step-by-step workflows you can run and audit.
AI takes over the repetitive, easy-to-miss work; the calls that actually matter stay with people.
「Order first, then automate」Put the work in order first — fields, rules, risks and human-review points — then let AI carry it out within clear boundaries.
Don't rush into a big system. Begin with the daily friction — screening inquiries, tidying rates, checking B/L fields.
Which clients reply first? Which lanes get priority? Which fields must a human re-check? Turn that experience into clear rules so AI can hold steady.
High-risk actions — quoting, cargo release, documents, compliance — are never AI's call. AI preprocesses; people confirm and commit.
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.
It does not make the call for you — it gets the repetitive, easy-to-miss prep done first; the key decisions stay with people.
When an inquiry arrives, port, lane, commodity, dangerous-goods flag and number of quotes are pulled out and ordered first — so the rep opens it already knowing which to answer first, instead of digging through emails.
Whether a rate sheet comes as Excel, PDF or a screenshot, it is normalized into one standard set of fields, then a person checks the key prices — finding and matching rates no longer relies on memory or old files.
The B/L draft is checked field by field against the customer's instructions; differences in key fields (commodity, weight, shipper/consignee) are flagged first, so a person only reviews what's highlighted instead of reading both documents end to end.
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.