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ARGUS · Logistics operations

The inbox stopped deciding the margin. The most valuable request gets answered first.

Email triage that ranks a logistics team's inbox by customer value and SLA, and drafts the replies.

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ARGUS, live

Every

incoming request read, sorted and scored

5

signals in each priority score, SLA included

On-site

runs on the client's own servers

the problem

A logistics operator's quotes, bookings and complaints all landed across several shared mailboxes with no structure. Urgent requests from big customers sat next to newsletters, and the data couldn't leave the company's own servers.

what we built

The pieces that made it work.

1

Threads as work items

Every conversation grouped, classified (quote, booking, complaint, info) and its key details pulled out: routes, weights, dates, references.

2

Priority scoring

Each thread ranked by time waiting, customer value, request type, urgency and SLA.

3

Team board

A simple workflow from new to done, with assignment, so nothing gets answered twice or not at all.

4

Assisted replies

Drafts grounded in the thread and the company's own knowledge. The agent edits and sends, and the edits make it better.

5

Runs on their servers

Deployed on-premise with local AI models, so customer email stays in-house.

the result

What changed.

  • The most important email gets answered first, not the newest.
  • Response times, SLA adherence and quote conversion tracked in one report.
  • AI help without sending customer data to the cloud.
sound familiar?

This is for you if...

  • Quotes, bookings and complaints all land in shared inboxes.
  • Your biggest customers wait behind newsletters and internal threads.
  • Your team retypes details from emails into other systems.
  • Customer data can't leave your own servers.

what it costs

Pro

from £4,950

Builds like this are Pro projects: a fixed quote up front, then from £249/mo to host, run and keep improving it. Not ready to commit? Start with a £950 discovery sprint: a working prototype of your workflow in a week, credited against the build.

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Built with: Next.js · Fastify · Postgres + pgvector · local LLMs · IMAP/SMTP · Docker, on-premise
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