The tender desk that prices itself

From RFQ to a defensible price — in minutes, not days.

Drop in any shipper's tender file. Tendered parses every lane, surcharge and accessorial tab, blends your cost model with executed-rate history, and hands you a per-lane price you can stand behind — with Ted, your Tendered agent, on the side, citing the exact cell it came from. You stay in control: Ted proposes, you approve.

  • Parses Coupa, Ariba, GEP, Transporeon and bespoke matrices
  • Smart-blend pricing over your executed history
  • Round-trip export back into the original workbook
  • Ted — a per-tender agent with cell-level citations

Checking session…

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Tenders today are days of retyping spreadsheets. With Tendered, they're minutes — priced with your strategy, returned in the customer's own file.

A single 5,000-lane tender is ~250 person-hours by hand.

Try it live — does it read your tender? Drop a real RFQ. It's parsed in your browser — the file never leaves this page.

Proposes — never applies without your approvalRows in = lanes out, proved on every parseTheir file returned byte-faithful outside the answer cells

Your intelligence stays yours — everything the agent learns lives in your workspace and never shapes anyone else's prices. How it works

How a tender moves through Tendered.

  1. 1

    The tender arrives

    Upload the shipper's Excel or take it from Google Drive. Every lane, column and remark is read — nothing lost, nothing re-typed.

  2. 2

    Ted prepares your answer

    Starting from your pricing — your past quotes, your executed loads, your rules. Market and cost data sit underneath as insight, and the calculation is shown on every lane.

  3. 3

    Your team decides

    Ted proposes; your pricers review, adjust and approve. Nothing is sent on its own.

  4. 4

    The file goes back complete

    Your answers are written into the shipper's original Excel — layout and formulas untouched, ready to return.

  5. 5

    The next round starts from this one

    When the shipper comes back, the tender opens with your previous answers and their feedback side by side — reprice with the first round's insight, repeat the workflow.

Meet your agent — the agentic flow in action. It proposes; you approve.

tendered · shipper_rfq_2026.xlsx
01 · Parse · vendor template recognised
$ tendered parse shipper_rfq_2026.xlsx
Lanes readrows in = lanes out
0/ 6
02 · Price · Ted prices it
03 · Refill · writing to the original workbook
cell writes0 / 12
Preserved
04 · Deliver · the shipper's file, filled
shipper_rfq_2026_response.xlsx
original layout preserved · answer cells written

01 Parse
02 Price
03 Refill
04 Deliver

Ted — the freight brain in every tender.

Not a chatbot bolted on. Ted reads the whole workbook, knows EU road freight, and works your book — and every action he takes is a proposal you approve.

Answers from the file, cell-cited

“What's the free time?” → the value plus the exact Sheet!Cell it lives in. If it's not in the file, Ted says so — he never guesses.

Prices with the why — and how sure

Every suggested rate carries its full reasoning ledger and a confidence label. Below medium confidence, Ted asks a sharp question instead of proposing.

Flags what a pricer might miss

Cabotage limits, driver-rest rules, the France cab-ban, UK customs, low-emission zones — one quiet heads-up per lane that actually triggers it.

Watches your whole book

“Ted spotted” openings: customers you nearly won (and at what gap), re-bids coming due, which open tender to work first — from your own data.

Learns each shipper

How their template parses, how their tender fills, why a lane prices differently — remembered per customer, so round two is near-automatic.

Speaks any tender language

Ask in English, get the answer from a German, Polish or French workbook — freight vocabulary is matched across languages.

Ted reaches

Excel, Google Drive, or your system — import & save the filled file backYour AI tools via MCP — Claude, Codex, Cursor, OpenClaw read your workspace

Every connection follows the same physics: Ted proposes, a human approves — nothing external ever writes on its own. Connect an agent →

Answer every tender worth winning.

The copy-paste morning disappears. Your pricers spend the day on judgement — which lanes to fight for, at what margin — not on retyping a shipper's spreadsheet.

< 1 hour

A full RFQ, priced and filled

From 2–3 days of consolidating and retyping. The first good quote usually wins.

2–3×

Tenders answered per pricer

The same desk handles far more RFQs — capacity you didn't have to hire.

Every lane

Priced with your strategy + a market benchmark

A defensible number with the why saved on it — you approve each one.

A team of people spending at least hours each per tender, on tenders a year, is ≈ €38,400 of manual tender work — at a €40/h loaded cost. Tendered does the copying; your team keeps the judgement.

Try it on your own tender — 10 included, free. Start now

Test the agent yourself

Sign in and it briefs you on your first tender — then runs the whole flow, on 10 free tenders. No card.

Then make it yours

We customise everything to your company and teams — your templates, your strategy, your people's lanes. You start from this and make it your own. Your data stays yours, in your own protected workspace.

And grow it with more agents

Agents are a new kind of tool — they work your other software for you. We can build agents that book into your ERP, chase approvals in Teams, or watch a workflow in the systems you already use.

Not just saving cost — finding revenue

The lanes you lost aren't in your TMS. Why would they be — they were never executed. We have them all.

Every lane you ever quoted — won or lost, with the price and the outcome — lives in Tendered. As you grow and get better, Ted mines them: "these shippers turned you down by a whisker — go ask them to reconsider you on these lanes; their tender season opens in six weeks." Sync Ted with your TMS and the magic compounds: your live operations meet every quote you ever made. Cost saving pays for it; revenue finding is why you keep it.