Answering Freight Enquiries Faster: From Inbox Chaos to a Finished Quote

Why freight enquiries sit around for so long

A freight enquiry rarely arrives complete by email: sometimes the weight is missing, sometimes the exact pickup address, sometimes the desired delivery date. Before any calculation can even start, a follow-up question is often needed — and that takes time, because the responsible person is on the phone, on the road, or in a meeting. Once the enquiry is complete, the next step is manual: estimate the distance, look up the rate or pricing base, check surcharges, type up the quote.

Many forwarders and freight brokers know the consequences:

• Enquiries pile up in the inbox until someone finds time — often not until the next day
• Customers ask several providers at once; whoever replies first and cleanly often wins the job
• Calculations get done under time pressure, and surcharges or special terms occasionally slip through
• With high enquiry volume, there's barely any time left for the actual negotiation

The core problem: a large part of every enquiry is routine work — sorting details, setting up a base calculation — and yet it still ties up the same person who's supposed to be handling the demanding negotiations.

How an AI agent prepares freight enquiries

Step 1: Capture and structure the enquiry

The agent reads incoming enquiries from email, web form or portal and extracts the relevant details: cargo, weight, dimensions, pickup and destination, desired date, special requirements such as hazardous goods or refrigeration.

Step 2: Ask targeted follow-up questions for gaps

If details are missing, the agent formulates a precise follow-up question to the requester — instead of leaving the enquiry sitting, or working with assumptions that lead to wrong prices later.

Step 3: Preliminary calculation from your pricing logic

Based on your stored rates, per-kilometre prices, surcharges and special terms, the agent creates a preliminary calculation. For unusual constellations — such as special transports — it clearly flags the enquiry for manual review instead of calculating automatically.

Step 4: Prepare a quote draft

The preliminary calculation turns into a fully formatted quote draft in your usual layout — including terms, validity period and contact person. The responsible employee reviews it, adjusts the price strategically if needed, and sends it.

Step 5: Organise follow-up

If a response to a sent quote doesn't arrive, the agent reminds you to follow up after a defined period — including a suggested friendly reminder email. This way, enquiries with real order potential don't get lost in the pile.

Which systems get connected

The agent works with existing calculation spreadsheets, TMS price lists, email inboxes and web forms. Where there's no modern interface, the connection runs through exports, files, or operating the existing user interface — your familiar systems stay in use.

Data protection

Customer and pricing data stay within the defined framework: operation on German servers or entirely within your own environment, with a data processing agreement and complete logging of every calculation created.

What you can realistically expect

A typical result: standard enquiries get a quote draft ready for approval within a few hours instead of the next day. The sales or dispatch employee spends their time reviewing and negotiating instead of gathering basic data. Over time, the risk of overlooked surcharges also drops, because the preliminary calculation always runs on the same stored logic.

Important for expectations: for special transports, strategically important customers or price negotiations, the decision stays with the human. The agent provides the basis, not the negotiation strategy.

An often-underestimated side effect: because every enquiry gets captured in a structured way, you get an overview of enquiry volume, quote drop-off rates and typical enquiry patterns almost for free. That gives sales a basis for identifying which routes or customer groups are especially worth following up on — an analysis that rarely gets produced systematically in the day-to-day rush otherwise.

An everyday example

Say a forwarding company receives an enquiry via a contact form on Monday morning: 15 pallet spaces, pickup Tuesday, destination 300 kilometres away, no weight given. The agent asks the requester directly for the missing weight, gets an answer within an hour, and creates a preliminary calculation plus quote draft from it. The sales rep reviews the draft over their first coffee, adjusts payment terms and sends it — the customer has their quote before they've even called the competitor.

Common objections from the field

"Our prices are too individual for automation." The agent only calculates according to your stored logic — for deviations or special cases, it flags the enquiry for manual calculation instead of guessing.

"We don't want prices sent out automatically." Nobody has to — every quote draft goes to the customer only after human approval. The agent prepares, but doesn't send on its own.

"Our enquiries come in through many different channels." That's exactly what the agent is built for: email, web form and portal all flow into one unified structure instead of getting lost in separate inboxes.

"This will cost us the personal touch with customers." The opposite is true: because the basic data is available faster, there's more time for the actual sales conversation — the follow-up call where terms and special requests get discussed. The agent takes over the routine before that, not the conversation itself.

"Our prices change frequently, for example with fuel costs." The agent always calculates with the currently stored pricing logic — if per-kilometre rates or fuel surcharges change, the new base is used immediately for all following calculations. That reduces the risk of accidentally calculating with outdated rates.

Self-check: is this worth it for your business?

• Freight enquiries regularly sit for longer than a day
• Follow-up questions for missing details cost noticeable time
• Quotes get created under time pressure, and surcharges occasionally go missing
• Following up on sent quotes happens more by chance than by process
• Your sales team spends more time on basic data than on negotiation

If three or more of these apply, it's worth taking a closer look at your enquiry process.

The next step

We'll work out how to speed up your freight enquiries in a free intro call: we'll look at your pricing logic, enquiry channels and typical requests. A pilot follows within a few weeks. For more use cases, see our industry page AI in logistics.