How We Built the Autera Quote Engine

The most common thing we hear from freight forwarders when we ask about their quoting process: "It depends." It depends on the lane. It depends on the carrier. It depends on whether the rate card is current. It depends on who in the office knows the right surcharge for that commodity type. That answer."it depends".is the architecture of a spreadsheet dressed up as a business process.

When we built the Autera Quote Engine, we started from one constraint: the system had to produce a branded, accurate, customer-ready quote in under 90 seconds, from the moment a lead submits an inquiry on the website. Here is how we got there.

Step 1: Standardizing the Inquiry

Before you can quote automatically, you need structured input. Most inbound freight inquiries arrive as unstructured emails."I need to move a container from Shanghai to Los Angeles in March, what's your rate?" That sentence is missing origin port, destination port, commodity type, container size, Incoterms, and a dozen other fields that affect price.

The first thing we built was an intake form that sits on the client's website and collects the minimum viable data set for a quote: origin and destination, mode (air, ocean, truck), commodity description, weight and dimensions, preferred dates, and any special handling flags. The form is designed to take under two minutes to complete, with smart defaults that reduce friction while capturing the structured data the rate engine needs.

Step 2: The Rate Database Layer

Carrier rate cards are a mess. They come in inconsistent Excel formats, with different column structures, surcharge naming conventions, and validity windows. Our rate ingestion layer parses the most common carrier sheet formats and normalizes them into a structured database, with fields for base rate, origin surcharge, destination surcharge, fuel adjustment factor, commodity exceptions, and validity dates.

The engine then queries this database against the incoming inquiry.matching origin/destination pairs, applying the current fuel surcharge index, and flagging any commodity exclusions. For lanes where multiple carrier options exist, it surfaces the top 2–3 options ranked by price and transit time.

Step 3: Margin and Markup Logic

Every forwarder has their own margin structure. Some work on flat markup per unit. Others use percentage-based margins that vary by lane or customer tier. A few have minimum margin floors that override the default. The Autera engine exposes these as configurable rules in a simple interface.so the forwarder can set their margin logic once and have it applied consistently across every quote, without a human doing the math manually each time.

Inconsistent margin application is one of the most common sources of profit erosion in freight forwarding. When quotes are built manually, different team members apply different markups.sometimes dramatically so.on identical lanes.

Step 4: The Branded PDF Output

A quote that arrives in a well-designed PDF.with the forwarder's logo, contact information, terms, and a clear rate breakdown.communicates professionalism in a way a plaintext email reply does not. We built a templated PDF generator that takes the structured quote output and renders it as a clean, client-facing document that can be emailed automatically or shared via a client portal link.

The PDF includes rate details, validity window, terms and conditions, and a clear next step.typically a "Confirm this booking" button that routes back into the workflow. That last element matters more than it sounds: removing any ambiguity about what the client is supposed to do next is one of the most reliable ways to improve quote-to-booking conversion.

Step 5: The Follow-Up Sequence

A quote sent is not a quote closed. The engine automatically triggers a follow-up sequence if the client does not respond within 24 hours.a reminder email that references the specific quote, the lane, and the validity window. A second follow-up fires at 72 hours. After that, the lead is flagged for a personal outreach by the sales team.

This last piece.the automated follow-up.is where most of the conversion lift actually comes from. The quote itself gets you in the door. The follow-up is what closes it.