What Freight Needs Before You Request a Quote: The Order Data Checklist

Key Takeaways

A quote request is only as good as the order data behind it. Missing details turn one email into three and lead to inaccurate quotes.
10 data points cover most freight quotes: origin, destination, ship date, pieces, weight, dimensions, product description, freight class for LTL, special services and references.
Bad order data shows up later as reclassifications, accessorial charges and missed pickups.
Wilson, by Cartage, is an AI logistics agent that turns each order into a shipment from the ERP, a spreadsheet or email, and escalates when details are missing before it requests quotes.
For LTL, Wilson determines freight class from the customer's SKU catalog; the customer is responsible for the accuracy of the SKU data, weights and dimensions.

Why does order data matter before a freight quote?

A manufacturer's sales team marks an order "ready to ship." The coordinator emails four carriers for quotes. Two reply asking for dimensions. One asks if a liftgate is needed. One quotes, but the invoice later comes back with a reclassification. The order was ready. The freight data wasn't.

Order data matters before a freight quote because carriers price on details (weight, dimensions, class and services), and every missing detail adds a round of emails or a surprise on the invoice.

When booking slips because of back-and-forth, pickups slip too: ATRI found truck drivers were detained at 39.3% of stops in 2023.

What data does freight need before a quote request?

These 10 data points cover most freight quote requests.

#	Data point	Why carriers need it
1	Origin address	Pickup location and lane
2	Destination address	Delivery location and lane
3	Ship date and delivery window	Capacity and urgency
4	Pieces and handling units	Space on the truck
5	Weight	Price and equipment
6	Dimensions	Density and space
7	Product description or SKU	Classification
8	Freight class (LTL)	LTL pricing
9	Special services	Liftgate, appointment, inside delivery
10	References	PO, order and customer numbers

What goes wrong when order data is missing?

Missing order data creates 4 problems, and most show up after the load is booked.

Back-and-forth: carriers ask for details before quoting.
Reclassifications: wrong weight or dimensions change the LTL class.
Accessorial charges: services not requested get added to the invoice.
Wrong equipment: the truck can't load the freight.

Freight class has become more sensitive to dimensions: according to Transport Topics, on July 19, 2025, the NMFC moved to a 13-subprovision density scale for many items. See how AI automates freight class, NMFC lookups and density calculations.

How does Wilson, by Cartage, check order data before quoting?

Wilson turns each order into a shipment, checks that it has what carriers need and escalates missing details before requesting quotes. Traditional logistics software gives teams information. Wilson executes the work required to move shipments forward.

Step	Trigger	What Wilson does	When a person steps in
1. Intake	An order arrives from the ERP, spreadsheet, email or file drop	Turns it into a shipment	Not required
2. Check	The shipment is created	Checks the details needed to quote	If details are missing
3. Class	It's an LTL shipment	Determines freight class from the customer's SKU catalog	If a SKU or dimension is missing
4. Quote	Details are complete	Requests quotes from approved carriers	Not required
5. Book	The best option is clear	Negotiates and books	Bookings above the approval limit

Wilson works with SAP, NetSuite, Microsoft Dynamics 365 and most other ERPs, and with Google Sheets, CSV and Excel. See how AI turns spreadsheet orders into booked freight.

How do teams improve order data at the source?

Teams improve order data by fixing it where orders are created, not where freight is booked.

Add missing fields to the ERP order or spreadsheet template.
Keep the SKU catalog current with weights and dimensions.
Record special services at order entry.
Track which orders get escalated for missing data, and fix the pattern.

FAQs

What information do I need before requesting a freight quote? Origin, destination, ship date, pieces, weight, dimensions, product description or SKU, freight class for LTL, special services and references.
Why do carriers ask for dimensions? Because dimensions determine density and space, which affect price and, for LTL, freight class.
What happens if order data is missing? Expect extra emails before quoting, reclassifications, accessorial charges or the wrong equipment.
Does Wilson check order data before quoting? Yes. Wilson turns each order into a shipment and escalates missing details to the team before requesting quotes.
Does Wilson determine freight class? Yes. Wilson looks up the NMFC classification and calculates the density-based subclass from weight and dimensions, using the customer's SKU catalog. The customer is responsible for the accuracy of those inputs.
Where can orders come from? An ERP feed, a spreadsheet, email or a scheduled file drop.
How is Wilson priced? There's no subscription fee. Pricing is a percentage of the carrier payments that run through Wilson.

Conclusion

Most freight quoting problems start before the quote: a missing dimension, an unknown class, a liftgate nobody mentioned. A 10-item checklist catches them before carriers have to ask, or the invoice does. Wilson, by Cartage, turns each order into a shipment, checks the details, determines LTL class from the SKU catalog and escalates what's missing before it quotes. The practical first step is to compare your order template against the checklist and start Wilson on a few lanes.

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