Turn your quotes into reusable templates
Turn your quotes into reusable templates

Team Freightify

RMSV1 Quotations

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The new Save as Template feature allows you to convert any generated quote into a reusable template, complete with all rate cards, charges, and configurations. Instead of building quotes from scratch every time, you can now save a structured quote once and reuse it to quickly create new quotes for different customers.

Freight forwarders often deal with repetitive quoting across similar trade lanes and shipment types. Manually recreating these quotes not only takes time but also increases the risk of inconsistencies and missed charges. With templates, you can standardize your quoting process, reduce manual effort, and ensure every quote follows a consistent and accurate structure.

See how to save a quote as template and reuse it

The impact is immediate with faster quote turnaround, improved team productivity, and better response times to customer requests. By enabling teams to handle more quotes in less time while maintaining quality and consistency, this feature helps you scale your operations efficiently and improve your chances of winning business.

Let us help you with your journey

Let us help you with your journey

Let us help you with your journey

Frequently Asked Questions

Q: What is data-driven decision-making in freight forwarding?

It’s the process of using centralized, structured data and AI insights to drive procurement, pricing, and quoting decisions across global teams.

Q: Why is it difficult for freight forwarders to become data-driven?

Because most use legacy TMS systems and Excel workarounds that trap information in silos, making collaboration and transparency difficult.

Q: What is decision intelligence in logistics?

Decision intelligence connects data, people, and AI systems to continuously learn from transactions—transforming experience into scalable foresight.

Q: How does AI improve freight pricing and procurement?

AI learns from historical contracts, quotes, and bookings to suggest optimal pricing, detect anomalies, and improve margin consistency.

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