Faster to a complete quote, with AI and Excel

A practical guide for dispatch and sales in freight forwarding and logistics. It shows why data work, not calculation, is the bottleneck in the quoting process and how different rate and tender data become a verified, comparable basis for calculation.

Request the guide 11 pages, practical guide, version 2.1, June 2026
Cover of Faster to a complete quote, with AI and Excel

What the guide covers

The German freight forwarding market is under considerable cost pressure. At the same time, the quoting and tendering process is often still manual, via email and Excel, with rate searches in data silos, outdated surcharge tables and comparisons in incompatible formats.

The guide shows why this costs time and margin and how different rate and tender data become a verified, comparable basis for calculation. At the same price, the decision goes to whoever delivers a complete, robust quote first.

Figures from the guide

74%
of companies lag behind the importance they themselves assign to digitalisationaccording to BVL trend study 2023/2024
No. 1
pain point of the industry is the digitalisation of business processesaccording to BVL

Chapters

  1. The problem, many quotes in Excel and no clean price comparison
  2. The hidden costs, margin pressure in the quoting process
  3. Limits of current approaches with Excel and generic cloud AI
  4. The better way to a robust price comparison
  5. In practice, analysing Excel files in small and medium enterprises
  6. Next step in the quoting process

Who the guide is for

For dispatch and sales in freight forwarding and logistics who calculate quotes and tenders from rates in emails, shared drives and Excel templates.

From chaos to a price comparison

Standardise freight rates from emails, shared drives and Excel templates and assign surcharges such as BAF, PSS and GRI.

Speed in the quote

At the same price, the fastest and most complete quote wins. Speed comes from clean data.

Rates stay in house

Why public cloud AI is ruled out for rates and terms and what the analysis in your own environment looks like.

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