Tendering Strategy

our tactics pipeline architecture

Overview

A strategy is a distinct set of tactics, defining how to procure capacity for a given transport job. In a few seconds, the platform uses a strategy from its portfolio to intelligently decide on these points: The price range to bring to procurement, the timing of carrier offers, the offer to make, and the carriers to engage at each moment. The diagram below shows these decisions in sequence.

strategy timeline

Strategy Families

The platform holds a portfolio of strategies from which to choose, and new ones are being developed all the time. Here is an example diagram showing some of the strategies mapped to their dominant pricing anchor. We code-name strategies by cocktails, hence the names shown below. A typical customer will see a continuous introduction of new strategies, with the least performing ones eventually edged out automatically.

families of strategies

Reinforcement on What?

This area of the platform uses a kind of machine learning called "Reinforcement Learning". A key question here is "what is the software learning to do". In general, the platform is learning against three procurement goals:

Lower Spend

Find the carrier within your approved list who is willing to provide capacity at the lowest cost-to-serve.

Reduce Risks

Avoid delays in execution, rejecting of tenders, and cancellations of jobs after acceptance.

Manage Carriers

While staying in carrier-specific spend commitments, rightsize the carrier pool by laneway.

We believe tendering strategy is at the heart of procuring road freight each day. Learn about how strategies fits into our AI pipeline here.