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