Large enterprises generally lack a system that automatically obtains Internet bidding information and accurately pushes it to the corresponding marketing personnel, and it is easy to miss business opportunities. At present, some companies rely on manual efforts to collect bidding information and deal with it, but it is easy to make mistakes or omissions, and the practicality is low. This paper proposes an intelligent bidding information fit model, which includes a precise bidding information fit method based on a simple word segmentation mechanism and a loose matching bidding information fit model based on machine learning. Experiments based on a large amount of real bidding historical data show that the intelligent bidding information fit model has good engineering applicability, and can be used in the construction of the large enterprise intelligent customer service fit system.