Corpus ID: 88522903

A Dynamic Bayesian Network Model for Inventory Level Estimation in Retail Marketing

@inproceedings{ReyesCastro2016ADB,
  title={A Dynamic Bayesian Network Model for Inventory Level Estimation in Retail Marketing},
  author={Luis I. Reyes-Castro and Andres G. Abad},
  year={2016}
}
  • Luis I. Reyes-Castro, Andres G. Abad
  • Published 2016
  • Mathematics
  • Many retailers today employ inventory management systems based on Re-Order Point Policies, most of which rely on the assumption that all decreases in product inventory levels result from product sales. Unfortunately, it usually happens that small but random quantities of the product get lost, stolen or broken without record as time passes, e.g., as a consequence of shoplifting. This is usual for retailers handling large varieties of inexpensive products, e.g., grocery stores. In turn, over time… CONTINUE READING

    Create an AI-powered research feed to stay up to date with new papers like this posted to ArXiv

    Figures from this paper.

    References

    Publications referenced by this paper.
    SHOWING 1-8 OF 8 REFERENCES

    Retail Inventory Management When Records Are Inaccurate

    VIEW 7 EXCERPTS
    HIGHLY INFLUENTIAL

    Inventory Record Inaccuracy: An Empirical Analysis

    VIEW 1 EXCERPT

    Bishop.Pattern Recognition and Machine Learning

    • M Christopher
    • 2006
    VIEW 1 EXCERPT