Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for listing conversion estimation and optimization. A listing conversion estimation and optimization system receives a set of listing data for generating a listing of an item for sale on an online marketplace and determines, based on the set of listing data, a likelihood value indicating the likelihood that the listing will result in a sale within a given time period. The listing conversion estimation and optimization system causes presentation of a graphical indicator representing the likelihood value on the display of the listing user's client device.

Abstract: Systems and methods for providing warehousing services that utilize a machine learning model are provided. The system trains a machine learning model with training data comprising item attributes and transaction locations extracted from past transactions for each item category to identify a plurality of transaction zones where each item category has a highest probability for selling. Subsequently, the system receives a warehouse request to warehouse inventory in a remote location. At least one transaction zone is determined based on item attributes of the inventory by applying the trained machine learning model. Based on the determined at least one transaction zone, the system determines one or more warehouse spaces that satisfy a spacing requirement for the inventory and causes presentation of the warehouse recommendation. The warehouse recommendation can indicate the one or more warehouse spaces.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for listing conversion estimation and optimization. A listing conversion estimation and optimization system receives a set of listing data for generating a listing of an item for sale on an online marketplace and determines, based on the set of listing data, a likelihood value indicating the likelihood that the listing will result in a sale within a given time period. The listing conversion estimation and optimization system causes presentation of a graphical indicator representing the likelihood value on the display of the listing user's client device.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for listing conversion estimation and optimization. A listing conversion estimation and optimization system receives a set of listing data for generating a listing of an item for sale on an online marketplace and determines, based on the set of listing data, a likelihood value indicating the likelihood that the listing will result in a sale within a given time period. The listing conversion estimation and optimization system causes presentation of a graphical indicator representing the likelihood value on the display of the listing user's client device.