A method and system in which the system receives input data for a first unit to determine a unit feature signal and a unit demand signal including predictive demand features. The system then determines, for the first unit at each of a plurality of offer values, a set of associated estimated probabilities that the offer value will be accepted within a short-term time period; determines an expected time-to-sell for the first unit at each of the plurality of offer values; determines an optimal offer value for the first unit; and displays the optimal offer value for the first unit on a webpage.

A method and system in which the system receives input data for a first unit to determine a unit feature signal and a unit demand signal including predictive demand features. The system then determines, for the first unit at each of a plurality of offer values, a set of associated estimated probabilities that the offer value will be accepted within a short-term time period; determines an expected time-to-sell for the first unit at each of the plurality of offer values; determines an optimal offer value for the first unit; and displays the optimal offer value for the first unit on a webpage.

A control unit performs: presenting information of each business operator or business that is a candidate for investment to the user; receiving an operation to select at least one business operator or business from the user; performing an analysis on a financial condition of at least one selected business operator or business; and presenting a result of the analysis. The presenting includes creating one graph in which the financial items of the selected business operator or business or the financial items of a combination of the selected business operators or businesses are associated with each other and presenting in the graph the financial items and comparison values of financial items of each of a predetermined sample number of business operators or businesses in a form that enable comparison therebetween on the same screen.

A system for generating commercial real estate tax appeal documents is provided. Financial statements about a property are submitted in various formats to a form generation device, which may collect property data from a variety of external sources. Machine learning models are executed to identify errors or inconsistencies in the data and provide an estimated valuation for the commercial property. Based on the estimated value and comparable sales data, the platform generates tax appeals documentation for user review and submission.

A specialized server within a real estate showing management system creates a showing appointment for a showing agent to show a listing and a set of geo-fences around the listing when the appointment is created. At a particular time before the showing, the specialized server notifies a showing agent mobile device to download the set of geo-fences and, when requested, provides the set to the mobile device. The mobile device notifies the specialized server when it breaches a geo-fence within the set. When a showing agent is late for a showing appointment, the specialized server automatically reschedules a subsequent showing appointment by an adjusted rescheduling time. The subsequent showing appointment is for the same listing by a different showing agent or a different listing by the same showing agent. Notifications about the rescheduled subsequent showing appointment are also sent to parties.

Techniques for improved data services are provided. Upon receiving a first request from a first client, a first timeline comprising a first plurality of events for an asset indicated in the first request is generated. Upon receiving a second request from a second client, a second timeline comprising a second plurality of events is generated. A first submission for the asset is provided to the first client, comprising updating a first graphical user interface (GUI) output on a first device of the first client. Upon determining that the first client approved the first submission, a merged timeline is generated based on the first and second timelines, where the merged timeline includes the first and second pluralities of events, comprising: updating the first GUI output on the first device, and a second GUI output on a second device of the second client, to indicate the merged timeline.

Methods and systems for transferring information, comprising: transmitting, by a first computing device of the first computing system, a first network function request to a decentralized network, the first network function request including first information; and transmitting, by a second computing device of the second computing system, a second network function request to the decentralized network, the second network function request including second information.

An automated method for search includes: receiving search characters and a viewport location on a displayed geographic area corresponding to an area of interest; simultaneously searching a first entry source and a second entry source to obtain corresponding first suggested entries and second suggested entries, where the first suggested entries correspond to geographic locations that are closer to the viewport location; ranking the first suggested entries according to first rules of relevancy, and generating first ranked suggested entries; ranking the second suggested entries according to second rules of relevancy, and generating second ranked suggested entries; combining the first and second ranked suggested entries into a combined set of suggested entries, and ranking the combined set of suggested entries according to combined rules of relevancy, and generating combined ranked suggested entries; and transmitting the combined ranked suggested entries to a user for selection of a desired type ahead entry.

An automated method for search includes: receiving search characters and a viewport location on a displayed geographic area corresponding to an area of interest; simultaneously searching a first entry source and a second entry source to obtain corresponding first suggested entries and second suggested entries, where the first suggested entries correspond to geographic locations that are closer to the viewport location; ranking the first suggested entries according to first rules of relevancy, and generating first ranked suggested entries; ranking the second suggested entries according to second rules of relevancy, and generating second ranked suggested entries; combining the first and second ranked suggested entries into a combined set of suggested entries, and ranking the combined set of suggested entries according to combined rules of relevancy, and generating combined ranked suggested entries; and transmitting the combined ranked suggested entries to a user for selection of a desired type ahead entry.

A method and system for capturing research decision flow in a Research and Development (R&D) activity are provided. The method includes defining an objective of the R&D activity and determining one or more requirements for fulfilling the objective of the R&D activity. Further, the method includes identifying a set of risks associated with failure to satisfy the one or more requirements. Furthermore, the method also includes defining a set of tests to verify that the requirements are satisfied or the risks have been mitigated. Furthermore, the method also includes developing a task plan to satisfy the one or more requirements and mitigate one or more risks of the set of risks. Furthermore, the method also includes linking the objective, the one or more requirements, the set of risks and the task plan, to generate a linked information record.