| CPC G06Q 40/08 (2013.01) [G06N 20/00 (2019.01)] | 18 Claims |
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1. An apparatus for predictive ledger generation, the apparatus comprising:
a processor; and
a memory communicatively coupled with the processor, the memory containing instructions stored thereon, the instructions configuring the processor to:
receive a ledger file containing ledger data;
classify the ledger file to a ledger type, wherein classifying the ledger file further comprises:
receiving ledger training data correlating a plurality of ledger data types with a plurality of ledger classification types;
training a ledger classification machine learning model with the ledger training data;
outputting the one or more ledger classifications by:
inputting the ledger file into the trained ledger classification machine learning model; and
receiving the one or more segment trendlines as outputs from the trained ledger classification machine learning model; and
identify one or more trends in the ledger data, wherein identifying the one or more trends in the ledger data further comprises:
segmenting the ledger data into one or more trend segments based on the identified one or more trends
fitting one or more segment trendlines to each of the one or more trend segments, wherein fitting the one or more segment trendlines to each of the one or more trend segments further comprises:
receiving trendline training data correlating a plurality of trendline types with a plurality of segment types;
training a trendline fit machine learning model with the trendline training data; and
outputting the one or more segment trendlines by:
inputting the trend segments to the trained trendline fit machine learning model; and
receiving the one or more segment trendlines as outputs; and
generating at least one predictive trendline based on the segment trendlines.
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