Bank Statement Periodic Reconciliation

Cloud-based Long Term Equity Investment Platform using Machine Learning Algorithms to analyse & predict number of stocks for investment.

01

Business Problem

In large firms / company’s the major issues is bank reconciliation. It becomes a huge mess for this firms to match their balances in an entities accounting records. Keeping audit of this records & ensuring this cash records are causes impact on company’s / firms accounting which results in bounced cheque or over grafted fees.

02

Solution

Cloud based AI-ML Software

  • Used ML for identifying appropriate transition account by reading the description of transition in bank statement. User defined dashboards with graphs tables and reports for every financial year in one touch point.
  • Fiscal year reporting.
  • Reporting / Statistics.

03

Business ROI

  • Time-Saving : Using Predikly’s ML Tool tool the report was produced in 4-6 weeks, where in it used to take more than 8 months.
  • Increased Efficiency : Instead of a team of 15 people, the report could be built using a team of 2 people.
  • Increased Throughput : Ability to manage large accounting records in a shorter amount of time.

04

Tools and Technologies

  • Python

  • PostgreSQL

  • Mongo DB

  • AngularJs

  • HTML

  • CSS

  • Bootstrap

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"Definitely see use as part of the future maturity, increase in quality and measurement of project deliverables in the IT organization. A powerful way to explain the costs and time associated with project to make quantitative and qualitative decisions."

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Head of Development & Testing

Large Retail Co. UK

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