providentia-tech-ai

Handling the Challenge of
Automation with Data Analytics

handling-the-challenge-of-automation-with-data-analytics
using-robotic-process-automation-for-financial-forecasting

Using robotic process automation for financial forecasting

Overview

Our client operates in FMCG sector delivering its products across India since 2012. They specialise in milk, fruits and vegetables, soda, chocolates, and ketchup.

Challenges

Our client witnessed a major challenge in terms of finance functions ranging from revenue forecasting to auditing functions. They used manual processes of exchanging data which are tiresome and erroneous.

Our client was dealing with day-to-day transaction that are generally large in number and was facing the urgently required sampling for validation. The client was wanting a solution to predict high risk deals through measurable preventive means.

Solutions

Providentia understood the pain points of the clients and our efficient team tried to align their services with the demand and needs of the company.

Providentia’s team created machine learning based models to predict the fluctuating patterns and forecast accordingly. We applied search engine meta data to adapt the forecasts of latest information. It helped our clients to forecasts risks successfully and chalk out the necessary strategy for avoiding them. Automation allows functions like reporting and analytics to be at the fingertips of the key leaders and help them to operate efficiently.

The automation process avoided all sorts of manual errors and reduced the workloads of key managers so that they could devote their time to other matters of concerns. It optimises the process of decision making and do away with delays.

Impact

Our client was satisfied with the hands-on automation process boosting the company’s decision-making and helping them to predict accurately.

Increase in transparency of operations by

51%

Full time equivalent coverage dropped by

38%

Increase in accuracy by

49%

Improvement in overall business efficiency by

47%

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