Maximizing payroll efficiency and accuracy

Overview

Our Client

Our client is a leading Indian e-commerce player with a high-volume and diverse workforce.

“Besides streamlining and overhauling our payroll operations, AscentHR’s payroll engine is helpful in tracking KPIs such as salary competitiveness ratio, workforce costs, employee retention, attrition, and separation rates.”

Challenges

The client was struggling with the challenges of collating, reviewing, and processing their payroll data.

  • Difficulty in streamlining and executing the payroll data input process seamlessly as the process spanned across disparate locations, functions, and verticals.
  • The existing payroll data input process had a potential risk of fraud, errors, and duplication of inputs.
  • The payroll process was also running the risk of delay as the input data couldn’t be secured consistently before the cut-off dates were frozen and closed.
  • These risk factors due to structural inefficiencies were leading to overall operational inefficiency.

Solutions

Outcomes

The outcomes from the engagement were:

  • Streamlined payroll process: Data-capturing was upgraded from the old Excel-based format to automated data uploads that eliminated manual intervention.
  • Highly-secured workflow: HR was empowered with an additional layer of approval and checks enabling them to review inputs before payroll processing. This eliminated the risk of fraud, errors, and duplication of inputs.
  • Timely payroll inputs: As the new payroll process had built-in timeliness and enabled high-quality data collection, the risk of payroll delays was eliminated. Latent delays due to the introduction of fixed cut-off dates were remedied by batch processing.
  • Enhanced operational efficiency: Built-in quality checks led to reduced man hours and enhanced operational efficiency.

Conclusion

AscentHR’s solution helped the e-commerce pioneer streamline their payroll processes, cut costs, boost productivity, implement checks and balances, and translate reams of raw data into lucid, highly interpretive, verified data.