KPMG Sales and Distribution Leakage Detector

KPMG Sales and Distribution Leakage Detector is a proprietary tool that uses algorithms and advanced machine learning model to identify anomalies
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KPMG Sales and Distribution Leakage Detector is a proprietary tool that uses algorithms and advanced machine learning model to identify anomalies in sales and sales-led initiatives, such as indicators of fictitious outlets/customers and secondary sales, miscommunication/manipulation of secondary schemes, among others.

Need for the tool

Organisations spend substantially on marketing and distribution activities to enhance their sales, have a wider geographical reach, spread their credit risk and create brand awareness of their products. The high rewards provided to sustain growth and increase sales are often accompanied by high risks that need to be monitored on an ongoing basis. It is pertinent for organisations to take necessary steps to minimise leakages in their systems caused due to such risks, as these significantly impact the working capital and result in operational and reputational losses to organisations.

Sales and distribution spends are prone to leakages primarily due to:

  1. Vulnerabilities in various systems, such as Distribution Management System (DMS), Sales Force Automation (SFA), ERP system and merchandising portal, implemented by organisations
  2. Involvement of multiple third parties in the sales and distribution process
  3. Large volume of transactions may have relatively less value individually, but substantial impact, when aggregated.
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How can the tool help?

Tool's capabilities and features

Automated rule-based

data analytics on sales and distribution spends to identify red flag and dashboarding of outliers in graphical from.

Advanced capabilities viz

web crawling, web-scrapping to validate address, geo-location and statutory details based on the data gathered from public domain.

Advanced image verification algorithm

to identify morphed or duplicate images submitted for various sales and distribution schemes.

Automated Early Warning Systems (EWS)

to identify issues on an on-going basis and use of Machine Learning to analyse data on anear real time basis. 

Automated feedback calls and chat bots

to obtain confirmation about retailers' existence and sales and receipt of benefits by them.

For more details, download our brochure

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KPMG Sales and Distribution Leakage Detector

Data analytics tool to identify anomalies in sales and sales led initiatives

Key Contact

Suveer Khanna

Partner and Head, Forensic Services

KPMG in India

Mustafa Surka

Partner, Forensic Services, Risk Advisory Consumer Markets & Retail Leader

KPMG in India

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