Automated Sales Auditing

Saving $1M through Intelligent Transaction Monitoring

Streamlining Retail Dealer Operations with AI-Driven Auditing and Insights

Goal

Improve transaction accuracy & fraud detection, and provide actionable insights for retail mobile phone dealers.

Solution

Platform aggregating data, enhancing quality, AI engine flagging discrepancies, frauds, refunds & chargebacks. Enabled flagging, tracking, and action.

Result

Saved client over $1 million, detected intentional and unintentional losses & reduced fraud detection time to 4 days.

A retailer’s Dilemma of Unlocking Data Potential in Wireless Retail

In the US, many retail dealers operate under various wireless carriers to drive device and service sales. These dealers sell using tools offered by the carrier and some third-party tools. Sprint was one such carrier whose dealers faced challenges due to underutilized data and recurring issues of chargebacks, lease frauds, and transactional discrepancies.

Navigating Transaction Complexities in Wireless Retail

Improving transaction processing in terms of time and accuracy

Flagging transactions with potential fraud or discrepancies

Making the analysis actionable for decision-making and recording

Providing holistic access to transactions across the organization

A 72-Hour Miracle- Transforming the Operations with AI-Driven Auditing

Created a robust data engineering pipeline using RPA and Python scripts to fetch data from multiple sources and ingest it into a data warehouse.

Built data transformers to parse and process data for proper conversion between changing formats.

Implemented a rule-based AI (GOFAI) engine to flag discrepancies, frauds, and assess refunds and chargebacks.

Developed a platform for auditors, management, and employees to track the transaction vetting process and actions taken based on insights.

Implemented email bounce analysis and robocalling to verify fraudulent transactions.

Created a robust data engineering pipeline using RPA and Python scripts to fetch data from multiple sources and ingest it into a data warehouse.

Built data transformers to parse and process data for proper conversion between changing formats.

Implemented a rule-based AI (GOFAI) engine to flag discrepancies, frauds, and assess refunds and chargebacks.

Developed a platform for auditors, management, and employees to track the transaction vetting process and actions taken based on insights.

Implemented email bounce analysis and robocalling to verify fraudulent transactions.

Comprehensive Auditing & Actionable Insights Driving $1M in Savings

Data aggregation from multiple sources

Data quality enhancement with missing data handling

Robust process to handle changing requirements

Accurate commission reconciliation

Actionable insights and tracking for remedial actions

Measurable Results and Impact

Achieved client cost savings exceeding $1 million within 1.5 years

Enabled detection of both intentional and unintentional losses by employees

Reduced fraud and discrepancy detection time from 4 weeks to 72 hours

Key Achievements

Developed a robust data engineering pipeline and AI-powered auditing platform

Integrated multiple data sources and handled changing data formats

Provided actionable insights and enabled tracking of remedial actions

Achieved significant cost savings and reduced fraud detection time

Conclusion

Through our AI-driven sales auditing and transaction monitoring platform, we empowered retail dealers to streamline their operations, improve transaction processing accuracy, and detect frauds and discrepancies efficiently. The platform’s ability to aggregate data, enhance data quality, and generate actionable insights led to substantial cost savings, reduced fraud detection time, and improved overall operational efficiency.

next post: OCR to Digitize Document Data Extraction

Saving $1M through Intelligent Transaction Monitoring

Goal

Solution

Result

A retailer’s Dilemma of Unlocking Data Potential in Wireless Retail

Navigating Transaction Complexities in Wireless Retail

A 72-Hour Miracle- Transforming the Operations with AI-Driven Auditing

Comprehensive Auditing & Actionable Insights Driving $1M in Savings

Measurable Results and Impact

Key Achievements

Conclusion

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