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Case Study
Product Database Entry & Extraction
Product Database Extraction for Price Comparison, Analysis
“Product Database Extraction for Price Comparison, Analysis After Entries”
India’s leading manufacturing company was looking for a reliable partner to manage product pricing data in a market where prices fluctuate on and off, and product listings also needed matching. The project involved extracting, monitoring, matching, and comparing product information while cleansing. We identified duplicate listings and pricing variations by utilizing Python, Excel, machine learning, automation, and human verification methods to even out the product database, standardize records, and map prices accurately. This practice enabled CEAT to maintain dependable pricing data for better analysis and faster market response.
Challenges
An accurate product pricing database required continuous monitoring and systematic comparison consistently for the client. It was likely to help in evaluating price fluctuations and variations across listings. So, it was indeed an acid test, as we jumped across these hurdles using expertise:
- Managing frequent product price changes.
- Identifying duplicate product listings.
- Handling price variations across records.
- Matching products accurately for comparison.
- Keeping product pricing information current.
- Maintaining consistency across large datasets.
- Delivering accurate results within the required turnaround time.
Solutions Provided
Our specialised team tailored and then quickly implemented automated and quality-focused data entry, data extraction & cleansing workflows. These processes helped to balance the product database and map pricing information accurately later. The solutions included these steps:
- Extracting and monitoring product pricing data.
- Mapping prices against relevant product records.
- Applying product matching techniques for accurate comparison.
- Identifying and removing duplicate listings.
- Normalizing inconsistent product information (short forms).
- Standardizing product and pricing attributes.
- Using machine learning and automation for repetitive processes.
- Conducting human-driven data audits for final validation.
- Processing and delivering 42K+ records within the agreed TAT.
Process Used
The planning for the tailored workflow for continuous monitoring, product matching, price monitoring, and multi-stage quality analysis was done prior. We simply executed the plan to maintain reliable and comparable product pricing records through these subsets:
- Product and pricing data extraction.
- Automated price monitoring.
- Product matching and mapping.
- Duplicate identification and deduplication.
- Data normalization.
- Product and price standardization.
- Machine learning-assisted processing.
- Human-led QA verification.
- Final accuracy checks and timely delivery.
Result
The data entry & extraction project had everything reliable and up-to-date regarding pricing as we aligned automation and machine learning for structured data cleansing and processing with human-led quality assurance:
- 42K+ product records successfully extracted.
- 99% accuracy achieved across processed data.
- Duplicate listings identified and removed.
- Product records accurately matched for comparison.
- Pricing variations monitored and mapped.
- Product data normalized for consistency.
- Standardized records supported reliable comparison.
- Human QA checks strengthened data accuracy.
- On-time TAT supported ongoing business operations.
- Better pricing data enabled faster market response and improved decision-making.
Benefits Client Get
Incredibility is what we sought after delivering value additions. We integrated such platforms and ideas that made this online loyalty application phenomenal. We stuck to ‘no interruption during the web experience’ when we were busy creating it. The speed, responsiveness, and form integrations eventually made it a bundle of advantages for both, customers and us, because:
- Retailers & electricians got remotely located clients.
- Reporting created crystal clear image of prospects.
- Customized report helped to get insight.
Presenting Performance with Facts
Figures to Measure the Accelerating Rate of Improvement
42
K+Data Processed
0
%Accuracy
0:1
AI+Human
0
%OTIF Delivery
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Eminenture-The globally acclaimed most trusted BPM company
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