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DL-005 · Case study

Monitoring tool for Amazon algorithm research

University of Bologna researchers studied Amazon's pricing algorithms. We built a Buy Box monitoring and repricing tool that gathered data on millions of products and sellers.

Client
University of Bologna
Location
Italy
Industry
Research Center
Capabilities
03Build
01

Challenge

  • Study the theoretical complexity of Amazon's pricing algorithms.
  • Assess their potential effects on marketplace competitiveness.
  • Researchers needed data at a scale no manual process could collect.
02

Environment

  • University research team studying Amazon's Buy Box and pricing.
  • Data on millions of products and sellers, plus SP-API price and offer data.
  • Researchers needed control over which ASINs were tracked.
03

Intervention

  • Collector for product and seller data from the Amazon marketplace.
  • SP-API connection to pull prices and competitor offers for accuracy.
  • Repricing logic analysing stored data to adjust prices for the Buy Box.
  • ASIN dashboard to switch tracking on, off or add new ASINs.
04

Outcome

  • Information on 2 million products and sellers gathered for analysis.
  • Results stored in PostgreSQL and viewable in a custom admin panel.
Marketplace product and seller data and SP-API price and offer data land in PostgreSQL, where analysis and repricing logic run; researchers manage ASINs in a dashboard and review results in an admin panel.ASIN listMARKETPLACEProduct / seller pagesSP-APIPrices / offersCOLLECTORProduct dataANALYSISPostgreSQL / repricingASIN DASHBOARDOn / off / addADMIN PANELResearch results
  1. 01MARKETPLACEProduct / seller pagesCOLLECTORProduct data
  2. 02COLLECTORProduct dataANALYSISPostgreSQL / repricing
  3. 03SP-APIPrices / offersANALYSISPostgreSQL / repricing
  4. 04ANALYSISPostgreSQL / repricingADMIN PANELResearch results
  5. 05ASIN DASHBOARDOn / off / addCOLLECTORProduct dataASIN list
Fig. 06Research data pipelineMarketplace product and seller data and SP-API price and offer data land in PostgreSQL, where analysis and repricing logic run; researchers manage ASINs in a dashboard and review results in an admin panel.Scale NTS

Results, as published.

2 million
Products' and sellers' information gathered
15
Amazon SP-API data points used
2
Years of working together

Client notes.

Client notes · DL-005University of Bologna
The solution took our Amazon research work to another level. Their flexibility and professionalism unfailingly meet our timelines, needs, and budget.
SignedDr. Max SchäferAssistant Professor, University of Bologna

Stack and services.

Stack04

  • Amazon SP-API
  • PostgreSQL
  • Web application (ASIN dashboard)
  • Admin panel

Services used02

Tell us what has to work.

A senior engineer reads every brief. Describe the system, what it runs on today and what happens when it fails.

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