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Litbuy AI Review Desk

Priya Raghavan

Research Editor, Pricing and Shipping Data

Landed-cost modelling, agent-fee structures, shipping rate sheets, customs thresholds, and comparison-table checks.

Autorenprofil
Priya Raghavan

Priya Raghavan builds the numbers behind each review: agent fees, consolidation weight, shipping quotes, customs thresholds and landed cost per item. The rate sheet is rebuilt from fresh quotes each quarter, and every comparison-table figure is double-checked. Each haul uses live quotes for at least three lines, excluding promotional discounts and including agent fees, domestic shipping, consolidation, international shipping and duties charged on delivery. Tables are rerun 48 hours before publication and on the day the article goes live, with figures moving by more than 5% flagged for a dated note.

6 Jahre in diesem Themenfeld

Schwerpunkte

  • Landed cost per item and per kilogram
  • Agent fee schedules and consolidation charges
  • Shipping line quotes, transit windows and insurance options
  • Customs duty and VAT thresholds for EU deliveries
  • Exchange-rate effects on quoted prices
  • Comparison-table methodology and figure verification

Werdegang

2017
Graduated in economics from Utrecht University
2018
Pricing analyst at a Rotterdam freight forwarder, quoting European parcel lanes
2021
Consumer research lead at a Dutch price comparison site
2022
Joined the Litbuy AI Review Desk as Research Editor
2024
Built the desk's quarterly shipping rate sheet and per-item landed-cost model

Qualifikationen

BSc Economics
Utrecht University 2017
Pricing Analytics Certificate
Netherlands Association of Data Analysts 2019
Consumer Research Methods Certificate
Amsterdam School of Communication Research 2021

So prüfe ich

Priya collects live quotes for at least three shipping lines per haul, removes promotional discounts, and calculates landed cost per item including agent fees, domestic shipping, consolidation, international shipping and any duty charged on delivery. Each table is rerun 48 hours before publication and again on the day the article goes live. Figures that move by more than 5% are flagged for a dated note.

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