Data Processing for Logistics Company

Accurate processing and analysis of price data leads to winning price strategy

Project Overview

Business Needs

The price sheet data processing project required preparing customized rate charts in RFP/RFQ template files to be shared with the client’s customers. This would equip marketing teams with an effective price intelligence strategy to service a global clientele through high quality express delivery services.

The Challenges

  • Skilled resources who could understand the terminologies of courier delivery services and process complex logistics data
  • Multilingual capabilities to address data from across the world
  • High precision and eye for detail

Solutions and Results

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  • A dedicated team of 15+ skilled data entry and data processing professionals was set up to map and validate standardized rate data against individual country rate sheets, zoning code, specific services etc.
  • Data was extracted from key fields, mapped and validated against fuel surcharge, dry ice surcharge, individual discounts etc.  for 100+countries
  • Rates were validated and bifurcated by weight and services keeping in line with different zones and regions and added to the template provided
  • Skilled researchers scouted for appropriate rate at origin country rate sheets and checked for zoning code for the destination country
  • Connecting with client representatives over a Webex or a phone call or researching the web for further clarification, validation and authentication
  • Multi-level quality checks used to ensure, rate sheets matched with services, weight and zoning for destination countries
  • Completed RFP/RFQ was shared with client through email

Business Impact

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Business Data Challenges

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