Prasanna Krishnan

Senior Pricing Manager at zooplus
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Contact Information
us****@****om
(386) 825-5501
Location
Munich, Bavaria, Germany, DE
Languages
  • Tamil Full professional proficiency
  • English Full professional proficiency

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Experience

    • Germany
    • Retail
    • 700 & Above Employee
    • Senior Pricing Manager
      • May 2022 - Present

      1) Designed an end-to-end strategy (ideation, coding, implementation, presentation, corrective actions) to come up with optimal price position for ~3000 products (test phase). Used various factors such as price elasticity, demand, margin rate and a few others to arrive at the final price point for each product. 2) Implemented 'Test - Control' methodology to assess the performance of pricing strategy. Since the test in ongoing, the complete business impact is not yet realised. As of today (3rd Jan '23), we are able to obtain 10% uplift in top line and 5% uplift in bottom line. 3) Experimenting on price architecture for Sibling products (products in the same line design). 4) Helping competitor pricing team to identify the most important products to be matched. Show less

    • United States
    • Information Technology & Services
    • 700 & Above Employee
    • Lead Consultant - Pricing Specialist
      • Aug 2021 - Apr 2022

      1) Created Pricing proposals for retail clients. Mainly focused on designing the end-to-end automated pricing engine. 2) Guided a 3 member team (Brazil) to establish the price relationships within the line design. 3) Worked as a product owner to develop Sales force application for a Thailand based retail org. 1) Created Pricing proposals for retail clients. Mainly focused on designing the end-to-end automated pricing engine. 2) Guided a 3 member team (Brazil) to establish the price relationships within the line design. 3) Worked as a product owner to develop Sales force application for a Thailand based retail org.

    • India
    • Retail
    • 700 & Above Employee
    • Senior Manager - Pricing Analytics
      • Oct 2020 - Jul 2021

      Handled a team of 10 members which solves all pricing related problems at Lowe's. We are trying to solve a wide range of problems in pricing space which include statistical modelling, developing a product, creating high visibility dashboards, etc. Key deliverable include the following.

    • Manager - Pricing Analytics
      • Oct 2019 - Sep 2020

      1) Handled an analytics team of 9 members and delivering the solutions to 5 business stakeholders– Majorly dealing with pricing decisions for both Stock (95% of business) and Online products (5% of business) by closely monitoring competitor’s price and movements.2) Responsible for almost more than 8 ad-hoc and medium to long term projects which include Elasticity modelling (8 advanced analytics techniques have been used), Price assessment, Store clustering, Price recommendation exercises, Competitor scorecard, Competitor reactivity, Competitor strategy identification, etc.3) I also handle Online Pricing analytics for Lowe's. I handled a team of 2 which solve problem in Online pricing domain. Show less

    • Lead Analyst
      • Apr 2018 - Sep 2019

      1) Handled a 5 member team. Measured the impact of price changes (with no test-control set up) through multiple assessment approaches.2) Various price test problems have been solved through a robust analytical approach which yielded more incremental margin dollars to the business.3) Collaborate with Merchandising and Finance team to measure the impact of various events and promotions.

    • Senior Analyst
      • Aug 2016 - Mar 2018

      1) Identified and increased price of products which have incremental margin opportunity through a robust analytical approach & diagnosed the impact to take corrective actions.2) Implemented the price recommendation through a test-control approach.Note - This project realized an incremental margin benefit of $50M to the organization (FY 2017 and FY 2018)3) Pitched the idea and designed a complete dashboard to identify the competitor's reactivity. This enabled the organization to take well informed pricing and promotional decisions. Show less

    • United States
    • Business Consulting and Services
    • 700 & Above Employee
    • Apprentice Leader
      • Jan 2016 - Jul 2016

      1) Designed anddeveloped a SAS process that automates claims processing for a leading pharmaceutical manufacturer. - This process minimized turn-around time from 2 days to 10 minutes and saved additional $300K/month.2) Handled a 5 member team and was responsible for mining and farming activities at an account level. - Well appreciated by the delivery head for effective process and team management.3) Customer analytics - Segmented and profiled customers based on the RFM model. Show less

    • Senior Business Analyst
      • Jan 2014 - Dec 2015

      1) Space Planning in retail domain - Identified the optimum number of bays through optimization techniques for each category in the pilot stores to maximize sales and profit. - Received spot award for quick turn-around and expanding scope through continuous conversation with the client. Handled a 2 member team.2) Assortment planning in retail domain - Identified KVI for all the SKUs in a retail organization and finding the life stage at which the product stands. This helped in Assortment optimization and product line review for retail merchants.3) Financial planning & assessment - Worked in a FP&A project where we identified the lift and impact of any events happening in the organization. Used various statistical techniques and chalked out the analytical plan for execution.4) Predicted close-to-truth market share of a leading e-cigarette brand by triangulating different data sources collected at various stages of the supply chain. - Well appreciated by the C-level executives for presenting results in the form of interactive info graphics. Handled a 3 member team. Show less

    • Business Analyst
      • Jul 2012 - Dec 2013

      1) Clustered and profiled markets for understanding the retail landscape to devise a discriminated pricing strategy for a leading home improvement retailer. - Adoption of this strategy yielded additional sales of $0.5 M. 2) Estimated price elasticity of the products using log-log regression model. - Built a scenario simulator on the basis of this model which was consumed all over the client organization to take product pricing decisions.

Education

  • PSG College of Technology
    Bachelor's degree, Production engineering (SW)
    2007 - 2012
  • The Higher Secondary School for Boys, Srirangam
    Higher secondary, Maths, Physics, Chemistry, Biology
    2005 - 2007
  • Vignesh Sri Renga Matric Higher Secondary school. Srirangam
    Class 10, Maths, Physics, Chemistry, Biolog
    2004 - 2005

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