Lack of seller trust addressed by UX research and backend development at Walmart
Previously, I advised Fortune 500 companies on making data informed decisions by providing location intelligence tailored to their customers’ needs. Recommended pricing tiers appropriate for target markets.
Before that, I worked as Head of Product at the leading Ukrainian chemicals manufacturer with $50MM annual revenue. I managed and implemented technology stack for Sales & Marketing to distribute >1000 daily leads, qualify >500 weekly inbound calls, and facilitate $12.4MM in quarterly billing resulting in increased efficiency of ~150 field sales representatives.
Prior to Ukravit, I led engagements as Product Strategy Manager at DuPont. I worked cross-functionally with Finance, Operations, Engineering, Product, Marketing and Sales to design and segment new revenue generating model, overhaul pricing, and revamp reporting as number of customers increased to >10K.
As a side project I founded a virtual startup – a FinTech platform to tap into $20BN developing Ag market. Hired and led 7 professionals to build MVP and retain subscription.
About expert
A Decision Maker at Walmart Labs.
Vlad applied their knowledge of Product management in E-Commerce on the following markets: China, South America and The USA.
Vlad built products like Marketplace using the variety of tools.
Similar cases
Setting up efficient customer support
Organized pre-launch product UX testing, regular users research and new features backlog prioritization
Organized the company's participation in high-profile contests, resulting in Nimb becoming a winner of Smart City Expo worldwide Congress’s call for solution in the “Safe Cities” category and a finalist of Xprize Women’s Safety competition
Set up efficient client support
![](https://askapro.blob.core.windows.net/users/f833a2ff-00d6-4305-be7c-57d1f50fbd78_mini.jpeg)
Enhancing Analytical Infrastructure and Reducing Fraudulent Activities
Led the shift of analytical infrastructure, enhancing data resources and decreasing update errors by 90%. Increased identifiable traffic sources from 60% to 95%. Played a crucial role in reducing fraudulent responses from 28% to 1-4% by strengthening moderation and creating a fraud analytics direction. Contributed to a project reducing the cost of applications from groups by 70% and reducing vacancies in central Moscow from 20% to 6%.
![](https://askapro.blob.core.windows.net/users/097e2c89-d48a-4b5b-8be1-8994c524b3d0_mini.jpeg)