Skip to content
Case study · E-Commerce SaaS

FBA Mastery had its NeuroPrice team in 4 days

Peter Valley had the plan for NeuroPrice, an AI repricer for Amazon sellers, and no team to build it. Hiring agencies kept missing the brief, so we ran the search ourselves and the team was in place in 4 days.

  • E-commerce
  • Amazon Pricing
  • AI Repricing
NeuroPrice's AI repricing tool for Amazon sellers
NeuroPrice's AI repricing tool for Amazon sellers
4x Faster Development
6 Months to Build
20% Cost Savings
3 Years of Engagement
The Challenge

A niche brief that agencies kept missing

  • Amazon domain knowledge
  • AI engineering skills
  • Agencies missing the brief
  • No team to start with

Pricing on Amazon moves constantly, with millions of sellers competing on the same listings. Staying profitable means adjusting prices continuously, which is slow, data heavy and easy to get wrong by hand.

Peter Valley's answer was NeuroPrice: an AI repricing tool that reads large data sets instantly and adjusts prices automatically to stay competitive.

Building it needed engineers with two things at once, AI experience and a working knowledge of Amazon's pricing ecosystem. The hiring agencies Peter had used could not produce them.

How We Did It

The NeuroPrice team in place in 4 days

Peter had already been through agencies that could not fill this brief. We took both of its requirements, AI engineering and Amazon's pricing ecosystem, and searched against them together rather than one at a time.

  1. 1

    Team assembled in 4 days

    We put the NeuroPrice team together within 4 days, so FBA Mastery skipped the usual hiring delay and the build ran 4x faster than the original timeline.

  2. 2

    Screened on both halves of the brief

    Every engineer we sent had to have AI experience and be able to work inside Amazon's pricing rules. That combination is what the earlier agencies could not produce.

  3. 3

    Three years of hiring

    Peter kept hiring through us after the first build. Shivam Mathur, Ekansh Gayakwad and Abhishek Aligh extended NeuroPrice across a 3 year engagement, with a 20% saving on build cost.

In Their Words

Shivam was able to solve the biggest issue and confirm it was caused by coding errors and not any new changes at Amazon. That brought new life back to the project and I'm very pleased with that.

Because of Flexiple, I was unburdened and relieved of a tremendous amount of stress that as a founder I didn't even know I could be relieved of.

Peter Valley

Founder, FBA Mastery

Who We Placed
  • Shivam Mathur

    Shivam Mathur

    Full Stack Developer

  • EG

    Ekansh Gayakwad

    Senior Engineer

  • AA

    Abhishek Aligh

    Full Stack Developer

The Impact

NeuroPrice shipped in 6 months, 4x faster

NeuroPrice's AI pricing engine removed the manual grind of finding the line between staying competitive and staying profitable, and Amazon sellers stopped repricing by hand.

It was built in 6 months, 4x faster than the original timeline, which put Peter into the Amazon seller tools market ahead of comparable repricers.

The engagement ran 3 years. Peter hired further engineers through us across it, and NeuroPrice kept gaining capability after the first release.