The People Order

The People Order

thepeopleorder.com

human resources

Mumbai, Maharashtra, India
1-10 employees

Decision Makers at The People Order

1 contact

Samir Huda

Founder

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9 technologies detected · 1 decision maker · Emails available

Sales Outreach Angle

Python signals data science, ML, or automation workflows. Data platforms, MLOps tools, and cloud compute solutions are strong fits for outreach.

The People Order's Position in the StackWho Database

  • The People Order is 1 of 6,565 human resources companies tracked in StackWho.
  • 6,560 human resources companies in our database have verified decision-maker emails (100% of the cohort).
  • 3,673 companies in Maharashtra are in the StackWho database.
  • 4,098 human resources companies are in the 1-10 employee range (same size as The People Order).

Technology detection from public web signals. Decision-maker contacts compiled from LinkedIn public profiles, company filings, and verified outbound testing. Methodology & sources · Updated July 2026.

Frequently Asked Questions

What technology does The People Order use?

The People Order uses Gmail, Google Apps, AI, SAP, Sigma, Data Analytics, and 3 more technologies. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at The People Order?

StackWho has verified email addresses for 1 decision maker at The People Order. Pro members can access direct emails for the CEO, CTO, VP of Engineering, and other key contacts. Use StackWho to reach The People Order directly for sales, recruiting, or partnerships.

What industry is The People Order in?

The People Order operates in the human resources industry, headquartered in Mumbai, Maharashtra, India. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export The People Order's contact data?

Yes. StackWho Pro members can export decision maker contact data for The People Order and similar companies to CSV. Use the export feature to build targeted prospect lists segmented by technology stack, industry, or location.