PassBy

PassBy is a New York-based AI market intelligence platform focused on retail analytics, founded to provide real-world customer behavior insights.

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AI-powered retail analytics platform that tracks real customer movements and spending patterns to optimize store performance.

PassBy is a New York-based AI market intelligence platform focused on retail analytics, founded to provide real-world customer behavior insights. The company's core offering, Almanac, aggregates movement, spend, and behavioral data across retail locations to diagnose performance issues and optimize expansion strategies. PassBy integrates its intelligence layer into existing workflows through AI-powered retail agents and APIs, allowing teams to access insights directly within their decision-making tools.

While specific financials and headcount remain undisclosed, the company's integration with Microsoft Copilot suggests active adoption by enterprise retailers. PassBy differentiates by combining multi-source data hedging with AI interpretation, aiming to reduce reliance on lagging indicators like sales reports. The 2026 launch of its agentic interface reflects a strategic shift toward embedded intelligence over standalone dashboards, though this move risks alienating traditional analytics buyers.

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Who buys this

  • National retail chains expanding store networks
  • Commercial real estate firms assessing retail property value
  • CPG brands measuring in-store promotion effectiveness
  • Investment analysts tracking retail sector health

Strengths and what to watch

Strengths

  • Multi-source data hedging combines foot traffic, spend, and behavioral signals
  • Agentic interface reduces reliance on manual dashboard navigation
  • API-first design allows integration with existing retail management systems

Watch for

  • Dependence on third-party movement data providers creates potential single points of failure
  • Microsoft Copilot integration may dilute brand identity as an independent analytics provider
  • No disclosed enterprise clients despite claims of serving 'leading retailers'

Key Information

Founded
2023
Headquarters
New York

Frequently Asked Questions

What is PassBy's retail analytics platform?

PassBy is an AI-powered platform tracking real customer movements and spending patterns to optimize retail performance. Its Almanac system aggregates behavioral data across locations, helping retailers diagnose issues and plan expansions through integrated analytics and API-powered insights.

How does PassBy use AI for store analytics?

The platform combines multi-source data like foot traffic and purchases with AI interpretation, moving beyond traditional sales reports. Its 2026 agentic interface embeds insights directly into workflows, reducing manual dashboard reliance while hedging data across providers for accuracy.

Which businesses benefit from PassBy's technology?

National retail chains expanding locations, commercial real estate firms assessing property value, CPG brands measuring promotion impact, and investment analysts tracking sector health use PassBy to base decisions on real customer behavior rather than lagging indicators.

Does PassBy integrate with existing retail systems?

Yes, its API-first design connects with retail management tools, including Microsoft Copilot for enterprise workflows. This allows teams to access movement and spend insights without switching platforms, though deep Copilot integration risks diluting its standalone analytics identity.

What are PassBy's key competitive advantages?

The platform differentiates through multi-source data hedging combining physical movement with spending signals, AI-driven interpretation replacing static reports, and embedded intelligence via retail agents. However, undisclosed enterprise clients and third-party data dependencies remain potential limitations.

What risks should retailers consider with PassBy?

Potential single points of failure exist in third-party movement data providers, while Microsoft Copilot integration may reduce platform visibility. The shift toward agentic interfaces could also alienate traditional analytics buyers accustomed to standalone dashboards.

Sources

  1. passby.com — Product offerings and company positioning
  2. www.forbes.com — Market context on retail analytics adoption
  3. www.forbes.com — Industry background on customer behavior analysis
  4. lawreview.uchicago.edu — Regulatory environment for AI data products