SerendibAI
Zone TwentyFourSeven (Pvt) Ltd · Intelligence & Research
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 7 captures on record
What the publisher says
As described on Microsoft Marketplace.
By integrating cutting edge Machine Learning ( ML ) with data science, the SerendibAI platform helps to convert real-world events into actionable insights. Through this platform, organizations are able to make data-driven decisions to optimize store environments to achieve business goals.
SerendibAI enables physical store insight generation at a level of detail that is equivalent to a web analytics platform generating analytics to an e-commerce portal. This allows organizations to optimize physical stores using data rather than intuition and measure success levels of initiatives in a manner that was not possible previously. The level of granular insights on customer segments and customer behavior is unparalleled.
Show the rest of the publisher’s description (18 more lines)
- Traffic Counting
- Real-time traffic detection of people walking into a store or building.
- Demographic Detection
- Specialized algorithms are able to detect demographic details and segment people into customer segments such as Millennials Gen X, Gen Z, etc.
- Fixture Dwell Time
- Accurately measure customer time spent browsing at fixtures to give organization data on fixture engagement levels and measure the success of products on display.
- Fixture Interaction
- Identifies when customers stop and interact with products on fixtures.
- Impression Count
- Can accurately track gaze and identify impressions on a particular fixture which can be a retail fixture, display case or any general product display platform.
- Line Monitoring
- Tracking in-store lines and alerting staff members of particular changes to lines.
- Continuously monitors all in-store lines and provides real-time alerts based on set variables such as line length etc.
- Using data to predict wait time in order to provide useful information to the customers in real-time.
- Line Prediction
- The platform is able to predict how many checkout registers should be open at a given time frame to optimally cater to the checkout traffic.
- The system analyzes Traffic counts, Occupancy levels, and Customer dwell times to forecast and provide guidance on the expected traffic in checkout areas.
- The system can be used to effectively manage register operations to minimize line creation events and reduce line wait times.
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
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7 linksLinked repositories
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