Tictag Insight: The Only AI Agent in Retail Analytics

Q: What is Tictag Insight?
A: Tictag Insight is an AI-powered retail analytics platform that transforms in-store video and sensor data into actionable insights. It helps retailers optimise store layouts, boost conversions, and uncover hidden revenue opportunities.

Q: Who is Tictag?
A: Tictag is a leading provider of AI and computer vision solutions for retail. With over 6 years of experience in in-store data accuracy, Tictag delivers reliable insights to help retailers make data-driven decisions and maximise revenue.

Q: How does AI optimise retail layouts?
A: Tictag Insight’s AI models analyse customer movement, staff-customer engagement, and product interaction to identify high-conversion zones and underperforming areas. By understanding how shoppers interact with the store, retailers can adjust layouts, product placement, and staff allocation to increase sales and improve customer experience.

Q: Why is data accuracy important for AI?
A: Accurate AI insights depend on high-quality data. Tictag has achieved 99% accuracy in in-store data collection, ensuring that every recommendation is reliable and actionable.

1. IoT Gateway Setup – We install a small IoT gateway next to your router to securely stream video to the Tictag AI Cloud.
2. Discovery Workshop – Together, we review your floor plan to identify key zones and products to be monitored.
3. Configuration & Dashboards – Tictag configures the system and recommends the most relevant charts and insights for your store.

Q: How long does full implementation usually take?
 A: Deployment typically takes 2–4 weeks per site, depending on the number of cameras and zones. Multi-site rollouts can be phased for efficiency.

Q: How do I get started with Tictag Insight?
A: The easiest way to begin is by sending us sample recordings from your existing cameras. We typically request 2 weeks of video data to capture a realistic range of conditions (different times of day, weekdays vs weekends, peak vs off-peak).

Q: Why 2 weeks of data?
A: This duration helps us analyse patterns, validate accuracy against your KPIs, and ensure the models are tuned to your environment. Shorter samples often miss key variations in behaviour.

Q: How do I send the data?
A: You can transfer recordings via a secure, encrypted cloud folder or any client-approved method. If you prefer, we can also support direct access to your storage for evaluation.

Q: What happens after I send the data?
A: Our team runs the footage through our AI models, generates a demo dashboard tailored to your use case, and shares initial insights for review. This helps you see value quickly before committing to a larger rollout.

Q: What post-deployment support do you provide?
A: We provide two tiers of technical support to keep your AI models performing optimally:

• Level 1 (L1) Support handles initial issue identification, quick troubleshooting, and basic remote or onsite support without code changes.

• Level 2 (L2) Support steps in for complex issues requiring deeper technical expertise, advanced troubleshooting, and onsite interventions, focusing on configuration and performance without altering code.

Q: What are your response and resolution timelines?
A: We adhere to agreed service level agreements ensuring prompt response and resolution times tailored to issue severity.

Q: What technical skills does your team have?
A: Our experts are proficient in AI deployment tools (TensorFlow Serving, ONNX, Docker), cloud platforms, monitoring tools, hardware optimisation, networking, security, and programming in Python and AI libraries.

Q: What tools do you use for support?
A: Remote access tools, monitoring dashboards, ticketing systems, and multiple communication channels enable efficient problem resolution and clear updates.

Q: What are my responsibilities as a client?
A: Provide system access, report issues promptly, and facilitate onsite support when necessary to help us deliver timely solutions.

Q: How does Tictag Insight protect user privacy?
A: Tictag Insight safeguards privacy at every stage, from data collection to processing, ensuring all practices comply with GDPR and PDPA regulations while following strict data minimisation principles.

Q: What privacy regulations does Tictag Insight comply with?
A: We fully comply with GDPR and PDPA, basing our video analytics on legitimate interest, and use clear signage and privacy notices to maintain transparency.

Q: How does Tictag Insight implement data minimisation?
A: Raw video data is automatically deleted within 7 to 30 days, retaining only the information necessary to provide actionable insights.

Q: Does Tictag Insight use facial recognition?
A: No. We never identify or store individual faces. Tracking uses pseudonymised, temporary markers that are non-identifiable.

Q: What safeguards are in place for human review?
A: All human reviews use pre-blurred video, with reviewers bound by strict NDAs and limited access protocols to ensure privacy and security.

Q: How does Tictag Insight handle scaling and updates?
A: Tictag Insight is cloud-based, allowing you to instantly roll out new AI features and scale across multiple sites or regions without manual upgrades.

Q: Can I manage performance across multiple stores?
A: Yes, you get centralised insights across all your stores, enabling easy comparison and optimisation from one platform.

Q: Do I need hardware upgrades?
A: Camera data is processed in the cloud, with optional hardware upgrades available to enhance accuracy and capabilities as needed.