PHYGITAL RETAIL LAB
HONOR Outdoor Digital Experience Center
A real showroom testing one connected customer journey: AI-assisted selection, physical fitting, QR, a digital basket, online checkout, CRM, and continued communication after the visit.
Marina Ra · Public Lab · Central Asia
A public laboratory where AI hypotheses are tested with real customers, business processes, and financial outcomes.
Current research field
01 / WHY
Companies launch assistants and automation, yet often cannot answer which customer problem AI solves, which metric should change, or whether the solution deserves to scale after the pilot.
We do not start with technology. We start where a customer or a business loses time, money, trust, or an opportunity to grow.
02 / LIVING LABS
We bring experts and business teams together in environments where people already choose, buy, travel, participate, and return.
PHYGITAL RETAIL LAB
A real showroom testing one connected customer journey: AI-assisted selection, physical fitting, QR, a digital basket, online checkout, CRM, and continued communication after the visit.
03 / METHOD
Where does the customer or business lose value?
Journey, data, constraints, and baseline metrics.
What does AI do, and what remains human?
The smallest solution capable of testing behavior.
Work with real customers and business processes.
Compare the outcome with the baseline.
A playbook to improve, stop, or scale the solution.
Let’s define the hypothesis and the first measurable pilot.
Discuss a project →An experiment succeeds not when the AI works, but when a customer or financial outcome changes.
04 / EXPERIMENTS
Can a conversation about weather, activity, and context shorten the path to the right outfit?
Can digital checkout free the consultant to help the customer while preserving trust?
Which answer types build trust, deepen content engagement, and inspire people to continue the journey?
Can routes, rewards, and visible progress turn a single visit into long-term participation?
Which scenarios create measurable economic impact instead of an impressive demonstration?
Describe the business problem. A technical specification is not required at the first stage.
Message me →05 / PUBLIC BY DESIGN
A public laboratory means transparent questions, methods, and conclusions — not open access to company data.
06 / EXPERT × BUSINESS

Bring a real business or customer challenge and find a measurable path to a pilot.
Message me →
Choose a challenge where your experience can shape the hypothesis, pilot, and result review.
Message me →
Join the conversation around Lab Notes, open questions, evidence, and public debriefs.
Message me →07 / FOUNDER
Founder, Marina Ra Public Lab · Human × AI × Business

I am building this laboratory on hands-on experience in growth, GTM, sales, analytics, and operational transformation.
I have worked across retail, SaaS, FMCG, banking, pharma, logistics, and technology projects in Kazakhstan and Uzbekistan.
My role is to connect AI with real business constraints and turn experiments into a repeatable growth system.
08 / AI IN CENTRAL ASIA
I work with companies in Kazakhstan and Central Asia to move from AI interest to a measurable operating result—through customer evidence, workflow redesign and controlled field experiments.
We diagnose the customer, data, process and organizational conditions that determine whether an AI use case can create value.
We select one high-value hypothesis, define a baseline and KPI, test the Human × AI workflow and make a Scale / Iterate / Stop decision.
We connect AI to a real customer mission, adoption mechanism, commercial metric and go-to-market plan.
QUESTIONS LEADERS ASK
Start with a business constraint or customer problem, not a tool. Define the baseline, the Human × AI workflow, the expected mechanism and one primary business metric before selecting technology.
Readiness shows whether the organization has the data, process, skills and governance to act. Value is the measurable change in customer, operational or financial outcomes after an intervention.
Yes. A bounded 90-day pilot is often the best start when it has a clear owner, baseline, control or comparison, primary metric, guardrails and a predefined Scale / Iterate / Stop decision.
We publish methods, experiment design, lessons and non-confidential evidence. Company data, personal data and commercial secrets remain private.
09 / OPEN CALL
Describe the problem and the outcome you want to change. Your brief will open as a ready-to-send WhatsApp message to me.
FROM AI HYPOTHESIS
