Computer Vision in Retail:
7 Use Cases with Measurable Business Impact
Computer Vision in Retail:
7 Use Cases with Measurable Business Impact
We will review the most effective market use cases, analyse common mistakes and risks, and outline efficient implementation options for AI initiatives.
We will review the most effective market use cases, analyse common mistakes and risks, and outline efficient implementation options for AI initiatives.
Free Webinar: Use-Case AI Briefing
What You Will Learn
- 7 retail use cases that delivered ROI, including the conditions under which they make sense to implement
- How planning an AI initiative differs from planning other business initiatives
- Cost and timeline scenarios to improve the accuracy of ROI forecasting
March 31
19:00 GMT+2
60 minutes
English
Webinar Agenda
Webinar Agenda
Who Should Attend
Who Should Attend
CEO / COO / CFO / CTO
Owners
Head of Ops / Retail / Loss Prevention / Analytics
This Webinar Is for You If
This Webinar Is for You If
If the following applies to your company, attend this event:
Costs are increasing, but there is limited visibility into the measurable impact of AI initiatives.
You have AI initiative ideas but are concerned they may not deliver the expected results.
Your competitors are already using AI, and you find it difficult to choose which 1-2 initiatives would be the most effective for you.
What We Will Cover
What We Will Cover
01
7 Practical Computer Vision Use Cases in Retail
02
Key Prerequisites for Successful AI Implementation
03
Cost Drivers and Total Cost of Ownership
04
Risks and Common Pitfalls
05
Rapid Hypothesis Testing (2–4 Weeks)
06
Build vs Buy: Making the Right Strategic Choice
3 of the 7 Use Cases We Will Cover:
3 of the 7 Use Cases We Will Cover:
On-shelf availability / OOS detection
Automatic detection of empty shelves and out-of-stock situations in real time.
Loss prevention / shrink reduction
Risk zone monitoring, self-checkout monitoring, and shrinkage reduction.
Queue & staffing optimization
Optimization of queues and staff allocation based on real-time traffic data.
Structure of Each Case Review:
Structure of Each Case Review:
1
Сhallenge
2
Solution
3
Outcome
4
Pros and Cons
Experience and Expertise
Experience and Expertise
Who Should Attend
Who Should Attend
Fashion
Beauty
Jewellery
Logistics
Warehouse
Operations
Instore Experience
Speaker
Mike Neuenschwander
Mike Neuenschwander
Executive Director, North America
Executive Director, North America
- 25+ years of Experience in Tech Industry
- Former Sr Director at Oracle
- Advisor on AI adoption and digital transformation
What’s in it for you? Register to find out more
What’s in it for you? Register to find out more
Webinar attendees will additionally receive:
Webinar attendees will additionally receive:
Webinar recording
CV ROI Calculator
AI Readiness Evaluation Framework