Client: Spencer’s
Compliance analysis at Retail
Case study details
Spencer’s is a North American mall retailer with over 600 stores in the United States and Canada. Their stores offer gag gifts, clothing, band merchandise, sex toys, room decor, collectible figures, fashion and body jewelry, and fantasy and horror items.
Spencer’s, an American retail company, was struggling with overloading with manual processes while shelves auditing. The company decided to invest in smart solutions to take off this burden from the in-store managers. Read how AI-driven solutions benefited the general in-store sales of this brand.
Retail store audits typically require hours of repetitive processes, engaging field surveyors or in-store managers. They have to check if all goods are displayed according to the given planogram, if the price and product compliance is set correctly, if the shelves have mandatory SKUs, etc.
Spencer’s C-level managers were looking for a solution to reduce these efforts and make the whole process more objective, prone to error and corruption, and less time-consuming.
Using computer vision, Addepto Data Engineers have created models to detect products, location in-store, and their signing and compare them with requirements stored in a database.
The implemented AI-based solution makes the whole store audits process more objective as it no longer relies on human observation alone. This capability is served in a simple web UI that can be used by the field managers opening their stores and the managers viewing the results.
- Store signing compliance analysis
- User-friendly visualizations
- Mobile-friendly web app
Building and implementing AI-based solutions for signing compliance and shelf analysis.
Store signing compliance analysis system design built by Addepto specialists enabled Spencer’s managers to reduce the time needed to conduct retail audits and cut the company’s operating costs.
- Store signing compliance analysis
Reducing manual labor while performing shelf analysis
Retail store audits typically require hours of repetitive processes, engaging field surveyors or in-store managers.
They have to check – one by one – if all goods are displayed according to the given planogram, if the price and product compliance is properly set, and if the shelves have mandatory SKUs, and so on. The amount of data needed to be collected was huge and even small mistakes could cause sales decrement, not to mention that audit processes dragged off the salesmen from what they were accountable for, which is sales.
AI-based solution able to reduce the efforts required to conduct shelf analytics
When Spencer’s C-level managers realized that there are intelligent solutions able to reduce the efforts required to conduct shelf analytics while decreasing their prone to errors, they had no second thoughts about the legitimacy of implementing it. The open question was only about the right partner able to do that in the most effective way.
Addepto turned out to be Spencer’s go-to direction.
Implementing a computer vision solution
Using computer vision, Addepto Data Engineers have created models to detect products, location in-store, and their signing and compare them with requirements stored in a database.
The implemented solution makes the whole store audits process more objective as it no longer relies on human observation. This capability is served in a simple web UI that can be used by the field managers opening their stores and the managers to view the results.
During project development, our team worked on:
- Store signing compliance analysis
- User-friendly visualizations
- Mobile-friendly web app
Automating the shelf analysis processes with AI
Spencer’s was looking for a partner able to design and implement the AI-based solution for signing compliance and shelf analysis.
The desired tool should have been equipped with a user-friendly UI to make the usage easy for non-technical users.
Reducing the amount of manual analysis
Speed up of the shelf analysis processes
Decrease its prone to errors
Optimization of product positioning
Retail compliance analysis with AI
Computer Vision solution delivered by Addepto equipped Spencer’s in-store managers with an easy-to-use visualization dashboard to make smarter, data-driven decisions.
Previously, they decided about goods placement solely based on observations and intuition, and they couldn’t implement instant changes when noticing the planogram needed to be adjusted. The everchanging in-store situations and dynamic data flow about customers’ preferences make it difficult to keep up with planogram optimizations and correctly set compliances. With Computer Vision actively gathering and analyzing in-store objects, the efforts were significantly reduced.
Before
- Cost- and Time-consuming Retail Audits
- Manual Data Analysis
- Costly In-Store Operations
After
- Speed Up Retail Audits
- Product Placement Optimization in Real-Time
- Increasing Customer Satisfaction
About Addepto
Addepto is a fast-paced, growing company focused on innovations in AI-related and data-oriented areas.
Here you can learn more about the technologies used in this project:
We support companies operating in Retail industry in digital transformation, helping them find ways to use their data with the support of modern technologies such as computer vision.
About us
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We helped multiple companies achieve their goals, but - instead of making hollow marketing claims here - we encourage you to check our Clutch scoring.
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