Smart Cleaning for Smart Retail

Challenge

Physical retailers always strive to ensure all store spaces are optimized so customers can make the most of their shopping experience. Working towards that goal extends to all areas, including in-store restrooms.

Like in most other public use spaces, many retailers still rely on timed cleaning schedules—a common approach easily identified by a signature form affixed to the back of the restroom door. Modern retailers are contending with several challenges related to this model, including:

Inefficient allocation of staff members or third-party contractors
Particularly sensitive privacy issues
Time lag between schedule cleaning and required cleaning

Optimizing Merchandising with Subcategory Analytics

Retailers need insights into store dynamics to boost engagement and sales. Belgium's Amoobi used Xovis 3D sensors to enhance a major retailer's performance.

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Solution

A Smart Cleaning solution using objective, real-time data can automatically alert designated employees, managers or contracted janitorial staff when the number of visitors to a particular sanitation facility surpasses a certain threshold. Used-based cleaning can help retailers:

Reduce operational costs
Matching cleaning staff scheduling to real-time use
Eliminate unnecessary cleaning
Ensure cleaning happens as soon as needed
Preserve the anonymity of visitors to in-store sanitation facilities

Xovis' 3D sensors offer brick-and-mortar stores a competitive edge by hastening the trial-and-error process for improved decisions and higher revenue.

Olivier Delangre Co-founder & Chief Executive Officer, Amoobi

Benefits

Use-based cleaning is an easy way to better manage human resources by ensuring staff only acts when necessary, without negatively impacting customer satisfaction. An automated solution that guarantees effective cleaning can also:

Strengthen store reputation
Limit time managerial staff spends planning for cleaning
Promote sustainable image
Provide information about how bathrooms affect conversion rates

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A dynamic retail complex features supermarkets, clothing stores, and transport hubs with bustling activity.

Frictionless Checkout

Automation helps balance customer flow and prevent loss at self-service zones
Measure Customer Engagement

Measuring customers’ in-store dwell times can boost sales of higher margin products
Improving Store Layout

Accurate store traffic data helps retailers optimize layout and product placement
View Direction

Retailers can boost revenue by measuring in-store attention
Customer Counting

Optimal staff and layout depend on real-time customer engagement data
Optimizing Product Positioning / Assortment

Retailers looking to support their category manager are turning to tech
Real-Time Waiting Analytics

Retailers need a robust queue management system to eliminate friction points
Preventing Queue Formation

Queuing up can become a costly friction point for brick-and-mortar retailers
Expanding Sales with Demographic Data

Understanding gender-specific shopping trends helps retailers optimize resources.
Customer Centric Staff Allocation

Retailers need a robust queue management system to eliminate friction points
Staff Exclusion and Sales Performance

Real-time KPIs help retailers optimize performance across all locations
Use-Based Cleaning

Smart Retail requires Smart Cleaning to enhance customer experience
Group Shopping Analytics

Shopping habits change with company, aiding retailers in boosting sales
Window Shopping Analytics

Tracking capture rates from window shoppers can boost store performance

Smart Cleaning for Smart Retail

Optimizing Merchandising with Subcategory Analytics

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