MishiPay vs Quant Comparison: Reviews, Features, Pricing & Alternatives in 2026

Detailed side-by-side comparison to help you choose the right solution for your team

Updated Apr 2026 8 min read

MishiPay

0.0 (0 reviews)

MishiPay is a mobile self-checkout software that allows your customers to scan items and pay on their own smartphones to eliminate waiting in lines at retail stores.

Starting at --
Free Trial NO FREE TRIAL
VS

Quant

0.0 (0 reviews)

Quant is a comprehensive retail management software providing integrated solutions for floor planning, shelf management, inventory forecasting, and task management to optimize your store performance and sales efficiency.

Starting at $??/mo
Free Trial 30 days

Quick Comparison

Feature MishiPay Quant
Website mishipay.com quantretail.com
Pricing Model Custom Subscription
Starting Price Custom Pricing $??/month
FREE Trial ✘ No free trial ✓ 30 days free trial
Free Plan ✘ No free plan ✘ No free plan
Product Demo ✓ Request demo here ✓ Request demo here
Deployment saas mobile cloud mobile desktop
Integrations Shopify Magento Oracle SAP Microsoft Dynamics Adyen Stripe CyberSource SAP Microsoft Dynamics Oracle Excel Google Drive Shopify Magento
Target Users mid-market enterprise small-business mid-market enterprise
Target Industries retail grocery fashion retail consumer-goods
Customer Count 0 0
Founded Year 2015 2014
Headquarters London, UK Prague, Czech Republic

Overview

M

MishiPay

MishiPay brings the speed of online shopping into your physical retail stores. By allowing your customers to simply scan barcodes with their own smartphones and pay instantly, you eliminate the friction of traditional checkout lines. This mobile-first approach not only improves the shopper experience but also frees up your staff to focus on floor service and sales rather than processing transactions.

You can deploy the technology as a mobile web application or integrate it directly into your existing brand app. The platform includes robust security features like RFID integration and specialized exit gates to prevent shrink. Whether you run a small boutique or a global retail chain, you can use these tools to capture more data about in-store behavior and increase your average transaction value through personalized digital offers.

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Quant

Quant provides you with a unified platform to manage your entire retail ecosystem, from the initial floor plan to the specific placement of products on a shelf. You can create accurate 3D store visualizations and data-driven planograms that ensure your high-performing items get the visibility they deserve. By linking spatial data with sales analytics, the software helps you eliminate stockouts and reduce overstock through automated replenishment suggestions.

Beyond space planning, you can streamline your store operations by sending task checklists and photo documentation requests directly to your staff's mobile devices. This ensures that your merchandising standards are maintained across every location in your network. Whether you manage a single boutique or a multinational retail chain, Quant helps you turn floor space into a measurable asset while improving the daily efficiency of your floor teams.

Overview

M

MishiPay Features

  • Scan & Go Checkout Let your customers scan items using their phone cameras and pay instantly without ever standing in a line.
  • RFID Integration Automatically disable security tags upon successful payment to ensure a smooth and secure exit for your shoppers.
  • Dashboard Analytics Track real-time store performance and shopper behavior data to make smarter inventory and staffing decisions.
  • Digital Receipts Send instant digital receipts to your customers' phones to save paper and build your marketing database.
  • Self-Checkout Kiosks Deploy slim, tablet-based kiosks for customers who prefer a physical station over using their own mobile devices.
  • Loss Prevention Tools Monitor transactions in real-time and use weighted scales or exit gates to verify purchases and reduce theft.
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Quant Features

  • Floor Planning. Design and manage your store layouts in 2D and 3D to optimize customer flow and maximize sales per square meter.
  • Planogram Management. Create data-driven shelf displays that automatically adjust based on sales history and product dimensions to reduce manual work.
  • Demand Forecasting. Predict future sales trends using integrated analytics so you can order the right amount of stock at the right time.
  • Store Specificity. Generate unique planograms for every store in your chain automatically, accounting for different shelf sizes and local demand patterns.
  • Mobile Task Management. Send implementation instructions directly to store staff and receive photo confirmations to ensure your merchandising is executed perfectly.
  • Automatic Replenishment. Connect your sales data to your space plans to trigger automated reordering and maintain optimal stock levels on your shelves.

Pricing Comparison

M

MishiPay Pricing

Q

Quant Pricing

Basic
$??
  • Floor planning tools
  • Basic planogram creation
  • Product library management
  • PDF and image exports
  • Email support

Pros & Cons

M

MishiPay

Pros

  • Significantly reduces wait times during peak shopping hours
  • Easy for customers to use without downloading an app
  • Integrates well with existing inventory management systems
  • Helps reallocate staff from registers to the floor

Cons

  • Requires reliable in-store Wi-Fi or cellular data
  • Initial hardware integration for RFID can be complex
  • Older customers may prefer traditional checkout methods
A

Quant

Pros

  • Highly flexible planogramming that handles non-standard shelf shapes
  • Excellent integration between sales data and visual space planning
  • Mobile app simplifies communication between headquarters and store staff
  • Responsive customer support team helps with complex technical setups

Cons

  • Initial data import and setup requires significant time investment
  • Interface has a learning curve for users new to CAD
  • Advanced automation features require high-quality historical sales data
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