This page breaks down BIM POS ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand BIM POS’s overall reputation. This data-driven overview will show you exactly how BIM POS is rated - including how it compares to competitors.

BIM POS's Overall Rating Summary

  • Average Rating:4.8/5
  • Total Reviews:439 reviews
  • Sources:G2, Capterra, Getapp, Facebook
  • Last updated:September 1, 2025

BIM POS Ratings by Source

PlatformRatingReviewsLast Update
G2 logoG2
0/5
0+ reviews14.08.24
Capterra logoCapterra
4.8/5
46+ reviews01.09.25
Getapp logoGetapp
4.8/5
391+ reviews08.06.25
Facebook logoFacebook
5/5
2+ reviews04.05.25

What is BIM POS?

BIM POS offers a comprehensive suite of software solutions including Masterdine Point-of-Sale System for Hospitality, STORCheck Point-of-Sale System for Retail Stores, and FLEXSURV Digital Customer Evaluation System. Their hardware offerings include Point-of-Sale Terminals, Portable Mobile Terminals, and Kitchen Management Systems. Services provided encompass 24/7 Support, End-to-End Implementation, Back Office Management, and Consultancy & Auditing.

🤔 BIM POS vs Competitors: How Do Ratings Compare?

Check out BIM POS Alternatives

Frequently Asked Questions

How trustworthy is BIM POS?

According to Capterra review site BIM POS holds rating of 4.8/5, highlights excellent reputation and user approval as of September 2025.

How many stars is BIM POS rated?

BIM POS has an average star rating of 4.8 out of 5 stars based on average of 439 reviews as of September 2025.

Where does the rating data come from?

The ratings are pulled from BIM POS public reviews pages on platforms: G2, Capterra, Getapp, Facebook. We update these ratings monthly to ensure they reflect the most current customer feedback.

How overall average rating for BIM POS is calculated?

The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.