Clients

Pioneers of data analytics solutions around the Globe. With over 75,000+ installations, Xpandretail has been delivering secure cloud-based business intelligence platforms for over 2 decades worldwide.

Groups

Al Tayer - Xpandretail Client — Xpandretail Client for footfall Analytic Solutions

Damac - Xpandretail Client — Xpandretail Client for Data analytics Solutions

Landmark Group - Xpandretail Client — Landmark Group – Xpandretail Client

Brands

ARMANI EXCHANGE - Xpandretail Client — ARMANI EXCHANGE – Xpandretail Client

FENDI ROMA - Xpandretail Client — FENDI ROMA – Xpandretail Client

Pandora - Xpandretail Client — Xpandretail Client people Counting system

Testimonials

Clients

Services and Support is exceptional. I recommend this company to anyone who is looking for people counting solutions.

Vivian fernandes
June 1, 2023

Great company with a strong team having a clear vision to take the organization to the next level, with an amazing work environment.

Prathibha T J
May 1, 2023

Best provider in footfall counting, amazing support.......amazing company

Wilbert Valenzuela
May 1, 2023

Amazing company, with reliable people to trust

Melissa kate Ramos
March 1, 2023

Frequently asked questions

Questions you might ask about our Xpandretail AI powered solutions.

Why is retail data analytics important?

Retail data analytics provides valuable insights into customer preferences, buying patterns, and market trends. By understanding these factors, businesses can tailor their offerings, enhance customer experiences, optimize operations, and ultimately increase profitability.

How can retail data analytics improve sales performance?

Retail data analytics helps businesses identify high-performing products, optimize pricing strategies, and personalize marketing campaigns based on customer preferences. This targeted approach can lead to increased sales and improved customer satisfaction.

How does retail data analytics impact customer experience?

Retail data analytics allows businesses to understand customer behavior, preferences, and pain points. With this information, retailers can tailor their offerings, improve store layouts, and enhance customer service, leading to a more personalized and satisfying shopping experience.

Are there challenges associated with implementing retail data analytics?

Yes, there can be challenges such as data quality issues, integration of various data sources, and ensuring data privacy and security. Additionally, interpreting complex data and implementing changes based on insights can be a learning curve for some businesses.

Still Have questions?

Contact our data analytics experts for more details.

Get In Touch

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