Get actionable customer insights with AI behavior analysis

Flow diagram

Problem Statement

Lack of customer data: Retail owners may not have access to enough customer data to make informed decisions about customer behavior.

Difficulty in measuring customer behavior: Retail owners may struggle to measure customer behavior in a meaningful way that accurately reflects their shopping patterns.

Personalization challenges: Retail owners must personalize their offerings and experiences for each customer, which can be difficult given the sheer number of customers they serve.

Understanding changing customer preferences: Retail owners must keep up with changing customer preferences and evolve their offerings accordingly.

Balancing in-store and online experiences: Retail owners must balance the needs of customers who shop in-store and online, which can be a complex challenge.

Solution overview

OptiSol developed a subscription-based web application that can recognize a visitor's face, age, gender, and mood in retail stores.

The customer aimed to improve the in-store closure rate by reading customers' moods, leading to increased revenue.

The implementation of ML based solution on live-streamed video took 3 months and provided valuable insights to store staff.

With appropriate training, store staff could approach shoppers with tailored narratives based on age and mood, resulting in a 59% increase in the closure rate.

The store owner used insights from the application to gauge customers' sentiment and make incremental changes to the store.

Business impact

Improved customer engagement: By understanding the age, gender, and mood of customers, store staff can tailor their approach and engage with customers in a more personalized and effective way.

Increased sales: By approaching customers with tailored narratives based on their mood and age, store staff can increase the in-store closure rate and drive sales.

Better customer experience: Understanding customer mood and tailoring experiences can lead to a better overall customer experience, resulting in increased customer satisfaction and loyalty.

Improved decision making: Store owners can use insights generated by the ML solution to make informed decisions about store operations and customer engagement.

Increased efficiency: The ML solution can automate the process of identifying customer mood, freeing up staff time and resources to focus on other tasks.

What our Clients say

"They are very responsive and able to shift focus quickly as we have needed it for business reasons."

"They [OptiSol Business Solutions] have been very friendly and they kept up with the work. They did the job as we had discussed and as everything was arranged."

“I can't speak enough about how pleased I am with their process; it was seamless and efficient.”

"What impressed me the most was their willingness to go above and beyond what was asked."

"We're constantly impressed with their speed and quality of the development that they achieve on a consistent basis."

The best part about working with OptiSol Business Solutions is their commitment to being readily available to their partners. They’re even willing to work into late hours of the night depending on time differences. The solution they produced has already doubled efficiency levels.