Architecture Diagram

Problem Statement

null

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

null

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

null

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.

null

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

null

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.

Talk To Our Expert Team!

Solution Overview

null

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

null

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

null

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

null

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.

null

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

Talk To Our Expert Team!

Business Impact

null

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.

null

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.

null

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

null

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

null

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

Talk To Our Expert Team!

Testimonials of Our Happy Clients

Rick Tigges

Rick Tigges

CFO, Bemodo

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

Ryan McClellan

CEO, iLookin.com, LLC

"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."
Chris Gordon

Chris Gordon

CEO, Wait for me

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

Oli Robinson

CEO, Rule:Fresh

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

Dan Talken

Founder, My Equipment Library, LLC

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

Ken Kisner

Molecule Corp

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.

Related Success Stories

Assessing Customer Sentiment using Artificial Intelligence

Enhancing Customer Satisfaction through Personalized Services…

Know More

Ensure Safety & Compliance with AI-Powered PPE Detection

Upgrade your facility’s safety measures in real-time by continuously monitoring…

Know More

Reduce Workplace Incidents with AI-Assisted Posture Analysis

Ensure the safety of your industrial workforce by analyzing…

Know More

Tracking Construction Site Progress using AI

End-to-end AI-powered construction task management and tracking mobile App…

Know More

Related Insights

Customer Sentiment Analysis using Artificial Intelligence

Sentiment analysis is the process of applying artificial intelligence to recognise the emotions expressed in text.

Read More

Transforming Patient Care with Sentiment Analysis

Patient care is at the heart of the healthcare industry, and healthcare providers are constantly seeking ways to improve the quality of care they provide to patients

Read More

Analyse Retail Customers Behaviors using AI

The variety of available technology is expanding along with the incorporation of AI into brick-and-mortar establishments.

Read More

Key Features

null
Configure IP cameras and feed video data to AWS cloud.
null
Stream the video via AWS Kinesis.
null
Use Recognition to detect faces to inform the next step (no faces, no action).
null
Lambda functions orchestrate multiple Recognition services to determine the visitor’s gender, emotions, and age.
null
Lambda functions store the derived data to the RDS
null
The derived data is sent to the appropriate stores as messages.
null
The in-store application displayed the streaming video with the derived metadata for the store staff to see.

Our Award-Winning Team

Awarded Bronze Trophy at CII National competition on Digitization, Robotics & Automation (DRA) – Industry 4.0

null

50+

AI & ML
Engineers

null

40+

AI & ML
Projects for
reputed Clients

null

5 yrs

in AI & ML
Engineering

Awarded as Winner among 1000 contestants at TechSHack Hackathon

Trusted and Proven Engagement Model

  • A nondisclosure agreement (NDA) is signed to not disclose any sensitive information revealed over the course of doing business together.
  • Our NDA-driven process is established to keep clients’ data and IP safe and secure.
  • The solution discovery phase is all about knowing your target audience, writing down requirements, and creating a full scope for the project.
  • This helps clarify the goals, and limitations, and deliver quality products & services.
  • Our engagement model defines the project size, project development plan, duration, concept, POC etc.
  • Based on these scenarios, clients may agree to a particular engagement model (Fixed Bid, T&M, Dedicated Team).
  • The SOW document shall list details on project requirements, project management tools, tech stacks, deliverables, milestones, timelines, team size, hourly/monthly rate cards, billable hours and invoice details.
  • On signing the SOW, an official project kick-off meeting shall be initiated.
  • Our implementation approach, ecosystem, tools, solutions modelling, sprint plan, etc. shall be discussed during this meeting.

Related capabilities

Top 5 Machine Learning Companies in 2021

Machine learning is the study of computer algorithms that improve automatically through experience and using data.

Read More

Personality Traits Analysis among Social Media Influencers

The idea of this project is to build a sentiment analysis model that detects the emotions that underlie a tweet. It makes associations between words and emotions and the aim is to classify the tweets into sentiments like anger…

Read More

Cognitive Artificial Intelligence – How Is It Transforming Law Firms?

Cognitive Computing technology is used to perform specific tasks to facilitate human intelligence. Cognitive AI analyses a huge amount of data to offer insights, suggestions, and even automated actions.

Read More
Connect With Us!