Lifesup | Innovations for Life

Home / Digital Solution / Advanced Analytics

The advantage of data is the insights it can provide to identify the customer, understand different operations and their impact, improve business strategies and maximise RoI. However, traditional historical reporting and data aggregation of traditional business intelligence (BI) are not enough. Lifesup Software leverages advanced analytics that uses mathematical, probabilistic, statistical modelling and analytical modelling techniques that facilitate predictive processing and automated decision making.

LifesUp’s approach to advanced analytics solutions involves:

Interactive data exploration and visualization

Machine Learning Model Training

Real-Time or Batch Predictive Processing

It helps marketing teams discover new customer segments; financial teams to protect against potential frauds; supply chain to ensure enough on time stocking especially during holiday seasons; retail to provide customers with omni-channel consumer experience; oil and gas to reduce equipment downtime; using IoT-driven analytics among others .

Lifesup’s experienced and skilled Data Scientists and Data Analysts with deep domain expertise deploy advanced analytics solutions conduct pre-mortem on significant investments, reduce fraudulent claims, increase customer acquisition and wallet share, reduce churn, and achieve higher ROI.

Our State Of The Art Data Analytics Consulting Solutions Includes

Cognitive Analytics

Big Data Analytics

Customer Analytics

Big Data Pricing Analytics

Pricing Analytics Services

Social Media Analytics Services

Cognitive Analytics

Computer vision (CV) and cognitive analytics are combining to resemble the way the human brain works through a combination of artificial intelligence (AI), machine learning (ML), deep learning, semantics and more.

LifesUp’s computer vision and cognitive analytics capabilities offer the following solutions:

Image classification

Object detection

Facial recognition

Image and video analytics

Text analytics and speech recognition

Our Computer Vision-based Solutions

LifesUp offers the following Computer Vision-based solutions.

We help classify images by room type. With the help of pre-trained model, you can classify the room type. Based on their characteristics, the images will be categorized according to the room type.
We help enable object classification in room images with a pre-trained model used to identify and tag object type. The model would be trained with a set of images to improve accuracy. Finally, the items in the image and room would be classified with a bounding box drawn around.
LifesUp’s sophisticated, scalable face recognition system detects, recognizes and analyzes human faces in images. It helps detect a variety of face-related attributes such as head position, facial hair, emotion, gender, age and more.
LifesUp’s image analytics capabilities help derive insights with accurate recognition of objects in images and videos. We help classify and process images for detailed analysis with appropriate placement of image objects into segments.
LifesUp helps derive insights from text using pattern recognition technique, sentence tokenization and more. Our speech recognition service helps convert speech into text and gather insights from, for example, customer service, which helps improve product features, service offerings and more

Tools and Technologies Used

  • For Room Type Classification: Convolutional Neural Networks (CNN), YOLO, VGG16
  • For Room Object Type Classification: Convolutional Neural Networks (CNN), YOLO
  • For Facial Recognition: Multi level CNN architecture for detecting and encoding face
  • For Image and Video Analytics: FCN (Fully Convolutional Network), Mask-RCNN (Region based CNN), Detectron2
  • For Text Analytics and Speech Recognition: Deep neural networks and Optical Character Recognition (OCR)

Big Data Analytics Solutions

The commonly asked question pertaining that millions of people have asked us is, “what does Big Data mean for my business?” Others who have been planning and investing for years describe it as a vast network of data collection and artificial intelligence driven analytics. Working in the field, we can see AI and data analytics evolving and progressing. In its current trajectory, it bears many similarities to the adoption of the internet.

Big Data analytics act as an enabler for enterprises which allow them to analyze their data completely and real-time analysis can also be done. Data analytics has a huge arsenal at its disposal – predictive analytics, text analytics, text mining, sentiment analysis, geospatial analysis, forecasting, optimization and a lot more. Enterprises can drive innovation and make effective business decisions based on results and insights from the analysis. Enterprises that make use of the data analytics solutions are always in a better position to optimize machine learning and meet their big data needs in disruptive ways.

Automation of data analytics is the next big thing. Our services encompass automation and data analytics solutions. From here, we decided to combine both and provide you with the automation of big data. Depending on what technology is applied, the processing, analyzing and understanding of any amount of data will only take a few weeks. Now that we have established that big data analytics can be automated, let’s see how automating it is of use:

Automation of data analytics will give data scientists more time to interpret and concentrate on their core competencies rather than working on analyzing and making sense of the data.

Reduced operational costs

Cost-effective

Increased operational efficiency

Scalable

Customer Analytics Solutions

Businesses today have access to data from multiple sources —right from product-related to data on brands, prices, competitive offerings, and so on.

With insightful learnings from Customer Analytics, businesses can continue serving existing customers, prevent attrition, and build stronger relationships through right product offerings at the right time, using the right channel and the right messaging.

LifesUp uses advanced analytics such as churn analysis, RFM analysis and Customer Lifecycle Value in Big Data environment for its customers across industries such as Retail, Financial Services, E-Commerce and CPG Industries, especially in the US.

  • Targeted demographics with the highest concentration of potential customers
  • Identifying highly profitable prospective customers
  • Controlling customer acquisition costs
  • Capturing market share
  • Edit Icon List
  • Maintain customers and reward loyalty
  • Be proactive in introducing retention strategies
  • Grow your business with existing customers
  • Increase customer satisfaction and profitability
  • Edit Icon List
  • Discover cross-selling and bundling opportunities​
  • Prioritize and optimize the most profitable products
  • Increase average order value
  • Deepen customer relationships and improve customer loyalt
  • Edit Icon List
  • Identify your most profitable customers
  • Focus your marketing on segments most likely to purchase
  • Discover potential niche markets
  • Develop or improve products to meet customer needs
  • Edit Icon List
  • Build high-value relationships, maintain customers and reward loyalty
  • Be proactive in introducing retention strategies
  • Focus acquisition & reactivation efforts on customers with the highest customer lifetime value
  • Grow your business with existing customers and increase revenue

Room Type Classification

  • Targeted demographics with the highest concentration of potential customers
  • Identifying highly profitable prospective customers
  • Controlling customer acquisition costs
  • Capturing market share

Deeply analyze existing customer data to cross-sell/upsell:

  • Discover cross-selling and bundling opportunities
  • Prioritize and optimize the most profitable products
  • Increase average order value
  • Deepen customer relationships and improve customer loyalt

Gaining valuable customer insight and intelligence from LifesUp data mining solutions, in order to:

  • Maintain customers and reward loyalty
  • Be proactive in introducing retention strategies
  • Grow your business with existing customers
  • Increase customer satisfaction and profitability

Segment customers into meaningful clusters, in order to:

  • Identify your most profitable customers
  • Focus your marketing on segments most likely to purchase
  • Discover potential niche markets
  • Develop or improve products to meet customer needs

Forecast the expected lifetime value of your customers:

  • Build high-value relationships, maintain customers and reward loyalty
  • Be proactive in introducing retention strategies
  • Focus acquisition & reactivation efforts on customers with the highest customer lifetime value
  • Grow your business with existing customers and increase revenue

Big Data Pricing Analytics Solutions

LifesUp’s Big Data Pricing Analytics services, including price elasticity and optimisation, revolve around aiding organizations to set prices right, understand their market positioning, analyse the impact of markdowns and benchmark deals.

 

We also cover relative price points, demand elasticity measures and optimization to establish prices that will maximize margins. We cater to retail, CPG and e-commerce.

Data Services

For product categories based on market conditions and target contribution margins
To estimate the impact of pricing on sales volumes
To understand the impact of price differentials on market share
To optimize the pricing of products/services based on revenues or profitability
To estimate price-change triggers based on customer behavior to maximize revenue/profitability.
To estimate the retail promotion pricing needed to meet returns on marketing investments.

To position products properly against the competition

Social Media Analytics Services Solutions

Social media analytics data typically stands apart from customer or transaction data, thus making any analysis incomplete.
Lifesup’s social media analytics solution helps overcome that challenge and add insight to your customers in the following ways

  • Connect social and transactions data
  • Use social profiles in segmentation, model builds and campaigns
  • Target sharper on social media channels
  • Understand the link between social and transactions

Our social media solution centers on sentiment and word analytics include the following services:

  • Using advanced algorithms we help our clients gauge in real time, the emotions in written text in blogs, e-mails, Facebook, Twitter etc.
  • Help build highly visual reports such as word clouds which enable the client to gauge what people are most interested in and communicating about on Social media channels.

In addition to helping businesses with the analytics, we also use machine learning to plan, design and develop the architecture using the following components:

Data storage

Batch processing

Stream processing

Analysis and reporting

Analytical data store

Orchestration

Technology Expertise

Databases

Related Services

Data Visualization

Data visualization is a key part of any data analytics journey. Having a data visualization consultant on board lets you track goal achievement, spot trends at the earliest, identify crucial outliers and also...

IoT Analytics

LifesUp’s IIoT Analytics services help enhance manufacturing and industrial processes, which is a main component of Industry 4.0. We have deployed IIoT services across domains like...

Customer 360

Customer 360 is a collection of analytics use-cases developed for our customers to understand their customers. They come in handy across the lifecycle of a customer in the evolution from the lead stage to...

Get an estimate
FIll out this simple form to receive a cost estimate for your project. We usually reply within a few hours.