Skip to main content
 
 

Alleviate Retail pain-points using NLP and ML

A client in the retail business needed a way to reduce churn, better optimize its assortments, and correct inventory distortion. Using NLP and machine learning, Synerzip’s experts built a platform that interacts with humans in natural language and delivers prescriptive analytics to minimize a problem's impact.

 

Predicting fuel supply needs for optimal refueling of gas stations

Synerzip’s team helped a client in fuel supply chain management by actively analyzing consumption per site. They then coupled this data with external data sources to better predict what upcoming customers’ may have. These predictions allow them to manage their inventory better and reduce the cost of ownership.

 
 

Active Learning with a human in the loop for a recruitment firm

Our ML teams built models to actively learn about the applicants by ‘reading’ their resumes to build a feature model. This model is then used to train a random forest model whose results classify applicants by topics. When the results were not accurate human intervention fine-tuned the learning process making better models for future use.

On Demand
May 6, 2021

Webinar: UX Design Mobile First: A Case Study

A real-life case study of building a mobile-first UX design strategy for an MVP.

View the recording
On Demand
March 18, 2021

Technology Roadmaps Accelerated with Remote Teams

Remote teams can be as effective, if not more, than in-office co-located teams.

View the recording
Latest Podcast
Available Now

Low-Code No-Code Platforms – InsurTech’s Silver Bullet

An effective solution for insurance companies to keep up with digital tech.

Listen to the podcast

End-to-end Services for AI Enablement

Achieve real benefits of AI and machine learning algorithms, computer vision, and natural language processing by streamlining disparate data sources. Build production-ready machine learning models with feedback loops to fine-tune and monitor models in production.

Data Analytics

Answer pressing business questions with innovative and descriptive insights

Machine Learning

Develop, deploy and productionize end-to-end machine learning solutions using proven technologies

Natural Language Processing

Build human-friendly chatbots and interactive dialog systems using abundantly available text content

Computer Vision

Build better ML models using images for text and feature extraction

Transfer Learning

Build ML models on sparsely labeled datasets using transfer learning on generic models built with abundantly available non-labeled generic data sets

ML Ops

Productionize your machine learning workflows with automation to version data, code and models and reduce friction between data science and operations teams

Just Getting Started With AI?

Quickly identify low-hanging fruits and deliver successful implementations to build confidence and promote AI usage in the organization. Our team works with data scientists and helps them prototype various model building approaches and give feedback on in-house models.

Build and Use a Single Source of Data Truth

Consolidate data from various data lakes for a single source of truth to build data marts. Use these data marts for analytics and build predictable and reproducible machine learning workflows.

Productionize AI Models

Synerzip teams augment our customers’ data engineering teams to productionize their models with specialized knowledge in handling large data volumes and deploying ML models in a scalable manner.

Additionally, Our ML Ops service helps you model performance in production and automate new models’ deployment as they become available.

Expertise and Experience Across Tools

Various tools and platforms that we have real-world experience and expertise with.

Trending Topics

Analytics

The pandemic gives Prescriptive Analytics a shot in the arm

As businesses went into overdrive to support the world during the pandemic, the focus on "data" became more vital than ever before. Over the last two decades, technology buzzwords have…
Machine Learning

Julia vs Python: Which is better for Machine Learning?

As a machine learning engineer, I have to be current on the various languages that are in use to build ML models. I came across Julia through peer discussions and…
Machine Learning

Why Machine Learning is seen as Future of Banking and Finance

Machine learning (ML) is one such technology that has tremendously benefited financial services and banking industry. Bad decision making costs organization in terms of time, profitability and reputation. But the…

“The Synerzip team seamlessly integrates with our team. We started seeing results within the first sprint. And due to the team's responsiveness, we were able to get our product to the sales cycle within 7 months”

Jim NalleyWHZRT

“Synerzip team ramps up fast, is technically competent and therefore understands complex product requirements faster. With Synerzip, Tangoe has reduced cost by 2:1.”

Mike WatsonTangoe Wireless

“Synerzip is different because of the quality of their leadership, efficient team and clearly set methodologies. Studer gets high level of confidence from Synerzip along with significant cost advantage of almost 50%.”

Wayne HydeStuder Group

“Synerzip team is undoubtedly the 3rd generation of Engineers, experts in agile programming and mobile technologies, who focus on processes and timelines, but never compromise on Quality. Synerzip has played a vital role in our scaling up and was a perfect partner in terms of cost, efficiency, and schedules.”

Herman SpencerQuickoffice

“Synerzip makes the time zone differences work FOR the customer, enabling a positive experience for us. 'Seeing is believing, so we decided to give it a shot and the project was very successful.”

Ron WatsonCentric Software

“Partnering with Synerzip has helped ExamSoft considerably on reducing cost and has given the advantage of 24x7 development cycles.”

Mark HaneyExamSoft

“Synerzip's agile processes & daily scrums were very valuable, made communication & time zone issues work out successfully.”

Ed HerreraPDX, Inc

“We are very pleased with the progress on this project. Not all projects go as smoothly in Aqua Finance. I wish all our other projects are executed this way.”

John GelhausCTO, Aqua Finance

Talk to Us

Ask us a question or talk to one of our experts. Email us or call us at +1.469.374.0500.

Get Started