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

Excellarate’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.

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Episode 18: Tech Trends & Predictions 2022

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Episode 17: Low Code Platforms – Game Changer or Hype

Paula Kielty, New Business & Policy Manager, CUMIS discusses low-code platforms

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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.

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