For a modern enterprise to thrive in a digital-first world, an agile workplace built on data intelligence is vital.
Netscribes offers full-stack data and analytics solutions to help you achieve sustained business success. We access, store, visualize and enrich a wide range of structured and unstructured data to address your unique business challenges.
A comprehensive solution to help you embrace digital transformation with confidence
Public data intelligence
Web data gathering
Data identification and verification
Data structuring
MRP/MAP compliance
Data engineering and dashboarding
Custom dashboards
Price monitoring
Brand monitoring
Assortment intelligence
SEO monitoring
ML/AI model development
AI model development
Data labeling
Influencer analytics
Sentiment analysis
Video intelligence
Exploratory data analysis
Exploratory data setup and management
Data pipeline maintenance
Data visualization
The Netscribes advantage
Drive agility with contextual, and actionable insights
Leverage our DevOps methodology for technology implementation and delivery
Address urgent business needs with a digital-first approach
Improve engagement by combining people- focused processes with advanced data and analytics
From data to decisions
Grow into a world-class digital-first enterprise with our data and analytics solutions
We offer large-scale web data gathering, structuring, analyses, and dashboarding services. Our public data intelligence solution can provide you with price and brand monitoring, assortment intelligence, and content tracking across different marketplaces and single-brand online retail stores.
Our process
Collect data from 50+ available online sources
Capture data from listings and product detail pages
Create central repository
Analyze price, availability, and search results using AI/ML frameworks
With a deep understanding of modern data technologies, our expert analysts dissect data from multiple siloed sources ranging from CRM and product database to sales data and establish a single data warehouse. We calculate and showcase meaningful metrics (price, assortment, brand, and SEO) in a customer dashboard to help your business teams take corrective action wherever necessary.
Our process
Source data from multiple data sources sitting in silos
We use custom AI/ML algorithms to support your business development lifecycle – from marketing and sales to customer experience. We cater to your individual business needs ranging from influencer and customer review analytics to video intelligence, by diving into data and capturing analyses in a dashboard.
Our process
Define problem statements for ML/AI algorithms
Identify and analyze the many solution parameters
Collect public online data and structure it for labeling purposes
Human in the Loop (HITL) labeling: Collate and upload data in the Workflow platform
Transfer cleaned, labeled data to Data Science teams for AI model deployment
Seeking granular insights into the main characteristics of a data set? Our exploratory data analysis can help you get the answers you need by employing data visualization and data pipeline maintenance.
Our process
Observe the dataset based on the imported raw data
Identify and categorize missing values
Notice skewness and gaps to understand dataset trends
India’s largest telecom service provider sought best-in-class data on corporate prospects across specific locations. Building such a database needed accurate data, verified with specific…
A leading grocery supermarket chain wanted to reduce its inventory wastage and sales opportunity loss – the two main outcomes of inaccurate demand forecasting….