AI, cloud, analytics

Manthan delivers all the critical capabilities your data-driven business needs.

Our cloud-based AI and analytics platform enables AI-powered, autonomous decision-making for retail and consumer businesses – with data-driven insights and algorithms that close the decision loop for critical business processes.

Key Capabilities

An AI-powered platform engineered to democratize analytics adoption and usage

AI-powered interface

Each user has a rich, contextualised and personalised user experience with our out-of-box, AI powered voice and text interface. Design absorbs the complexities of the engineering beneath.

AI-powered algorithms

A unique interface makes sophisticated analytics easy for business users. With a prescriptive framework for decision-making on-the-go. A single unified architecture seamlessly integrates data management, data discovery, advanced analytics, reporting and visualization.

AI-ready data management

Engineered for high scale, performance, reliability and security on the cloud. Partners leading public clouds; certified AWS Advanced Technology Partner. Runs natively on Big Data/Hadoop. Fastest RoI with extensive infrastructure provisioning capability plus connectors to all major business and consumer systems.

Our design principles

For analytics to truly benefit businesses, it should be zero-touch, zero-effort, zero-proficiency

Autonomous decision-making

Machine Learning embedded into the platform to build models for autonomous decision making, with business-context aware visualization capabilities. Makes it easy for all to benefit from analytics.

Integrated business processes

Our expertise is focused on retail and consumer business with 12 years of domain expertise. This helps us understand and address the needs of every role in these businesses.

Closed loop execution

Execution engine provides the capability to complete the insight to execution framework – with ingestion of the data in real time, computing and scoring the models and making insights available for the applications. Provides every user with a complete solution. .

What customers say

Take a look at the magic our platform has worked for our customers

Real time event processing

Real-time processing is achieved with both stream processing and micro-batching. Frameworks used are AWS Kinesis, Spark Streaming, Apache Storm and Apache Flink.

Performance and scalability

Real-time data processing helps trigger action upon real-time ingress which can be achieved using event-driven programming paradigm. This is achieved by leveraging AWS Lambda or Azure Functions, which shares event-driven and compute-on-demand experience.

Real-time consumption

Manthan brings the ability to consume data in real-time, vital to real-time end consumer systems. This is achieved by leveraging AWS API Gateway or Azure API Management.

What analysts say

Here’s what analysts say the advantages of the Manthan platform are

“Manthan’s work with the Future Group in the area of ‘Personalizing Offers and Assortments with Advanced Customer Analytics’ wins recognition at Nasscom’s 2015 ‘Excellence in Analytics’ awards.”

“Manthan’s work with the Future Group in the area of ‘Personalizing Offers and Assortments with Advanced Customer Analytics’ wins recognition at Nasscom’s 2015 ‘Excellence in Analytics’ awards.”

“Manthan has received the AWS Excellence 2017 – Innovation Partner Award at the AWS Summit, Mumbai.The award is recognition of Manthan’s innovation on Artificial Intelligence using Amazon Alexa and Lex Technologies”

“#1 in Customer satisfaction for Tier 1 retailers, #1 in Technology Innovation, #1 in Product Reliability”

“Retail customers looking for unified set of packaged applications supporting range of descriptive, diagnostic, predictive and prescriptive analytics should consider Manthan.”

Algorithms and models

Built-in features

  • Sophisticated algorithms out-of-box
  • Flexibility to explore data and manage custom algorithms
Manthan provides a business use-case layer on top of an advanced modeling platform. The user provides the business assumptions, like the type of segmentation that needs to be built or the products for which sales needs to be forecasted. The system does the heavy lifting and creates the best fit model taking into consideration the type of data available. The platform also provides a scalable on-demand infrastructure that is initiated based on the requirements of the algorithms. Various algorithm types are supported by the platform including clustering, classification, regression, association mining, recommendation systems, etc.

Custom models

  • Tools needed to build custom models
  • Capability to productionize
The platform provides a source of clean customer data and makes it easy for the data scientist to explore data exploration, test hypothesis and prepare data. A finalized model can be imported into the system, integrated with business applications through API interfaces and run in real-time.

Analytics As A Service

  • Simple, modular integration
  • Analytics As A Service
  • Model imports as Java / Python/ Spark R scripts
  • Enables on-demand clusters with sizing as per analytical need
  • Optimized for various Hadoop distributions and databases

Conversational interface

Rich, conversational NLP-based interface (supports both voice and text) can answer all types of questions across the analytics spectrum – descriptive, diagnostic, predictive and prescriptive. Platform allows the NLP interface layer to activate all underlying Artificial Intelligence / Machine Learning models to answer sophisticated business questions via a conversational interface.

Devices supported

  • Smart speakers – Amazon Echo/Dot/Show
  • Google Home
  • Microsoft Cortana
  • Smartphones and Tablets
  • Text agent that can be integrated into any thirdparty application

Data visualization, advanced exploration, reports and collaboration

  • Designed to democratize data and put insights in the hands of the decision maker.
  • Prebuilt analytics for various decision scenarios and structure for rolling out the same to users through role based mapping.
  • With centralized definitions and templates, every user will have analysis in a consistent manner. All definitions are built using the common metadata which provides the business definitions to the users.
  • Users can create their own analysis and visualizations using the common metadata guaranteeing consistency of definitions.

Managed,self-service and governed usage models

  • Designed to democratize data and put insights in the hands of the decision maker.
  • Prebuilt analytics for various decision scenarios and structure for rolling out the same to users through role based mapping.
  • With centralized definitions and templates, every user will have analysis in a consistent manner. All definitions are built using the common metadata which provides the business definitions to the users.
  • Users can create their own analysis and visualizations using the common metadata guaranteeing consistency of definitions

Expand for any use case

  • With common metadata framework and GUI-driven development tools, definitions and analysis can be aligned to the changing business needs or extended to the new business scenarios.
  • Most analyses can be done by business users themselves using the self-serve capabilities.
  • Customers have extended Manthan models to other areas using development tools.

Seamless Descriptive, Predictive, and Prescriptive

  • Predictions and prescriptive recommendations with descriptive reporting for users to compare the business understanding with the recommendations and immediately roll out actions.
  • Descriptive analysis to understand how the business is doing, what is working and what’s not, identify opportunities through reporting, dashboarding, proactive alerts functionality.
  • Learns from data, makes predictions on data to identify business objectives and makes recommendation based on the objective.

Security

  • State-of-the-art data centers with multi-level security perimeters, fire, water, climate, temperature protection fault-tolerant design. Highest degrees of business continuity assured through advanced technology partnerships with leading cloud providers like Amazon Web Services and Microsoft Azure.
  • Secure Network Architecture, firewall and boundary devices control access.
  • Isolated dedicated Virtual Private Cloud (VPC) with IPsec Virtual Private Network (VPN) provides an encrypted private on premise to cloud integrations.
  • Application firewalls, secure application design and deployment verified by third party assessments that include structured review processes based on best-inclass practices influenced by standards such as ISECOM Open Source Security Testing Methodology Manual (OSSTMM), Open Web Application Security Project (OWASP), US National Security Agency (NSA), ISO 2700 Information Security Standard.
  • Supports best-in-class multi-factor authentication integrations, integration to Enterprise Class Identity management systems on the Cloud and on premises.
  • Data secured within private subnets within VPC and Data at Rest stored on encrypted block and object storages.
  • Data transfers are encrypted (256 bit) before being transmitted through secured private VPN tunnel or SSL over HTTP based service endpoints
  • Data is stored on encrypted block storage and encrypted object stores. Data on volumes, snapshots are encrypted with AES 256 cryptographic algorithms.
  • Sensitive and confidential data is encrypted through strong cryptographic algorithms.
  • Data is accessible only via the application through SSL over HTTP.

Scale and performance

  • Thousands of interactive users
  • Hundreds of Service APIs supported
  • Hundreds of terabytes of business systems data
  • Petabytes of unstructured data including web, social, IoT, etc
  • Hundreds of nodes in clusters supporting machine learning and data management workloads

Switch On

Switch On is Manthan’s proprietary infrastructure provisioning capability with connectors to all major business and consumer systems. Manthan’s ready-to-deploy data model, process and functional use-case enabled robust analytics are delivered in a matter of days.
  • The data onboarding phase connects the source systems and process into the Manthan
  • Data onboarding can be enabled in staged manner to support the usage of the system with integrated data.
  • Data onboarding process packs in retail scenarios of data behavior like late polls, corrections, audit corrections and calendars that help in achieving greater accuracy, faster.
  • Users are onboarded with business scenarios during the functional onboarding phase.

Data Lake

Manthan enables connecting data from disparate sources and managing it for longer periods of time and applying it across machine learning, business intelligence and applications.
  • Manthan data lake is built over latest development using the object store, encrypted and compressed format, considering data life cycle, end use and security needs.
  • Batch and real-time pipes build the data at common place. Transformed and central data store can be managed through a simple click and drag interface.
  • • AI/ML routines help in connecting data points like single customer view by linking activity, predicting missing values, text analysis – to recognize entities and sentiment applied during central data management to create uniform cleaned data for all consumer applications.
  • Manthan WLM//heuristics help in scaling the computing power to the work demand – to manage the terabytes of data in and efficient manner for the incoming use cases.

Connectors

  • Manthan has connectors to more than 400 systems covering enterprise systems, public databases, SAAS applications, files and databases.
  • Enterprise connectors have an understanding of the entity model of the systems and readily process data into the analytics framework, reducing the time required for enabling applications.
  • Manthan connectors can source data from enterpriser sources like SAP, Oracle, Navision, JDA MMS, JDA PMM, Retalix, EPICOR etc.
  • Loyalty sources like SalesForce, Dynamics, Sugar CRM and campaign management systems link into the Manthan platform.
  • Apart from enterprise systems, Manthan has connectors to process data from social, syndicated sources such as Nielsen, Google Analytics, weather, etc.

Connectors

Manthan has conectors to more than 400 systems covering enterprise systems, public databases, SAAS applications, files and databases.

Enterprise connectors have an understanding of the entity model of the systems and readily process data into the analytics framework, reducing the time required for enabling applications.

Manthan connectors can source data from enterpriser sources like SAP, Oracle, Navision, JDA MMS, JDA PMM, Retalix, EPICOR etc.

Loyalty sources like SalesForce, Dynamics, Sugar CRM and campaign management systems link into the Manthan platform.

Apart from enterprise systems, Manthan has connectors to process data from social, syndicated sources such as Nielsen, Google Analytics, weather, etc.

RECOMMENDED READING

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