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    Winnow

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    Sold by: Axslogic 
    Winnow stands as a best-in-class product, offering pre-programmed early warning alerting capabilities, advanced reporting, and simplified analysis across the entire business and product lifecycle for lending products. With customizable views, intuitive drill-downs, and AI-driven guided insights, Winnow streamlines the analytics process identifying key issues in the portfolio quickly and providing actionable insights to resolve them.

    Overview

    Winnow, a Lending Analytics tool, redefines and automates the Lending Analytics process at banks and financial institutions. Meticulously crafted by retail lending domain experts of Product, Risk, Credit and Finance, Winnow streamlines the management process through its exception management capabilities with its pre-built alerts, reports, and dashboards. This is a paradigm shift, from traditional exploration and discovery using BI platforms, to exception management capability of Winnow.

    Winnow stands as a best-in-class prebuilt product, equipped with detailed Pre-Programmed Algorithms as well as Dynamic Early Warning Alerting Capabilities, Advanced Reporting making complex analyses simple. Winnow covers the entire business and credit lifecycles from Acquisitions, Portfolio Growth, Revenue & Risk Management helping to build Marketing, Product, Portfolio & Collection Strategies.

    Customised views cater to various user functions, featuring drill-downs and segmentation analyses across 60+ pre-defined dimensions. Winnow, with its patented data models and pre-built multi-dimensional multi-variate reports for intuitive deep-dive analysis, reduces dependency on coders, and does not require users to go through a discovery process.

    Highlights

    • A comprehensive Retail Lending Cycle Management product; Exception Management process using alert signals, embedded early warning with contextual intelligence to identify and prioritize critical exceptions; Comes with Inbuilt Data Models; Pre-built Reports, Dashboards and Alerts; AI-Powered Intelligence for Smarter Lending Decisions turning complex data into precise, actionable insights; Advanced Analytics using Inbuilt Statistical Modelling e.g. Decision Trees without coding
    • Identify root causes for under-performance within minutes using AI; Forecast multi-segment outcomes and validate strategies with AI-driven models; Detect hidden risks and opportunities through Machine Learning; Maintain transparency and control with strong data governance
    • Pre-built Automated publishing of daily and monthly decks covering the entire lending cycle which automatically refresh with fresh data; Decks can be customised and modified easily using the Winnow drag and drop features; Alerting Framework: Preset Alerts cover the full business cycle using global expertise; Dynamic Alerts provide multi-dimensional analysis of key drivers of under-performance across multiple metrices; Account Level Alerts provide account listings based on user-set thresholds

    Details

    Delivery method

    Deployed on AWS

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    Pricing

    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    36-month contract (15)

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    Dimension
    Description
    Cost/36 months
    Platform Fee Credit Cards
    Platform Access Fee is a yearly fee which must be paid on each anniversary date of the contract starting from the first year of access for each Winnow Module. A minimum three (3) year subscription is required. The fee includes, but not limited to, all the base features of Winnow, all enhancements and upgrades made to the platform, application maintenance, issue resolution, bug fixing etc. The platform fee is chargeable separately for each module of Winnow and includes access for up to 5 named users and up to 12GB of compressed source data.
    $450,000.00
    Platform Fee Personal Loans
    Platform Access Fee is a yearly fee which must be paid on each anniversary date of the contract starting from the first year of access for each Winnow Module. A minimum three (3) year subscription is required. The fee includes, but not limited to, all the base features of Winnow, all enhancements and upgrades made to the platform, application maintenance, issue resolution, bug fixing etc. The platform fee is chargeable separately for each module of Winnow and includes access for up to 5 named users and up to 12GB of compressed source data.
    $450,000.00
    Platform Fee Mortgage Loans
    Platform Access Fee is a yearly fee which must be paid on each anniversary date of the contract starting from the first year of access for each Winnow Module. A minimum three (3) year subscription is required. The fee includes, but not limited to, all the base features of Winnow, all enhancements and upgrades made to the platform, application maintenance, issue resolution, bug fixing etc. The platform fee is chargeable separately for each module of Winnow and includes access for up to 5 named users and up to 12GB of compressed source data.
    $450,000.00
    Platform Fee Auto Loans
    Platform Access Fee is a yearly fee which must be paid on each anniversary date of the contract starting from the first year of access for each Winnow Module. A minimum three (3) year subscription is required. The fee includes, but not limited to, all the base features of Winnow, all enhancements and upgrades made to the platform, application maintenance, issue resolution, bug fixing etc. The platform fee is chargeable separately for each module of Winnow and includes access for up to 5 named users and up to 12GB of compressed source data.
    $450,000.00
    Platform Fee SME Loans
    Platform Access Fee is a yearly fee which must be paid on each anniversary date of the contract starting from the first year of access for each Winnow Module. A minimum three (3) year subscription is required. The fee includes, but not limited to, all the base features of Winnow, all enhancements and upgrades made to the platform, application maintenance, issue resolution, bug fixing etc. The platform fee is chargeable separately for each module of Winnow and includes access for up to 5 named users and up to 12GB of compressed source data.
    $450,000.00
    Score Monitoring Widget Fee (per Module)
    This widget is an addon to each of the base product modules and fees are charged for each score being monitored. The Scoring Dashboard provides buyers with a comprehensive monitoring capability of the scores deployed in their business. The variables required for each Scorecard monitoring needs to be included in the data being sent to Winnow. Winnow comes built with Kolmogorov Smirnov test (KS), Gini Coefficient, Area Under the Curve (AUC), Population and Characteristic Stability Index analyses which are recomputed and refreshed every time fresh data is ingested by Winnow. The Widget also generates charts to track the key monitoring elements visually and creates alerts in case the parameters do not adhere to benchmarked thresholds. The buyer must subscribe to the base Winnow module to get access to the widget.
    $75,000.00
    Loss Forecasting Wdget Fee (per Module)
    This widget is an addon to the base product module. It comes inbuilt with multiple statistical methods for loss prediction both at portfolio and segment level, the model can determine the best fit forecasts, and back testing validation is possible in an instant. The buyer must subscribe to the base Winnow module to get segment wise views of the portfolio. Includes 5 named user access per module.
    $60,000.00
    Revenue Forecasting Wdget Fee (per Module)
    This widget is an addon to the base product module. It comes inbuilt with multiple statistical methods for revenue prediction both at portfolio and segment level, the model can determine the best fit forecasts, and back testing validation is possible in an instant. The buyer must subscribe to the base Winnow module to get segment wise views of the portfolio. Includes 5 named user access per module.
    $60,000.00
    Collection Widget Fee (per Module)
    This widget is an addon to each of the base product modules. Winnow comes fully powered to manage the Collection workflow from complex analytics like flow analysis, roll rate analysis, bucket wise delinquency analysis, Was Is analysis, designing data driven collection strategies to managing provisions, losses, and write offs. The buyer must subscribe to the base Winnow module to get segment wise view of the delinquent portfolio. The Collection Widget captures collector productivity, efficiency and effectiveness data and correlates it to the portfolio performance at a bucket, risk segment and dimension level. Includes 5 named user access per module.
    $100,000.00
    New Named User Access Fee (per Module)
    The buyer has the option to increase the number of named users during and on the anniversary dates of the contract. They also have the flexibility to change the name/s of users with access during the contract period should a staff no longer needs access.
    $10,000.00

    Vendor refund policy

    No refunds are possible within the contracted period

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    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Support

    Vendor support

    Email address: support@axslogic.com  Support Details: Full scope of support is provided during the subscription period, including but not limited to helpdesk; bug fixing; new releases; incident of unplanned interruption. All support related items are categorised by impact (critical, high, medium, low) & severity (critical, high, medium, low) and priority of responses and response times and escalation paths are set accordingly. Security provisions are also covered in the support framework.

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