Retail

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AI Digital Transformation

Retail

Industry

Optimize the performance of online commerce through dynamic AI systems that integrate and process, structured and unstructured data from multiple sources.

SANJAY DESHMUKH

HEAD – GLOBAL PRESALES AND PARTNERSHIPS

Sanjay literally lives the term ‘Applying the power of AI’ when it comes to solving complex and consequential business challenges, which also forms a cornerstone of his digital transformation advocacy mantra, #FindabilitySolves!
As a highly experienced Fintech executive, Sanjay uses the predictive and prescriptive power of Findability.ai solutions to deliver significant financial ROI to global businesses.

Set up a Call with Sanjay
  • 1. Solutions

  • 2. Services

Demand Forecast

  • Accurately predict key business metrics for retail industry such as store-level revenues, SKU sales, inventory movement, and daily footfall.
  • We use ‘places of interest’ data and location analytics to improve the performance of retail forecasting.

Price Prediction

  • Recommend price points that maximize the likelihood of transaction win rates to optimize revenue without compromising profit margins.
  • Machine learning technology from Findability Sciences considers historical revenue, quantity and price points, deal win rates and forecasted demand to recommend ideal price points.

 

Recommendations

  • Increase upsell, cross-sell, and audience engagement with AI-powered recommender systems from Findability Sciences.
  • Stay ahead of the competition by offering personalized customer experiences based on relevant suggestions.
  • Leveraging data about past purchases, browsing history and preferences, to generate tailored recommendations which resonate with each customer, increasing the likelihood of a purchase.

 

Propensity Prediction

  • Rank and order all the occurrences in a dataset for events such as lead conversion, customer churn, default, or fraud using the AI-powered propensity prediction technology from Findability Sciences.
  • Multi-modeling technology accounts for multiple trends within the training datasets to produce highly accurate propensity ranking scores

 

Success Stories

Findability Sciences’ AI model helped Alliance One achieve a 40% ROI

Alliance one achieved 20-30% year-over-year uplift in collections consistently over a period of two years, resulting in a 40% financial ROI for 2021.Findability Sciences helped them formulate an AI-based propensity score model to prioritize and call the most likely payers first. This partnership resulted in increased revenue for Alliance One and measurable financial impact for their customers.

Churn Management

  • Develop targeted customer retention strategies by predicting the individual risk of churn.
  • Leverage our multi-modeling propensity prediction technology to account for multiple factors such as profile details, satisfaction scores, engagement level, business volume, and industry trends.
  • Our powerful, data-driven churn prediction provides the insights needed to re-engage customers based on their risk of churn, and keep them engaged with exact targeting, perfect timing, and redefined messaging.

 

Chatbot

  • Add interactive lead-generation touchpoints to your digital properties and enable 24X7 customer support with intelligent virtual agents powered by artificial intelligence.
  • Our chatbots are capable of true NLP and NLU (Natural Language Processing & Understanding), allowing them to deliver engaging conversation experiences.
  • Findability Sciences chatbots can automate up to 30% of query management by handling FAQs and other routine questions. They also process basic service requests and provide multilingual support for better end-customer experiences.

 

Demand Forecast

  • Accurately predict key business metrics for retail industry such as store-level revenues, SKU sales, inventory movement, and daily footfall.
  • We use ‘places of interest’ data and location analytics to improve the performance of retail forecasting.

Price Prediction

  • Recommend price points that maximize the likelihood of transaction win rates to optimize revenue without compromising profit margins.
  • Machine learning technology from Findability Sciences considers historical revenue, quantity and price points, deal win rates and forecasted demand to recommend ideal price points.

 

Recommendations

  • Increase upsell, cross-sell, and audience engagement with AI-powered recommender systems from Findability Sciences.
  • Stay ahead of the competition by offering personalized customer experiences based on relevant suggestions.
  • Leveraging data about past purchases, browsing history and preferences, to generate tailored recommendations which resonate with each customer, increasing the likelihood of a purchase.

 

Propensity Prediction

  • Rank and order all the occurrences in a dataset for events such as lead conversion, customer churn, default, or fraud using the AI-powered propensity prediction technology from Findability Sciences.
  • Multi-modeling technology accounts for multiple trends within the training datasets to produce highly accurate propensity ranking scores

 

Success Stories

Findability Sciences’ AI model helped Alliance One achieve a 40% ROI

Alliance one achieved 20-30% year-over-year uplift in collections consistently over a period of two years, resulting in a 40% financial ROI for 2021.Findability Sciences helped them formulate an AI-based propensity score model to prioritize and call the most likely payers first. This partnership resulted in increased revenue for Alliance One and measurable financial impact for their customers.

Churn Management

  • Develop targeted customer retention strategies by predicting the individual risk of churn.
  • Leverage our multi-modeling propensity prediction technology to account for multiple factors such as profile details, satisfaction scores, engagement level, business volume, and industry trends.
  • Our powerful, data-driven churn prediction provides the insights needed to re-engage customers based on their risk of churn, and keep them engaged with exact targeting, perfect timing, and redefined messaging.

 

Chatbot

  • Add interactive lead-generation touchpoints to your digital properties and enable 24X7 customer support with intelligent virtual agents powered by artificial intelligence.
  • Our chatbots are capable of true NLP and NLU (Natural Language Processing & Understanding), allowing them to deliver engaging conversation experiences.
  • Findability Sciences chatbots can automate up to 30% of query management by handling FAQs and other routine questions. They also process basic service requests and provide multilingual support for better end-customer experiences.

 

Governance, Risk & Compliance

Findability Sciences helps customers cut through the biggest challenges in GRC, namely poor quality of reporting data, lack of automation, absence of an aggregated view of risk and lack of skills and expertise for executing projects.

Key Offerings Outlined

  • Findability Sciences helps clients optimize their use of GRC platforms such as IBM® OpenPages, Servicenow, and MetricStream by supplementing them with proprietary tools for NLP and Predictive AI (Findability.AI), and the trademarked CUPPTM
  • Clients can maintain better quality of data by leveraging the Wide Data framework, resulting in better predictability of the risk and compliance reporting.
  • Our skilled team of GRC experts are trained and certified in the use of third-party products such as IBM® OpenPages and Servicenow. Their strong background in data science, automation and analytics helps our clients implement and deliver GRC solutions on time and delivering measurable business Outcomes.

  • Findability Sciences works both with pre-configured GRC systems and provide customized integration services for third-party applications.
  • We help clients automate dashboards and reports in their GRC application of choice.
  • Clients can also benefit from testing and performance monitoring services for their GRC installations. Our custom-built, conversational AI based regulatory reporting can simplify the reviewing of GRC data by leadership.

1

GRC Consulting

2

GRC Applications

Success Stories

THE PROBLEM

• Multiple Data Sources which were mostly internal and not leveraging External Data Source
• Risk and compliance operations were managed via spreadsheets and manual reporting
• Lacked Timely Response both for internal Audits and Franchisee locations.

THE SOLUTION

• Implemented the Findability Sciences Wide Data to integrate Internal & External Data
• GRC tool for Audit and Compliance landscape that Automated the process.
• Hybrid Solution that had both Cloud and On Prem Access

Success Stories

THE PROBLEM

• Data definition and governance issues that have been impacting the availability of data for analysis and insight.
• Business Units and Data Generated in multiple continents with unique local governance and compliance needs

THE SOLUTION

• Implemented the FS CUPPTM Framework for Collection, Unification, Processing and Presentation of Data
• Integration of Data from large ERP & CRM Systems using FS ERP MAX

Success Stories

THE PROBLEM

• Culture of Risk not shared clearly among all the divisions and users.
• No clear Communication of Risks and Events across different stake holders.
• No real-time view of relationships between risks, controls and issues across the company

THE SOLUTION

• Built on IBM Open Pages modules used OpRisk, Policy & Compliance
• Integration of Data from internal 7 external sources using FS’s Wide Data concept
• On the Cloud

Success Stories

THE PROBLEM

• Current risk operations were managed via spreadsheets, with
reports created manually.
• Lack of timely response to the business and regulators, nor had a
total view of risk exposure across the enterprise.

THE SOLUTION

• Findability AI resolved compliance challenges with their OpenPages solution, featuring OpRisk and Policy & Compliance modules accessible on the cloud.

Data Logistics

Customizable services to ensure that the client’s data is well organized, secure, and seamlessly retrievable by key business and analytics applications.

Key Offerings Outlined

  • ‘Wide Data’ is a framework for building comprehensive data foundation by collecting and unifying a large variety of structured and unstructured data from internal and external sources.
  • Characterized by the 3 Vs – Variety, Velocity and Veracity – Wide Data serves as an effective starting point for a 360° analysis of leading indicators.
  • By leveraging Wide Data, enterprises can account for external dependencies (macroeconomic factors, holiday calendar, weather phenomena, etc.) while training the AI/ML applications.
  • Collecting wide data requires a variety of techniques, including but not limited to APIs, ETL, keywords extraction, speech-to-text, web scraping, and image annotation. Findability Sciences offers the necessary skills, methods, and tools to build robust pipelines for secure data collection.
  • Wide Data delivers a distinct advantage in terms of identifying specific information and insights from individual data components.

  • Findability Sciences delivers a unified and consistent view of enterprise data by contextually combining multiple sources.
  • Unstructured content from documents, emails, audios, images, and videos is processed using NLP (natural language processing) and Computer Vision to obtain structured data for training AI/ML algorithms.
  • Missing or ‘bad’ data is treated, multiple formats are reconciled, and an AI-ready dataset is produced after schema integration and entity resolution.
  • Data Unification forms an integral part of CUPPTM – our proprietary framework for AI solution development. CUPPTM stands for Collection, Unification, Processing & Presentation.

  • Enterprise customers rely on Findability Sciences to manage the key phases of their data pipeline, from collection to processing to storage to access.
  • Our data census and information architecture services provide detailed views of the organization’s data-scape (internal, external & third party) and help design secure pathways for relaying data to-and-fro from AI, analytics, and business applications.

1

Wide Data

2

Data Unification

3

Data Engineering

Data Modernization

A strategic initiative that brings to enterprise clients, the latest innovations in data architecture and database technologies.

Key Offerings Outlined

  • Findability Sciences offers all the technology, skills, and expertise necessary for enabling enterprise migration to modern, cloud-based data storage solutions capable of supporting AI/ML operations.
  • Seamless migration achieved through a comprehensive range of services: performance tuning, system health checks and monitoring, data backup & restoration, data purging policy implementation, data reclamation, workload management and user management.
  • Our global team of certified ETL engineers and Data Scientists is proficient in Data Cloud technologies such as IBM® Integrated Analytics System (IIAS), EnterpriseDB, SAP® HANA, and Snowflake®
  • We are currently offering an extended support service for all four models of Netezza/IBM PureData appliances, that have reached or are approaching EOS (end-of-support) dates. With our expert support, customers can continue to use their Netezza appliances without disruption.

  • The ‘Data Lake’ is a modern form of storage where data is ingested and retained in the ‘native’ form to support speedy and complex analytics operations.
  • Findability Sciences can help set up Data Lakes in Snowflake®, SAP® Hana, EnterpriseDB, Amazon Redshift, db2, Netezza® and IIAS, to organize highly voluminous and diverse data from multiple sources.

  • Realize higher efficiencies and improve process throughput with AI-led automation solutions from Findability Sciences.
  • Our proprietary multi-modeling prediction & forecasting technology is available as a plug-and-play workflow for Robotic Process Automation products.
  • In-house automation experts and tools provide frameworks and implementation support for leading platforms such as Microsoft® Power Automate, Automation Anywhere, and SAP®. Our tools enable intelligent automation for key enterprise functions such as HR & Payroll Management, Audit Reporting, and Scheduling.

1

Data Migration

2

Data Lake

3

Intelligent Automation

SAP Focused Services

This cost-effective game changer integrates all services with Findability’s AI tools to facilitate app modernization and transformation, into SAP’s S/4 HANA. This digitally empowers the enterprise to deliver actionable indicators such as better user experience, improved performance, and reduced total cost of ownership.

Key Offerings Outlined

At Findability Sciences, we understand the importance of optimizing SAP processes to ensure the long-term success of our clients’ businesses. Our approach to SAP services involves a comprehensive analysis of business requirements, the current SAP landscape, and the IT landscape to identify areas for improvement. We offer 24×7 support services, and provide SAP resources to work on-site and offshore. Additionally, we help establish a center of excellence for SAP to ensure the efficient management of SAP processes. Our goal is to facilitate a successful digital transformation of enterprise architecture by developing a roadmap that maximizes efficiency, reduces costs, and positions organizations for growth.

At Findability Sciences, we specialize in providing comprehensive SAP analysis and advisory services to help organizations achieve successful digital transformations. Our team of experts carefully assesses your business requirements, current SAP and IT landscapes, and identifies areas for improvement in existing processes and third-party applications. Our advisory and guidance service helps you develop and execute a roadmap for digital transformation, utilizing SAP technologies and other tools to streamline operations, reduce costs, and optimize growth potential. By partnering with Findability Sciences, you gain a clear understanding of your enterprise architecture and leverage expert guidance to achieve your long-term goals.

Findability Sciences offers comprehensive SAP-related services, including 24×7 support to ensure uninterrupted system functionality. Their team of SAP experts is available both on-site and offshore to provide resources for all SAP-related needs. Additionally, they can help businesses establish a centre of excellence for SAP, creating a standardized approach and providing the necessary training and documentation to enable businesses to get the most out of their SAP investments. Findability Sciences’ commitment to quality and reliability makes them an ideal partner for businesses looking to maximize the potential of their SAP systems.

1

Consulting

2

Migration to S/4 Hana

3

Support & Maintainence

Governance, Risk & Compliance

Findability Sciences helps customers cut through the biggest challenges in GRC, namely poor quality of reporting data, lack of automation, absence of an aggregated view of risk and lack of skills and expertise for executing projects.

Key Offerings Outlined

  • Findability Sciences helps clients optimize their use of GRC platforms such as IBM® OpenPages, Servicenow, and MetricStream by supplementing them with proprietary tools for NLP and Predictive AI (Findability.AI), and the trademarked CUPPTM
  • Clients can maintain better quality of data by leveraging the Wide Data framework, resulting in better predictability of the risk and compliance reporting.
  • Our skilled team of GRC experts are trained and certified in the use of third-party products such as IBM® OpenPages and Servicenow. Their strong background in data science, automation and analytics helps our clients implement and deliver GRC solutions on time and delivering measurable business Outcomes.

  • Findability Sciences works both with pre-configured GRC systems and provide customized integration services for third-party applications.
  • We help clients automate dashboards and reports in their GRC application of choice.
  • Clients can also benefit from testing and performance monitoring services for their GRC installations. Our custom-built, conversational AI based regulatory reporting can simplify the reviewing of GRC data by leadership.

1

GRC Consulting

2

GRC Applications

Success Stories

THE PROBLEM

• Multiple Data Sources which were mostly internal and not leveraging External Data Source
• Risk and compliance operations were managed via spreadsheets and manual reporting
• Lacked Timely Response both for internal Audits and Franchisee locations.

THE SOLUTION

• Implemented the Findability Sciences Wide Data to integrate Internal & External Data
• GRC tool for Audit and Compliance landscape that Automated the process.
• Hybrid Solution that had both Cloud and On Prem Access

Success Stories

THE PROBLEM

• Data definition and governance issues that have been impacting the availability of data for analysis and insight.
• Business Units and Data Generated in multiple continents with unique local governance and compliance needs

THE SOLUTION

• Implemented the FS CUPPTM Framework for Collection, Unification, Processing and Presentation of Data
• Integration of Data from large ERP & CRM Systems using FS ERP MAX

Success Stories

THE PROBLEM

• Culture of Risk not shared clearly among all the divisions and users.
• No clear Communication of Risks and Events across different stake holders.
• No real-time view of relationships between risks, controls and issues across the company

THE SOLUTION

• Built on IBM Open Pages modules used OpRisk, Policy & Compliance
• Integration of Data from internal 7 external sources using FS’s Wide Data concept
• On the Cloud

Success Stories

THE PROBLEM

• Current risk operations were managed via spreadsheets, with
reports created manually.
• Lack of timely response to the business and regulators, nor had a
total view of risk exposure across the enterprise.

THE SOLUTION

• Findability AI resolved compliance challenges with their OpenPages solution, featuring OpRisk and Policy & Compliance modules accessible on the cloud.

Data Logistics

Customizable services to ensure that the client’s data is well organized, secure, and seamlessly retrievable by key business and analytics applications.

Key Offerings Outlined

  • ‘Wide Data’ is a framework for building comprehensive data foundation by collecting and unifying a large variety of structured and unstructured data from internal and external sources.
  • Characterized by the 3 Vs – Variety, Velocity and Veracity – Wide Data serves as an effective starting point for a 360° analysis of leading indicators.
  • By leveraging Wide Data, enterprises can account for external dependencies (macroeconomic factors, holiday calendar, weather phenomena, etc.) while training the AI/ML applications.
  • Collecting wide data requires a variety of techniques, including but not limited to APIs, ETL, keywords extraction, speech-to-text, web scraping, and image annotation. Findability Sciences offers the necessary skills, methods, and tools to build robust pipelines for secure data collection.
  • Wide Data delivers a distinct advantage in terms of identifying specific information and insights from individual data components.

  • Findability Sciences delivers a unified and consistent view of enterprise data by contextually combining multiple sources.
  • Unstructured content from documents, emails, audios, images, and videos is processed using NLP (natural language processing) and Computer Vision to obtain structured data for training AI/ML algorithms.
  • Missing or ‘bad’ data is treated, multiple formats are reconciled, and an AI-ready dataset is produced after schema integration and entity resolution.
  • Data Unification forms an integral part of CUPPTM – our proprietary framework for AI solution development. CUPPTM stands for Collection, Unification, Processing & Presentation.

  • Enterprise customers rely on Findability Sciences to manage the key phases of their data pipeline, from collection to processing to storage to access.
  • Our data census and information architecture services provide detailed views of the organization’s data-scape (internal, external & third party) and help design secure pathways for relaying data to-and-fro from AI, analytics, and business applications.

1

Wide Data

2

Data Unification

3

Data Engineering

Data Modernization

A strategic initiative that brings to enterprise clients, the latest innovations in data architecture and database technologies.

Key Offerings Outlined

  • Findability Sciences offers all the technology, skills, and expertise necessary for enabling enterprise migration to modern, cloud-based data storage solutions capable of supporting AI/ML operations.
  • Seamless migration achieved through a comprehensive range of services: performance tuning, system health checks and monitoring, data backup & restoration, data purging policy implementation, data reclamation, workload management and user management.
  • Our global team of certified ETL engineers and Data Scientists is proficient in Data Cloud technologies such as IBM® Integrated Analytics System (IIAS), EnterpriseDB, SAP® HANA, and Snowflake®
  • We are currently offering an extended support service for all four models of Netezza/IBM PureData appliances, that have reached or are approaching EOS (end-of-support) dates. With our expert support, customers can continue to use their Netezza appliances without disruption.

  • The ‘Data Lake’ is a modern form of storage where data is ingested and retained in the ‘native’ form to support speedy and complex analytics operations.
  • Findability Sciences can help set up Data Lakes in Snowflake®, SAP® Hana, EnterpriseDB, Amazon Redshift, db2, Netezza® and IIAS, to organize highly voluminous and diverse data from multiple sources.

  • Realize higher efficiencies and improve process throughput with AI-led automation solutions from Findability Sciences.
  • Our proprietary multi-modeling prediction & forecasting technology is available as a plug-and-play workflow for Robotic Process Automation products.
  • In-house automation experts and tools provide frameworks and implementation support for leading platforms such as Microsoft® Power Automate, Automation Anywhere, and SAP®. Our tools enable intelligent automation for key enterprise functions such as HR & Payroll Management, Audit Reporting, and Scheduling.

1

Data Migration

2

Data Lake

3

Intelligent Automation

SAP Focused Services

This cost-effective game changer integrates all services with Findability’s AI tools to facilitate app modernization and transformation, into SAP’s S/4 HANA. This digitally empowers the enterprise to deliver actionable indicators such as better user experience, improved performance, and reduced total cost of ownership.

Key Offerings Outlined

At Findability Sciences, we understand the importance of optimizing SAP processes to ensure the long-term success of our clients’ businesses. Our approach to SAP services involves a comprehensive analysis of business requirements, the current SAP landscape, and the IT landscape to identify areas for improvement. We offer 24×7 support services, and provide SAP resources to work on-site and offshore. Additionally, we help establish a center of excellence for SAP to ensure the efficient management of SAP processes. Our goal is to facilitate a successful digital transformation of enterprise architecture by developing a roadmap that maximizes efficiency, reduces costs, and positions organizations for growth.

At Findability Sciences, we specialize in providing comprehensive SAP analysis and advisory services to help organizations achieve successful digital transformations. Our team of experts carefully assesses your business requirements, current SAP and IT landscapes, and identifies areas for improvement in existing processes and third-party applications. Our advisory and guidance service helps you develop and execute a roadmap for digital transformation, utilizing SAP technologies and other tools to streamline operations, reduce costs, and optimize growth potential. By partnering with Findability Sciences, you gain a clear understanding of your enterprise architecture and leverage expert guidance to achieve your long-term goals.

Findability Sciences offers comprehensive SAP-related services, including 24×7 support to ensure uninterrupted system functionality. Their team of SAP experts is available both on-site and offshore to provide resources for all SAP-related needs. Additionally, they can help businesses establish a centre of excellence for SAP, creating a standardized approach and providing the necessary training and documentation to enable businesses to get the most out of their SAP investments. Findability Sciences’ commitment to quality and reliability makes them an ideal partner for businesses looking to maximize the potential of their SAP systems.

1

Consulting

2

Migration to S/4 Hana

3

Support & Maintainence

Know more About Our Offerings

Contact Discover Case Studies

AI & Digital Transformation In Retail Industry

The financial services industry is no stranger to digital transformation and the impact of artificial intelligence (AI) and machine learning. In recent years, there has been a significant increase in the use of AI and machine learning in finance and insurance, transforming the way these industries operate.

In the banking sector, digital transformation has enabled financial institutions to provide personalized and customized services to their customers. AI-powered chatbots are now commonly used for customer service and assistance, while machine learning algorithms are used for credit scoring, fraud detection, and risk assessment. The insurance industry has also embraced AI and machine learning, with insurers leveraging these technologies to improve claims processing, underwriting, and risk assessment. AI-powered chatbots are also used in the insurance industry to provide real-time customer support and assistance.

The use of big data is another significant trend in the financial services industry, with financial institutions leveraging vast amounts of data to gain insights and make informed decisions. This has enabled companies to better understand customer behavior and preferences, allowing them to develop more personalized products and services.

In conclusion, the adoption of AI and machine learning in financial services and insurance has been a game-changer, transforming the way these industries operate. As technology continues to evolve, we can expect to see even more significant changes in the future, with AI and machine learning continuing to play a critical role in the digital transformation of the financial services industry.

FAQs

What is retail digital transformation?

Retail digital transformation refers to the process of integrating digital technologies into retail operations to improve customer experience, increase efficiency, and drive revenue growth. This includes everything from online shopping and mobile payments to inventory management and supply chain optimization.

How is artificial intelligence being used for retail transformation?

Artificial intelligence is being used for retail transformation in various ways, such as personalized product recommendations, demand forecasting, inventory optimization, and fraud detection. By analyzing vast amounts of data, AI can help retailers make more informed decisions and improve their operations.

What are the key challenges in implementing AI for retail?

The key challenges in implementing AI for retail include data quality, data privacy, and the need for specialized skills and knowledge. Additionally, retailers must ensure that their AI models are ethical and unbiased.

How can AI improve the customer experience in retail?

AI can improve the customer experience in retail by enabling personalized recommendations, chatbots for customer support, and real-time inventory updates. By analyzing customer behavior and preferences, AI can help retailers provide a more personalized and seamless shopping experience.

What is the future of AI in retail and what advancements can we expect to see in the coming years?

The future of AI in retail is promising, with advancements in natural language processing, computer vision, and robotics. We can expect to see more personalized and interactive shopping experiences, improved supply chain management, and increased efficiency in retail operations. Additionally, AI-powered virtual assistants and chatbots are likely to become more prevalent, providing customers with 24/7 support and assistance.