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Contributing significantly to the field of advanced analytics within the retail sector, Maneesha Bhalla is the VP of Enterprise Data Analytics & AI at Designer Brands and a distinguished thought leader and TEDx speaker. With a rich background spanning over 20 years, Maneesha has become a trailblazer in the application of analytics to drive strategic priorities, revenue growth, and profitability.

Her leadership role at Office Depot involved spearheading the advanced analytics team, focusing on delivering actionable insights and leveraging machine learning models. Maneesha is at the forefront of utilizing analytics in marketing, particularly in the field of personalized marketing, showcasing her expertise in harnessing data to enhance customer experiences and drive business success.

Maneeshas journey as a data leader has been dynamic, starting with a foundation in data analysis and statistics during academic years in Chemical Engineering. The journey progressed through roles at data consulting firms, emphasizing data quality. Transitioning to Target Corp, Maneesha deepened expertise in merchandise planning, supply chain optimization, and inventory management as Senior Manager in Merchandising Analytics.

In the current role as the leader of the Data and AI Centre of Excellence at Designer Brands, Maneesha combines her past experiences to build data strategy for the enterprise. She oversees data engineering/integrations, cloud data engineering, business intelligence, and AI/ML. This role allows her to leverage her careers breadth and lead talented teams, striving to enable data-driven decision-making in the organization.

Blending Passion, Learning, and Transformative Impact

Maneeshas fascination with the power of data led her to start as a business analyst, using data analytics and visualization tools to generate insights. Wanting to explore beyond descriptive analytics, she delved into the potential of Artificial Intelligence (AI) and Machine Learning (ML) to create predictive and prescriptive solutions. Believing in the future impact of AI/ML on innovation and transformation and to keep up with latest in this field, she pursued learning through online courses and certifications and completed her second masters in Analytics from Georgia tech recently.

This journey into the field of AI/ML allowed Maneesha to work on diverse and complex problems, including predicting customer behavior, optimizing operations, and developing data strategies. As a leader in analytics and AI, she has led and mentored teams, fostering a culture of customer centricity, innovation, and results. Passionate about AI and ML, Maneesha looks forward to continuing her career in this field, always eager to learn new skills and techniques to improve performance and deliver value to stakeholders.

Elevating Customer Engagement

In Maneeshas role at DBI, she led a project to create a customer 360 data layer, centralizing and aggregating customer data from multiple sources for analytics and AI/ML workloads. Her team developed user-based product recommendation algorithms, resulting in increased customer engagement and retention. Tests showed an 11% increase in overall click-through rate (CTR) and a 9% increase in total recommended style demand per recipient. She also worked on a visual search proof of concept (POC) for the mobile app, meant for customers to use images for item searches.

Exploring applications of generative AI, Maneesha aims to enhance customer experiences and improve efficiency. She is investigating language-based models for personalized customer experiences and considering applications in marketing campaign content generation, product attribution enhancement, and automated product description generation.

Maneesha is also actively involved in educating leadership and peers on the capabilities and possibilities of AI/ML and generative AI. Her team has created training materials and best practice documents for running AI/ML workloads in GCP and using generative AI studio. Generating awareness and inspiring leaders on the art of the possible has been a key impact of her work, steering several initiatives and demonstrating value for the organization.

AI in Retail

Maneesha envisions the transformative role of AI in the retail industry, anticipating several key developments:

Maneesha sees AI as a pivotal force in driving innovation and transforming the retail industry. While it promises substantial benefits in terms of enhanced customer experiences and operational efficiency, retailers must also prioritize ethical considerations to build trust and ensure the sustainable and responsible use of AI technologies.

Upholding Transparency, Fairness, Privacy, and Security

The AI council at DBI plays a crucial role in fostering a responsible and ethical approach to AI adoption. The council is committed to principles and best practices that prioritize transparency, fairness, customer privacy, and security:

By upholding these principles, the AI council at DBI establishes a framework that not only accelerates AI adoption but also ensures responsible and ethical practices in alignment with industry standards and legal requirements.

Personalized Customer Experiences in the Data Landscape

Maneeshas passion for the field of Data and Analytics is evident, and her vision for the future reflects a commitment to leveraging AI for the betterment of the community. She envisions contributing to the broader domain of data and AI by partnering with other firms and leaders to advocate for the ethical and safe use of AI. Her goal is to bring AI into everyday life, enhancing the quality of life for individuals, especially for the elderly and children. While she acknowledges the potential of AI in robotics, she sees it as a tool to complement human efforts rather than replacing them entirely.

At Designer Brands, Maneesha plans to harness generative AI and machine learning to personalize customer touchpoints and enhance efficiency across various functions such as supply chain, marketing, merchandising, and IT. The focus on foundational data is emphasized, recognizing its crucial role in the optimal functioning of AI applications. Investments in data foundation, including tooling, systems, and the semantic layer, are part of the strategy to ensure clean, curated, and accurate data.

The approach to leverage pre-trained models available in existing cloud platforms for fine-tuning on company-specific data reflects Maneeshas forward-thinking perspective on the speed and scalability of AI implementation. This approach not only streamlines the integration of AI models but also sets the stage for transformative changes in how organizations can harness the power of AI, particularly in language-based applications.

Insights and Advice for Aspiring Professionals

Maneesha provides valuable advice to AI professionals and researchers aspiring to enter the dynamic technology sector. Here are key takeaways:

This advice reflects Maneeshas understanding of the multifaceted nature of AI and emphasizes not only technical proficiency but also ethical considerations and collaborative engagement within the AI community.

Charting the Data Frontier

Maneeshas journey in the data and analytics space has been marked by a commitment to overcoming challenges and driving innovation. While the technical hurdles of advancing AI and machine learning are invigorating, Maneesha underscores the crucial nature of transforming business processes and mindsets. The transition to new technologies often encounters resistance, particularly when AI systems, viewed as black boxes, replace traditional decision-making based on experience. Maneesha advocates for managing these shifts by offering comprehensive training and reskilling programs.

Additionally, she emphasizes the necessity of staying abreast of regulatory changes, ensuring AI systems remain compliant. Lastly, Maneesha sheds light on the financial aspect, highlighting the importance of strategic planning to optimize costs associated with running AI systems and to achieve a positive return on investment. Through her experiences, Maneesha exemplifies the resilience and adaptability needed to navigate the complex landscape of data and analytics.

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Revolutionizing Retail: Approach of Maneesha Bhalla in Advanced Analytics and AI - CIO Look - CIO Look