Return On AI: Operational Efficiency, Revenue Growth, and Cost Savings
Join Jen, Director of Operations at Ampersand Consulting, and Alejandro, CEO, as they dive into the critical question facing today’s leaders: How can you truly measure the ROI of your AI investments?
This episode of Looking Forward unpacks the tangible and strategic returns of AI across three focal areas—operational efficiency, revenue growth, and cost savings.
With insights from recent studies and real-world applications, discover how businesses can harness AI for not only immediate benefits but also long-term strategic gains.
Whether you’re looking to refine your AI strategy or just starting, this episode offers essential guidance on balancing immediate impacts with future potential.
In this episode of Looking Forward, Jen, Director of Operations at Ampersand Consulting, and Alejandro, CEO, explore the critical question on every business leader’s mind: How do you measure the true ROI of your AI investments?
Topics Discussed:
- Operational Efficiency: How AI-driven automation and process optimization lead to significant time and cost savings across the organization.
- Revenue Growth: Exploring how AI can identify new market opportunities, optimize pricing strategies, and drive targeted marketing efforts to expand market share.
- Cost Savings: The pros and cons of AI's impact on reducing operational costs, with a deep dive into the balance between upfront investments and long-term savings.
Key Insights:
- Real-world examples of companies that have successfully implemented AI for operational efficiency, leading to measurable gains.
- The strategic benefits of AI in driving revenue growth and expanding market presence.
- A candid discussion on the complexities of achieving cost savings through AI, including integration challenges and potential trade-offs.
References Mentioned:
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Bain & Company, “The Amazon Effect on What Consumers Value”
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BSR, “Looking Under the Hood: ORION Technology Adoption at UPS”
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Business Insider, “Why Netflix thinks its personalized recommendation engine is worth $1 billion per year”
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Capgemini, “Accelerating automotive's AI transformation: How driving AI enterprise-wide can turbo-charge organizational value”
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Cascade Strategies, “The 3 Measures of AI for ROI”
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Consumer Goods Technology, “P&G Leans Into AI for Dynamic Routing and Sourcing Optimization”
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Cut the Saas, “Beauty and the Bot: How Sephora Reimagined Customer Experience with AI”
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Datamatics, “The Cost of Bad Data and its Impact on Your B2B Sales & Marketing”
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Forbes, “Starbucks: Using Big Data, Analytics And Artificial Intelligence To Boost Performance”
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Forrester, "Outcome-Based Digital Experiences Drive Desired Outcomes For Both Consumers And Brands”
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Harvard Business Review, "How to Sustainably Scale AI Across Your Business", “The Business of Artificial Intelligence”
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IDC, "AI Integration Challenges," 2020.
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McKinsey & Company, "Driving Impact at Scale from Automation and AI"
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Walmart Global Tech, “Decking the aisles with data: How Walmart's AI-powered inventory system brightens the holidays”
- Virtasant, “Unraveling the Price Tags of Generative AI: An Investigation into Implementation Strategies and Expenses”
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