Consulting Case Interview: AI Strategy Case (W/ BCG and A&M Consultants)

Why It Matters

Adopting AI now lets legacy retailers capture critical holiday revenue, reduce labor costs, and avoid falling behind digitally savvy competitors.

Key Takeaways

• AI agents can cut $48M in service costs annually.
• Holiday season drives 40% of sales, demanding fast AI rollout.
• Build, buy, or partner evaluated on speed, control, scalability.
• Customer service and styling assistant offer highest ROI for AI pilots.
• Leadership prefers low upfront cost and quick payback.

Summary

The video walks through a mock consulting case where William Sonoma, an $8 billion home‑goods retailer, is deciding whether to introduce AI agents and, if so, whether to build, buy, or partner for the technology. The discussion centers on the urgency of capturing holiday sales—40% of annual volume occurs in an eight‑week window—and leadership’s preference for solutions with rapid payback and minimal fixed‑cost risk.

The candidate frames the decision by estimating value creation (cost reductions, revenue uplift) and the opportunity cost of inaction. Key data points include 5 million annual service chats, a 60% AI resolution rate, and labor costs of $10‑$25 per chat, yielding roughly $48 million in annual savings. An interior‑design styling assistant could double conversion from 3% to 6% on 40 million site visitors, promising significant margin gains.

Notable examples illustrate the trade‑offs: building an AI platform offers maximum control but slow time‑to‑market; buying a COTS solution delivers speed but limited customization; partnering balances speed, control, and scalability. The candidate recommends prioritizing the customer‑service agent pilot because it delivers the fastest, measurable ROI before the holiday peak.

The implication for William Sonoma—and similar legacy retailers—is clear: a buy‑or‑partner approach to AI can unlock tens of millions in cost savings and revenue growth, while positioning the brand competitively for the next wave of AI‑driven customer experiences.

Original Description

🎥 Here’s a consulting case interview focused on AI agent strategy in retail.

Williams-Sonoma, an $8B premium home retailer, is exploring how to use AI agents to modernize its customer experience. In this Deloitte-inspired case, leadership is evaluating where these tools can create the most value and whether to build, buy, or partner to bring them to life. Your firm has been hired to identify the best use cases and recommend the right execution strategy.

Watch Matthew Calvert (ex-BCG Consultant) run Ben Wilson (Director at Alvarez & Marsal, Darden MBA) through this AI strategy consulting case interview.

🎬 Video Sections:

00:00 Start

00:03 About the case

00:42 Case question

00:59 Clarifying questions

04:10 Framework

08:17 Interviewer feedback

09:03 Quantitative

19:20 Interviewer feedback

19:53 Charts & data

23:16 Interviewer feedback

23:55 Brainstorm

29:52 Interviewer feedback

30:15 Recommendation

31:56 Interviewer feedback

32:08 Conclusion

🚀 Prepping for case interviews? RocketBlocks has the best concepts, drills, and coaching to get you more consulting offers: https://www.rocketblocks.me/consulting.php?utm_source=youtube&utm_medium=video&utm_campaign=FurnishingTheFuture-yt-mock

📝 Try this case on your own and read through sample answers with the full PDF:

https://www.rocketblocks.me/full-consulting-cases/AI-strategy-retail.php?utm_source=youtube&utm_medium=video&utm_campaign=FurnishingTheFuture-yt-mock

➡️ Book a 1-on-1 coaching session with Ben here: https://www.rocketblocks.me/coaches/ben-wilson.php?utm_source=youtube&utm_medium=video&utm_campaign=FurnishingTheFuture-yt-mock

➡️ Book a 1-on-1 coaching session with Mattie here: https://www.rocketblocks.me/coaches/matthew-calvert.php?utm_source=youtube&utm_medium=video&utm_campaign=FurnishingTheFuture-yt-mock

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