← back to rankingM · Macy's, Inc.
Department Stores · mkt cap $5.7B · calls: Q1 FY2026 vs Q4 FY2025
53.0 conviction · conf-adj 53
conf 2/10 🚀 reported partial
enthusiasm:18.0 · trend:8 · quantifies:0 · impact:0 · under_radar:14 · credibility:12 · business_impact:4 · disruption:-6 · commitment:0 · confirmation:3
Enthusiasm latest 6 / prev 5 (rising)
Macy's AI narrative advanced modestly from Q4 FY2025 to Q1 FY2026: management moved from describing 35 use cases in development to launching a live product (Ask Macy's) and confirming AI deployment in supply chain (China Grove), with a qualitative claim of higher conversion for Ask Macy's users. However, no hard figures are attached to any AI initiative — no revenue lift, cost savings, headcount reduction, or margin contribution is disclosed — making the thesis aspirational rather than demonstrated. Management's repeated 'early days' framing and ROI-discipline language suggest measured rather than aggressive AI investment, consistent with a retailer stress-testing pilots before scaling.
MODEL CONSENSUS (impact)
partial
All verdicts, base figures, and null pcts identical between X and Y; only the granularity of the soft math list differed. Kept the more complete list.
Conflicts reconciled
- math[]: X=4 rows vs Y=7 rows -> used Y's 7-row set because it captures the forward/Hold&Flow claims too, all soft=true/null so no numeric change
| Field | Opus 4.8 | GPT-5.5 |
|---|
| Rev uplift % | – | – |
| EPS uplift % | – | – |
| Priced in | high | – |
| vs analysts | unclear | – |
| Confidence | 2 | – |
| Top line | No quantifiable topline AI uplift. Every figure management gave (over 35 use cases, ~40M customers, >70% transaction visibility, 40M loyalty members) describes the SCALE of the data/customer asset AI could leverage, not an AI-attributable revenue dollar or take-rate. With no anchored conversion/basket/retention delta, sizing a % would mean inventing it — so est_rev_uplift_pct is null. Forward statements ('significant opportunity to leverage AI… supply chain, merchandising, marketing, call centers') remain explicitly qualitative ('excited about what's to come'). | – |
| Bottom line | No quantifiable bottom-line AI uplift. The China Grove 2.5M sq ft automated DC is the closest to a cost/productivity lever, but no opex saving, throughput gain, or payback was disclosed, so no after-tax saving (saving × 0.79) can be computed; est_eps_uplift_pct is null. Note the thin-margin trap: a 2.84% net margin on $642M NI means any future saving would inflate EPS% from a tiny denominator — to be read against revenue, not the EPS base. | – |
| Reasoning | Nothing to compare numerically because management quantified scope, not impact. The consensus trajectory is DECLINING — revenue 22.62B base → 21.63B next-FY consensus (-4.4%) and EPS 2.32 → 2.19 (-5.7%) — and AI is presented only as qualitative future upside. Since there is no HARD AI figure that points above this falling baseline, there is no demonstrable un-priced AI optionality to underwrite; the AI narrative is directional, not yet modelable. (Not the 'interesting'/low-priced case — it's unquantifiable rather than clearly above consensus.) | – |
Rows highlighted where the two models disagreed.
PAST (realized)
- AI/automation already deployed at China Grove distribution center, delivering early benefits in service levels and cost efficiencies (Q1 FY2026, Edwards)
- Over 35 AI use cases reviewed by management, all designed to support how customers shop and how colleagues serve them (Q4 FY2025, Spring)
CURRENT (now)
- Ask Macy's AI-powered conversational shopping assistant launched in Q1 FY2026; early response favorable; higher conversion rate observed among users (Q1 FY2026, Spring)
- 35 active AI tests and pilots running across customer-facing, associate-support, and supply chain areas (Q1 FY2026, Edwards)
- Evaluating several AI-driven inventory forecasting and management initiatives (Q1 FY2026, Edwards)
- Exploring AI-based demand forecasting and replenishment tools as part of gross margin improvement initiatives (Q1 FY2026, Edwards)
- Building AI capabilities throughout the organization across supply chain, merchandising, marketing, and call centers (Q4 FY2025, Edwards)
- AI and data science capabilities converging with loyalty, credit card, and Macy's Media Network data on ~40 million known customers (Q4 FY2025, Edwards)
FORWARD (guidance)
- Ask Macy's to eventually scale into Ask Bloomingdale's (Q1 FY2026, Spring)
- AI to support long-term AI-driven demand forecasting and replenishment improvements contributing to gross margin expansion (Q1 FY2026, Edwards)
- AI expected to deliver meaningful opportunities to better serve customers and support colleagues across all enterprise pillars (Q1 FY2026, Spring)
- Significant opportunity to leverage AI throughout supply chain, merchandising, marketing, call centers, and omnichannel customer-facing areas (Q4 FY2025, Edwards)
TRACK RECORD — PROMISE vs DELIVERY
72/100 track record delivers 6 calls reviewed
Across six calls Macy's almost never sets quantified AI outcome targets (no % productivity, savings, or revenue-by-date); the one judgeable automation/AI milestone was China Grove's mid-2025 opening, which was delivered with stated AI/robotics capabilities but roughly one quarter late. Later AI references (generative AI in supply chain, 35+ use cases) are qualitative with no prior numbered commitments to score.
Open China Grove DC (automation/AI-enabled, 1.4M sq ft) by mid-2025 — promised Q4 FY2024
partial Opened in Q3 FY2025 with automation, robotics, and AI; management framed it as a key end-to-end milestone, though timing slipped past mid-calendar-2025 into Aug–Oct FY2025 Q3.
PRICED-IN (REFINED)
LOW (room left)Est. revisions flat · Fwd P/E 506.6 · EV/Sales 0.4x
AI claim maps to Macy's Media Network Revenue, Net, Credit Card Revenues, Net, Women's Accessories, Shoes, Cosmetics and Fragrances
Analyst ratings are stable (1–2 buys vs 10–11 holds) and forward consensus revenue/EPS step down through FY2026, so estimate momentum is not baking in an AI lift. Price targets lifted recently (lastMonthAvg $22 vs lastQuarterAvg $17.67) but the stock trades near that target on depressed multiples (EV/Sales ~0.4, P/E TTM ~8.8; ~10x on ~$2+ FY EPS, not the distorted 506x on near-zero next-FY EPS). Plausible AI upside maps mainly to small, high-margin lines like Media Network and card/merch ops, not yet reflected in rising estimates or rich valuation.
COVERAGE — ENTHUSIASM TRAJECTORY + CATALYSTS
3Q3 FY20245Q4 FY20246Q1 FY20253Q2 FY20254Q3 FY20253Q4 FY2025
AI enthusiasm across 6 calls — trend ↘ falling
One explicit generative-AI supply-chain cite in Q1; otherwise data, pricing algorithms, light personalization—no sustained conviction.
RECENT AI CATALYSTS & NEWS
BUSINESS IMPACT - QUALITATIVE MATERIALITY
5/10 qualitative impact moderate medium-term · soft evidence
Where AI matters: omnichannel discovery conversion and supply chain efficiency
Ask Macy's is live with claimed higher conversion among engagers and China Grove plus 35 pilots show real adoption, but management offers no revenue, margin, or cost savings figures and repeatedly frames results as early-day proof-of-concepts under ROI discipline.
Caveats: No disclosed KPIs or dollar impact despite 35+ pilots, so upside remains unverified against a declining revenue base; Platform-owned AI shopping agents could redirect demand before customers reach Macy's digital or store channels; Thin ~3% net margins mean even meaningful AI productivity gains may not visibly move EPS without scale
AI DISRUPTION / CANNIBALIZATION RISK two-sided · 5/10
Agentic AI shopping on platforms can disintermediate Macy's discovery and traffic while compressing associate-led selling, yet the owned-store, brand, and loyalty model is not commoditized like billable-hours services and onsite AI can still lift conversion and inventory accuracy on channels Macy's controls.
OPTIONS / MARKET STRUCTURE
option liquidity: fair
proxy inputs — dollar-ADV $153M · beta 1.503 · px $22.37
source: proxy (no options chain on FMP)
FMP /stable/ exposes no options-chain endpoint on this key, so ATM IV, bid-ask spread and open interest are unavailable. Liquidity below is a PROXY from dollar-ADV, beta and price level (a stand-in for option depth), not measured option-market data.
CONFIRMATION — INSIDERS · 13F · LANGUAGE
Mixed — insiders selling, institutions adding, management language 5/10 measured.
INSIDERS selling 22 open-market sell(s) vs 0 buy(s) — net distribution
INSTITUTIONS (13F) adding as of 2026-03-31: 61 new / 94 closed positions; 228 increased / 163 reduced; institutional ownership +4.72pp; -41 net 13F holders
MGMT LANGUAGE 5/10 measured One short AI block; 35 use cases but no outcomes or dollars; mostly building, forward-looking.
commit “we are building capabilities throughout the organization”
commit “The team has walked me through over 35 different use cases”
hedge “I'm excited about what's to come.”
VERBATIM AI QUOTES
“During the quarter, we introduced Ask Macy's, our new AI-powered conversational shopping assistant. Shaped by data and insights from thousands of colleagues, Ask Macy's creates a connected customer journey. It serves as a starting point for discovery across channels and helps deliver the best Macy's at every touch point. Although early days, initial response has been favorable.”
— Antony Spring, Q1 FY2026
“We've been testing, refining and implementing initiatives, including AI and believe there are meaningful opportunities to better serve our customers and support our colleagues.”
— Antony Spring, Q1 FY2026
“From an organizational point of view, we are leveraging AI, including evaluating several inventory forecasting and management initiatives to further improve our ability to meet customer needs.”
— Thomas Edwards, Q1 FY2026
“using new forecasting tools, which we're exploring as part of our AI initiatives on how we both forecast demand and replenishment.”
— Thomas Edwards, Q1 FY2026
“Early days. We're learning as we go. What I love seeing is the higher conversion rate for the people that are engaging with Ask Macy's because it's giving people a better prompt-driven response to the search that they're looking to complete. We're also trying to use Ask Macy's as a foundational way to help educate more of our colleagues. We view AI and humanity working together, and that creates the best possible results. But early days, pleased with the response to Ask Macy's and eventually Ask Macy's will become Ask Bloomingdale's.”
— Antony Spring, Q1 FY2026
“we have AI initiatives across the business, we have 35 tests and pilots that we're running. And we're really looking to leverage it in customer-facing, helping our associates be more effective in their roles as well as in areas like supply chain.”
— Thomas Edwards, Q1 FY2026
“Our AI strategy is our Bold New Chapter. First is we start with the Bold New Chapter. And how do we power the Bold New Chapter? It's through our belief that AI can help us drive revenue, make sure that we're giving our colleagues an easier experience and our customers a better experience, and making sure that we're creating efficiencies like in the supply chain example you were raising. So our strategy is the Bold New Chapter, and our drivers kind of come from all the different proof of concepts we have in AI.”
— Antony Spring, Q1 FY2026
“we're good stewards of returns and ROI and very cognizant that AI can be costly to implement as well as providing great benefits on the other end, and that could be helping associates in store, in the office or in the supply chain where we're already using it in places like China Grove. So we're going to keep that in mind and make sure that as we leverage it, it's leveraged in a way that makes sense from a return perspective.”
— Thomas Edwards, Q1 FY2026
“This continues to incorporate the use of AI, where we are building capabilities throughout the organization. The team has walked me through over 35 different use cases, all of which are designed to support how customers shop and how our colleagues serve them, and I'm excited about what's to come.”
— Antony Spring, Q4 FY2025
“I believe Macy's, Inc. has significant underappreciated capabilities in areas such as data science, AI and technology.”
— Thomas Edwards, Q4 FY2025
“we believe there is significant opportunity to leverage AI throughout the organization, including supply chain, merchandising, marketing and call centers as well as in customer-facing and omnichannel areas.”
— Thomas Edwards, Q4 FY2025
“our AI strategy is an opportunity to combine the improvements in technology and data science with humanity and deliver a relationship-oriented business that is focused on the consumer. Our initiatives are focused on growing the business, on providing a simpler experience for our customers and our colleagues and taking cost and driving efficiency throughout the operation. So it's not any one initiative. We are not buying shiny objects. We are solving problems and helping the overall business grow and improve the architecture of how we run the business.”
— Antony Spring, Q4 FY2025
“I look at the credit card, the Macy's Media Network and our knowledge and our capabilities in AI and data science that are all coming together, I believe, very nicely with strength to allow us to build and scale up in this area.”
— Thomas Edwards, Q4 FY2025
ANALYST QUESTIONS ON AI
Q (Q1 FY2026, Robert Drbul (BTIG)): could you spend a few minutes just on the Ask Macy's, the AI utilization, and sort of what you're seeing there throughout the business?
A: Spring: Early days; higher conversion rate for Ask Macy's engagers due to better prompt-driven responses; using Ask Macy's to educate colleagues; 'AI and humanity working together'; will eventually scale to Ask Bloomingdale's. Edwards added: 35 tests and pilots running across customer-facing, associate-support, and supply chain domains.
Q (Q1 FY2026, Oliver Chen (TD Cowen)): as we think about artificial intelligence and labor, merchandising as well as inventory, what are your -- how would you prioritize how this is going to impact the business as the pricing and supply chain is different, but equally important to the large language models? And how you're thinking about humanization of search and problem solution and agentic search optimization?
A: Spring: AI strategy subordinated to Bold New Chapter strategy; AI used to drive revenue, simplify colleague/customer experience, and create supply chain efficiencies; 'proof of concepts' underway. Edwards: ROI discipline applied to AI — 'AI can be costly to implement'; currently deployed in China Grove distribution center; will expand where returns justify it.
Q (Q4 FY2025, Oliver Chen (TD Cowen)): in the realm of AI, which -- what's live today relative to the use cases and the KPIs you're thinking of? I know AI is applying to supply chain as well as customer experience as well as marketplace. But are there thoughts in terms of how you're evaluating proof points there?
A: Spring: AI combined with data science and humanity; focused on growing the business, simplifying experiences, driving efficiency; 'We are not buying shiny objects. We are solving problems.' Edwards: AI and data science capabilities converging with credit card and Macy's Media Network data on 40 million known customers to 'build and scale up in this area.'