LOWLowe's Companies, Inc.
AI adoption · Q1 2026 earnings call
Consumer DiscretionaryScaling
8
extracted from this call
4 / 5
quantified with specifics
Not disclosed
no breakout in this call
Lowe's discussed AI across three strategic pillars — how they sell (customer-facing), how they shop (associate-facing), and how they work (back-end systems). Two named AI products were highlighted: Mylow, a customer-facing AI shopping assistant with over 1 million monthly inquiries and a 3x conversion lift, and Mylow Companion, an associate-facing tool with over 5 million questions asked since launch and a cited 200bps customer satisfaction improvement. Management also noted double-digit productivity gains from AI-assisted software development and flagged ongoing investment in AI for demand planning, pricing, replenishment, and assortment planning as part of the $1 billion PPI program.
Adopter
See full leaderboard →70/ 100
78
stage: scaling · max spec: 4
55
4 quant outcomes
85
3 scopes
internal_useproduct_embeddedinfrastructure_build
8 AI mentions from this call.
Extracted verbatim from the LOW Q1 2026 earnings call transcript. Speaker, section, and specificity tier surfaced for each mention.
- T4Prepared remarks· CEO· Product-embedded AI
“We're also pleased by the impact of Mylow, our AI-powered shopping assistant is having on the online shopping experience, giving our customers the ability to ask questions on recommendations budget guidance and other home improvement needs. Since launching 1 year ago, Mylow adoption has scaled meaningfully and now supporting over 1 million customer inquiries each month. Importantly, the conversion rate for online customers who use Mylow is triple that of customers who do not use the tool, suggesting a well-designed agentic AI experience can be a clear driver in the purchasing decision.”
— Marvin Ellison, LOW earnings callOpenAIMylow - T4Prepared remarks· Other· Internal use
“Over the past year, we continued to scale Mylow companion, our AI-powered tool designed to support associates on the sales floor. We've enhanced this capability with new features, including voice detect, to help associates access information more quickly and confidently. And we've expanded its language capabilities, so associates can now ask for and receive information in Spanish. Our associates are embracing this technology. In fact, they have asked more than 5 million questions through Mylow companion since its launch, reflecting strong adoption across our stores.”
— Joseph McFarland, LOW earnings callMylow Companion - T4Q&A· CEO· Internal useThere was some discussion of AI in the prepared remarks around how it's helping associates. It's also helping customers online. I'm wondering if there's -- if you can talk a little more about maybe what is out there in terms of AI, helping on your systems and your -- kind of your back-end systems and the opportunity to drive productivity there. I'm thinking kind of demand planning, pricing and promotion, replenishment, those types of things.
“we're really excited about the framework we've put around how we leverage AI, and we framed it in how we sell, how we shop and how we work. And as I mentioned, our virtual assistant Mylow and Mylow Companion built on an open AI platform has been incredibly instructive for us understanding the power of agentic commerce. As I mentioned and Joe mentioned, if you combine both associate and customer inquiries, would get roughly 2 million a month going into the system and it's learning and it's getting smarter, it's getting better, it's getting more intuitive.”
— Marvin Ellison, LOW earnings callOpenAIMylow, Mylow Companion - T4Q&A· CEO· Internal useThere was some discussion of AI in the prepared remarks around how it's helping associates. It's also helping customers online.
“you're seeing 200 basis points of customer satisfaction improvement based on the use of the companion tool.”
— Marvin Ellison, LOW earnings callMylow Companion - T3Prepared remarks· Other· Internal use
“A recent example is our launch of materials list. PROS can bring in the list in just about any format, whether a photo, handwritten note, PDF or spreadsheet, and our associates can use this tool to convert it into an actionable quote. In the past, this was a manual task, which meant generating these quotes could take days, taking associates away from serving Pro customers. Now with this AI-enabled tool, we've reduced that time from days to minutes.”
— Joseph McFarland, LOW earnings callmaterials list tool - T3Q&A· CFO· Internal useI'm thinking kind of demand planning, pricing and promotion, replenishment, those types of things. Maybe it's not a 26 deliverable, but is there something on the horizon there that we should be thinking about?
“demand planning, allocation, replenishment, our pricing and promotional platforms, assortment planning. These are all areas as we've allocated capital this year that we're investing heavily in. We're starting to see benefits the $1 billion of PPI that we've messaged starting to become more and more apportionment to these efforts in these categories.”
— Brandon Sink, LOW earnings call - T3Q&A· CEO· Internal useThere was some discussion of AI in the prepared remarks around how it's helping associates. It's also helping customers online. I'm wondering if there's -- if you can talk a little more about maybe what is out there in terms of AI, helping on your systems and your -- kind of your back-end systems and the opportunity to drive productivity there.
“our tech team is using AI tools for development and [ cold review ], and this has resulted in double-digit productivity gain.”
— Marvin Ellison, LOW earnings call - T2Prepared remarks· CFO· Infrastructure build
“Capital expenditures totaled $521 million, reflecting continued investment in our Total Home strategy, including tech-driven productivity efforts and key AI initiatives.”
— Brandon Sink, LOW earnings call
What management wouldn’t quantify.
Analyst questions where management declined to share a specific number. The pattern of refusals is often as informative as the disclosures.
- No explicit dollar figure disclosed for AI-specific revenue contribution or AI-driven cost savings in isolation.
- The $1 billion PPI target is cited as increasingly AI-driven but no precise AI share of that figure is disclosed.
- Double-digit productivity gain from AI-assisted software development cited without a specific percentage or dollar value.
- No disclosure of model provider contract terms, GPU spend, or AI-specific capex within the broader $2.5B capex guide.
- Customer satisfaction improvement of 200bps attributed to Mylow Companion but no baseline period or methodology disclosed.
- Peter Benedict (Baird) asked specifically about AI in back-end systems (demand planning, pricing, replenishment); management confirmed investment but declined to quantify near-term deliverables or financial impact.
Compare with peers.
Other companies in the same sector and at the same AI adoption stage.
Same GICS sector, all stages
Independent research, direct to your inbox.
Live data tracking and analysis. Deep research that cuts through consensus. Evidence-backed insights.