Lowe’s Deploys AI Voice Assistant for Retail Associates

Understanding Lowe’s Mylow Companion: An AI Tool for Sales Associates

In the rapidly evolving world of retail, technology plays a crucial role in enhancing customer service and improving sales efficiency. One such innovation is Lowe’s Mylow Companion, an AI tool specifically designed to assist sales associates on the floor. This article will explore what Mylow Companion is, how it works, and the benefits it brings to both employees and customers.

What is Lowe’s Mylow Companion?

Mylow Companion is Lowe’s AI assistant for store associates, not a consumer shopping bot and not the phone-based system answering incoming calls. Lowe’s introduced it as an at-scale tool for employees on the sales floor, designed to help them answer product, installation, availability, and compatibility questions in natural language while they are helping customers in real time, as described in Lowe’s press release on the rollout.

In practical terms, the tool is meant to reduce the lag between a shopper asking a detailed home-improvement question and an associate finding a useful answer. That is different from Mylow, Lowe’s customer-facing digital shopping advisor launched on Lowe’s website and app, and different again from the AI voice agents the company later tested to handle store phone calls across all locations, reported by Retail Brew.

Associates use Mylow Companion in-store as a guidance and lookup layer. Public descriptions indicate it helps with product information, inventory and availability checks, compatibility questions, and workflow support during customer conversations. Lowe’s has also said associates can interact with it in natural language, including by voice, but the company has not publicly documented every back-end system connection or every device workflow in detail.

How Does Mylow Companion Work?

Mylow Companion appears to work like a retail-specific conversational layer over Lowe’s product and store information. An associate asks a question in plain language, either typed or spoken, and the assistant returns an answer that is useful on the floor: what a product does, whether it is available, what it works with, or what installation considerations matter. Lowe’s has publicly framed the experience around natural-language help for complex home-improvement questions rather than rigid menu navigation.

Based on Lowe’s own description, the assistant likely draws from internal product data, availability information, and knowledge used to support installation and compatibility guidance. What has been confirmed is the outcome the company wants: faster, more confident answers during live customer interactions. What has not been publicly confirmed in detail is the exact technical architecture behind every response or whether each answer is generated fresh versus retrieved from structured knowledge sources.

The interaction model also matters. Lowe’s has said Mylow Companion can be used in natural language, including by voice, which places it closer to an in-store assistant than a static search bar. That does not mean it replaces the associate. The employee still interprets the answer, asks follow-up questions, and decides what recommendation fits the customer’s project.

A typical use case looks like this:

  • An associate is asked whether a specific flooring product works in a bathroom remodel.
  • The associate asks Mylow Companion about the product’s suitability, related installation concerns, and compatible materials.
  • The assistant returns a concise answer in natural language, potentially paired with availability or product-location context.
  • The associate uses that answer to guide the customer, suggest alternatives, or confirm next steps.

Other reported use cases include checking whether an item is in stock, clarifying installation requirements, and answering compatibility questions that would otherwise require searching multiple systems or tracking down a specialist. Lowe’s broader AI rollout suggests this is the core operating model: Mylow supports shoppers on digital properties, Mylow Companion supports employees in stores, and AI voice agents support call handling for incoming store calls.

Benefits of Using Mylow Companion

Implementing Mylow Companion offers several advantages for both sales associates and customers:

  • Enhanced Customer Service: With immediate access to information, associates can provide quicker and more accurate responses to customer inquiries.
  • Increased Sales Efficiency: By streamlining the sales process, associates can spend more time engaging with customers and less time searching for information.
  • Improved Employee Satisfaction: The tool reduces the burden of administrative tasks, allowing associates to focus on what they do best—helping customers.

Real-World Applications and Case Studies

The strongest public evidence for Mylow Companion is deployment scale and sustained use, not splashy trial claims. Lowe’s said it deployed Mylow Companion to associates in all of its more than 1,700 stores by May 2025, moving it well beyond a limited test. The same period also saw Lowe’s launch Mylow, its customer shopping advisor, on digital properties in March 2025, showing that the company was building AI for both employee enablement and customer assistance rather than treating AI as a one-off experiment, according to this case summary.

By early 2026, Lowe’s AI systems were being described in production terms. Reporting from Retail Brew said Lowe’s was testing AI-enabled voice agents across all stores for customer calls, with senior vice president Chandu Nair saying the company had seen good containment rates, meaning more calls were resolved without a handoff to staff. In the same reporting window, Lowe’s said Mylow and Mylow Companion together were handling about 1 million questions per month. That does not prove flawless performance, but it does show repeat, high-volume usage across the chain.

There is also one notable commercial signal from Lowe’s broader AI rollout. CEO Marvin Ellison said customers who used Mylow converted at a higher rate than the site average, as cited in the May 2025 rollout coverage. That figure relates to the customer-facing shopping assistant rather than Mylow Companion directly, but it helps explain why Lowe’s kept expanding AI across shopping, store-associate support, and voice-service workflows.

What Lowe’s has not publicly provided, at least in the sourced material used here, is a clean before-and-after productivity metric for Mylow Companion such as time saved per interaction or a verified percentage increase in associate speed. For that reason, unsupported claims about a 30% improvement are better removed than repeated.

Challenges and Considerations

While the benefits of Mylow Companion are clear, there are challenges and considerations that retailers must address when implementing AI tools. One significant concern is the training and adaptation of staff to new technologies. For Mylow Companion to be effective, associates must be comfortable using the tool and integrating it into their daily routines.

Moreover, there is the question of data privacy and security. As Mylow Companion accesses customer data and inventory information, retailers must ensure that they comply with regulations and protect sensitive information. Establishing robust security protocols and training staff on data handling practices is essential to mitigate these risks.

The Future of AI in Retail

At Lowe’s, the next phase looks less like a distant prediction and more like an expansion of systems already in use. The company now has a visible three-part AI pattern: Mylow for customer shopping help on digital channels, Mylow Companion for associates in stores, and AI voice agents for handling inbound calls at the store level. Taken together, that suggests Lowe’s is using AI to cover the full retail journey: research before a visit, assistance during the store visit, and service around store communications.

For associates, the near-term implication is not replacement but workflow compression. If Mylow Companion reliably answers routine product, availability, and compatibility questions, employees can spend less time switching between systems or hunting for information and more time helping customers make decisions. For customers, the upside is more consistent answers across channels, especially when a project starts online but ends with an in-store conversation.

The open questions are practical. Lowe’s still has to manage answer quality, staff trust, escalation paths, and the limits of AI in complex project advice. A voice-capable assistant can make support feel faster, but if it gives an uncertain answer about installation, code considerations, or product fit, a human associate still needs to step in. The long-term success of Lowe’s AI voice agents and Mylow Companion will depend less on novelty than on reliability, clear handoffs, and whether store teams see the tools as useful under real sales-floor pressure.

Frequently Asked Questions

How is Lowe’s using AI?

Lowe’s is using AI in at least three visible ways: Mylow helps customers on Lowe’s digital properties, Mylow Companion helps store associates answer questions on the sales floor, and AI voice agents are being tested to handle incoming customer calls across stores. Public reporting shows these are active operational tools, not just lab experiments.

What do AI voice agents do in a retail setting?

In retail, AI voice agents typically answer spoken questions, route requests, provide basic information, and resolve simple issues without requiring a human employee to take every call. At Lowe’s, reported use centers on handling store calls and improving containment rates, which means more customer requests are completed without transfer.

Is Mylow Companion the same thing as Lowe’s shopping assistant?

No. Mylow Companion is for associates working in stores. Mylow is the customer-facing shopping advisor on Lowe’s digital channels. They are related parts of Lowe’s AI strategy, but they serve different users and different moments in the buying journey.

Why is Lowe’s implementing AI voice agents in stores?

The business case is straightforward: stores receive high volumes of repetitive but important questions, and AI can absorb some of that traffic so employees can focus on in-person customers and more complex issues. Lowe’s public comments suggest it is pursuing this to improve response coverage, speed, and consistency across locations.

Has Lowe’s shared hard performance metrics for Mylow Companion?

Lowe’s has shared rollout scope and usage volume, including millions of questions answered, but public sources are lighter on detailed productivity benchmarks for associates. Where no verified metric is available, it is better to say the tool is widely deployed and heavily used than to invent speed improvements.

Conclusion

Lowe’s Mylow Companion represents a significant step forward in the integration of AI technology within retail. By giving sales associates faster access to real-time information and support, it can improve the customer experience while strengthening store operations. As Lowe’s continues expanding lowe's ai voice agents, its lowe's ai shopping assistant, and mylow companion, the broader lesson is that retail AI works best when each tool is designed for a specific job.

For more information on Lowe’s Mylow Companion and its impact on retail, visit Explore More….