Robot Learning Engineer

Lightspeed AI expands from insights to action with new agentic capabilities for retail. Oct 15, 2026, 08:00 ET New AI agent helps retailers automate routine work, identify next steps and approve every change MONTREAL, Oct. 15, 2026 /CNW/ - Lightspeed Commerce Inc. (NYSE: LSPD) (TSX: LSPD) ("Lightspeed" or the "Company"), the unified omnichannel platform powering ambitious retail, golf and hospitality businesses in over 100 countries, today announced new agentic capabilities within Lightspeed AI that go beyond answering questions and surfacing insights by helping retailers take action. Built for the operational complexity of modern retail, Lightspeed AI can reason across a retailer's catalog, inventory, sales and purchasing data, recommend what to do next and prepare actions for the retailer to review and approve, all within the same conversation. Retailers can use Lightspeed AI to move from insight to action in one conversation. They can ask a question, receive a recommendation and prepare a task-such as tagging unsold items as clearance, updating product information or planning an inventory transfer-for review and approval. Lightspeed AI brings together the operational context unique to physical retail, including catalog, inventory, sales and purchasing data across locations. That context enables the agent to identify low-stock products, prepare purchase orders, update product data, surface sales opportunities and move inventory toward locations where demand signals are strongest. Every action is designed to keep retailers in control. Before a change is made, Lightspeed AI shows a preview of what action it will take and waits for the retailer's explicit approval to move forward. Actions are recorded in an audit log, giving retailers a faster way to get work done without giving up visibility or accountability. "AI should make a retailer's day easier, not add another system to manage," said Dax Dasilva, Founder and Chief Executive Officer of Lightspeed. "With our newest capabilities in Lightspeed AI, retailers can ask a question, see what is happening in their business, decide what to do next and have the agent act on their behalf, in one workflow. By taking routine, often complex work off their plates, we're helping them spend more time on their stores, teams and most importantly, their customers." The new capabilities build upon Lightspeed AI's existing conversational AI experience, along with additional tools that span from AI driven content creation to operational insights. "The value of an AI agent comes from the context it has about the business and its ability to work within the systems merchants already use every day," said Bhawna Singh, Chief Technology Officer of Lightspeed. "By bringing AI together with Lightspeed's commerce data and operational workflows, we can take on increasingly complex work for retailers while keeping them in control of the decisions that matter." The new agentic capabilities within Lightspeed AI are currently being introduced to select customers through an opt-in beta, with broader availability coming soon. To learn more, visit the Lightspeed AI for retail page. About Lightspeed Lightspeed is the POS and payments platform powering businesses at the heart of communities in over 100 countries. As the partner of choice for ambitious retail, golf and hospitality entrepreneurs, Lightspeed helps businesses accelerate growth, deliver exceptional customer experiences, and run smarter across all channels and locations. With fast, flexible omnichannel technology, Lightspeed brings together point of sale, ecommerce, embedded payments, inventory, reporting, staff and supplier management, financial services, and an exclusive wholesale retail network. Backed by insights, and expert support, Lightspeed helps businesses run more efficiently and focus on what they do best. Founded in Montréal, Canada in 2005, Lightspeed is dual-listed on the New York Stock Exchange and Toronto Stock Exchange (NYSE: LSPD) (TSX: LSPD), with teams across North America, Europe, and Asia Pacific. Forward-Looking Statements This news release may include forward-looking information and forward-looking statements within the meaning of applicable securities laws ("forward-looking statements"), including information regarding Lightspeed's product offerings and planned product roadmap. Forward-looking statements are statements that are predictive in nature, depend upon or refer to future events or conditions and are identified by words such as "will", "expects", "anticipates", "intends", "plans", "believes", "estimates" or similar expressions concerning matters that are not historical facts. Such statements are based on current expectations of Lightspeed's management and inherently involve numerous risks and uncertainties, known and unknown, including economic factors. A number of risks, uncertainties and other factors may cause actual results to differ materially from the forward-looking statements contained in this news release, including, among other factors, those risk factors identified in our most recent Management's Discussion and Analysis of Financial Condition and Results of Operations, under "Risk Factors" in our most recent Annual Information Form, and in our other filings with the Canadian securities regulatory authorities and the U.S. Securities and Exchange Commission, all of which are available under our profiles on SEDAR+ at www.sedarplus.com and on EDGAR at www.sec.gov. Readers are cautioned to consider these and other factors carefully when making decisions with respect to Lightspeed's subordinate voting shares and not to place undue reliance on forward-looking statements. Forward-looking statements contained in this news release are not guarantees of future performance and, while forward-looking statements are based on certain assumptions that Lightspeed considers reasonable, actual events and results could differ materially from those expressed or implied by forward-looking statements made by Lightspeed. Except as may be expressly required by applicable law, Lightspeed does not undertake any obligation to update publicly or revise any such forward-looking statements, whether as a result of new information, future events or otherwise. SOURCE Lightspeed Commerce Inc. For further information: Lightspeed Media Relations: [email protected]; Lightspeed Investor Relations: Gus Papageorgiou, [email protected]

PoS vendor Lightspeed suffers data breach. Incident overview. Lightspeed, a prominent Canadian provider of point-of-sale (PoS) and e-commerce software, recently confirmed an unauthorized data breach affecting its systems. The incident involved external actors gaining unauthorized access to the company's internal environment, leading to the exposure of sensitive customer information. While full technical specifics regarding the exact entry point or vulnerability exploited remain under active investigation, the breach highlights a significant security failure within their infrastructure. Lightspeed has since moved to secure its systems and is cooperating with relevant authorities. The scope of the impacted customer base is currently being assessed as the company conducts a forensic review to determine the volume and nature of the compromised data, such as merchant details or transaction records. Strategic implications. This breach underscores the severe risks associated with third-party software providers in the retail and e-commerce supply chain. Because PoS systems serve as the central hub for payment processing and inventory management, any compromise of a vendor like Lightspeed has cascading effects across thousands of independent merchants. Strategically, this forces organizations to re-evaluate their reliance on single-provider ecosystems and emphasizes the necessity for rigorous vendor risk management and due diligence. The incident poses significant regulatory and compliance challenges, particularly regarding global data protection standards like GDPR or CCPA. Furthermore, such breaches undermine consumer trust in digital payment systems, potentially driving a long-term shift toward more decentralized security architectures to protect retail integrity and customer financial data. Critical insights. Security teams utilizing third-party PoS solutions must prioritize enhanced visibility into the integration points between their local environment and the vendor's cloud infrastructure. Immediate mitigation strategies include auditing API access logs, enforcing strict multifactor authentication (MFA) for all administrative accounts, and implementing network segmentation to isolate PoS terminals from the broader corporate network. Organizations should look for indicators of compromise such as anomalous outbound traffic from payment devices or unusual administrative logins during non-business hours. Future security posture should lean toward a Zero Trust model, treating all third-party connections as inherently untrusted. Best practices moving forward include continuous monitoring of vendor security posture, regular penetration testing of third-party integrations, and establishing a robust incident response plan that explicitly accounts for vendor-side security failures.

Lightspeed Commerce CEO: our study analyzed half a million AI shopping responses and revealed who gets to compete. The internet gave independent retailers a fighting chance. Is AI taking it away? For decades, the internet has promised to level the playing field for retailers. Independent businesses that once depended on customers walking through their doors gained the opportunity to reach shoppers anywhere, competing with national chains in ways that would have been unimaginable before. Now, the growing popularity of AI search with consumers threatens to reverse that progress. Who gets to compete? Early signs suggest that when it comes to AI search the playing field is far from even for retailers. New research from Vaer AI, in partnership with Lightspeed Commerce, analyzing 460,000 AI-generated shopping responses across ChatGPT and Google's AI products, found that bigger merchants have an edge from the very start. When ChatGPT included retailer names in its own web searches, 97% were large or mid-sized chains. Small and local retailers accounted for just 1-4%. What struck me most was that independent merchants weren't necessarily missing because AI couldn't find them. Large and small retailers each accounted for roughly 38% of the sources AI cited. But big chains received 52% of the top recommendations, versus just 20% for smaller businesses. Consider a shopper looking to buy office supplies in New York. Three of the six sources ChatGPT cited were small local retailers, but its first recommendation was Staples. The local options were there. They just didn't make it to the top. AI didn't overlook these businesses because it couldn't find them. It found them and recommended Staples anyway. Think about what that means for independent retailers. They've spent decades investing in their online presence, learning how to compete in search results and finding ways to reach customers without the marketing budgets of national chains. Now, they can do everything right and still lose out when AI decides which businesses to recommend. The closer a shopper gets to making a purchase, the wider the gap becomes. Smaller retailers' share of top recommendations fell from around 30% for general browsing to just 10% for specific branded products, while larger retailers' share rose from roughly 40% to 60%. The concern isn't simply that AI might steer shoppers toward bigger retailers. It's that AI could increasingly determine which businesses get the chance to compete at all. What consumers want. The irony is that this isn't necessarily what consumers want. Recent research from my company found that half of surveyed consumers would be more likely to shop locally if AI made nearby independent retailers easier to discover. When asked what AI should prioritize when making recommendations, 33% of consumers said small or local businesses, compared with just 13% who thought AI should prioritize large brands. This shows a clear disconnect between what consumers want and what AI is giving them. A shopper may truly want to support the independent bookstore or boutique down the street, but they can't choose a business they never knew existed. As AI moves closer to shopping on our behalf, this gap becomes harder to ignore. The more choices we hand over to AI, the more important it is to understand whose choices it's actually making and where it's out of alignment. What can we do before AI makes the choice for us? It may seem like the odds are already stacked against independent retailers, but invisibility isn't inevitable. Vaer AI's data shows that simply having consumers add the word "independent" to a shopping prompt more than doubled the share of small and local retailers AI recommended. It also changed where AI looked for information: the share of retailer sources coming from large national chains fell from around 44% to as low as 9%. One word. That's all it took to dramatically change which businesses AI recommended. For consumers, the lesson is simple: be specific about what you value when using AI. If you want to support independent businesses, say so in your prompt. The results suggest that the way we ask these tools to search can meaningfully influence the choices they put in front of us. But why should consumers have to know the right words to give independent retailers a fighting chance? We should also think about what the algorithm is prioritizing. If size, familiarity, or a larger digital footprint consistently push national chains to the top, we risk building a shopping experience where the biggest businesses become the default, regardless of what consumers want. AI has the potential to broaden discovery and expand our options, not narrow them. The goal should be to give consumers better choices and help them decide more easily, not quietly make those decisions on their behalf. The future of retail should include more choice, not less. As AI takes on a greater role in how we discover and buy, we need to make sure it opens doors for businesses rather than closing them. AI should help consumers find the most relevant options, not just reinforce the biggest, most visible retailers. That matters for consumers as much as it does for businesses. A healthy retail ecosystem depends on shoppers having real choice, and on businesses of every size having a real opportunity to earn their attention and dollars. As this technology evolves, we have an opportunity to be thoughtful about the kind of shopping ecosystem we want it to create. The future of retail should be one where AI makes it easier for great businesses to compete, not one where fewer businesses get the chance.