Indiana has passed earned wage access (EWA) legislation into law. “Indiana’s HEA 1125 codifies the industry’s best practices into law, including recognizing that On-Demand Pay is a unique financial product, and mandating appropriate consumer protections,” EWA provider DailyPay said. The company added that Indiana joins other states, including California, Nevada, Utah, Arkansas, Missouri, Kansas and South Carolina. Indiana’s HEA 1125 codifies the industry’s best practices into law, including recognizing that On-Demand Pay is a unique financial product, and mandating appropriate consumer protections. Indiana now joins multiple states across the country, including California, Nevada, Utah, Arkansas, Missouri, Kansas, and South Carolina, which have also taken affirmative steps to ensure appropriate regulation is in place for the product. “We applaud Indiana legislators for responding to the realities facing working people in the state and ensuring continued access to a crucial financial option with common-sense guardrails that allow consumers and businesses to benefit,” DailyPay Vice President of Public Policy Ryan Naples. The company will make its On-Demand Pay platform available to new and existing clients with operations in Canada, DailyPay said. “Expanding into Canada is a major step in our mission to better serve our multinational clients and partners and to provide On-Demand Pay to everyone, everywhere,” DailyPay Vice President of International Josh Durodola said.
dLocal’s platform enables PayPal Enterprise Payments, previously known as Braintree, cto easily accept cards and process local and alternative payment methods across Latin America, EMEA, and APAC markets
dLocal, a cross-border payment platform for emerging markets, has expanded partnership with PayPal to offer businesses access to payment processing and local payment methods in more than 40 new untapped emerging markets. By leveraging dLocal’s platform, global customers of PayPal Enterprise Payments, previously known as Braintree, can now easily accept cards and process local and alternative payment methods across Latin America, EMEA, and APAC markets without needing to establish local entities. dLocal’s platform will handle both B2B and B2C payment flows, making it easy for businesses to connect with local customers and suppliers. As a result, merchants will gain access to a number of potential benefits including: Access to new, global customers: Integration will provide businesses with quick access to new global customers without having to establish a local entity or pay cross-border fees. Lessen tech debt and complexity: Businesses looking to process in these new markets can leverage their existing PayPal Braintree’s integration – and their stored cards – to process locally with minimal engineering and integration resources required. Increased authorization rates; and One source of truth: Businesses will have access to one single platform to manage local and international payments.
Chargeflow AI-first embedded chargeback solution delivers a native chargeback solution that best suits their product experiences and user workflows for the payments ecosystem
Chargeflow has launched Chargeflow Connect . This infrastructure-agnostic solution enables any payment providers, payment facilitators, ISOs, or fraud prevention platforms to offer natively integrated, end-to-end chargeback automation, alerts, and insights. With Chargeflow Connect, payment platforms can launch a full suite of chargeback automation solutions in weeks. Whether through a hosted UI with 1-click SSO or a fully embedded, white-labeled API integration, platforms have full branding and technical flexibility to deliver a native chargeback solution that best suits their product experiences and user workflows, all backed by Chargeflow’s market-proven AI infrastructure trusted by dozens of platforms, and 15,000+ merchants worldwide, protecting 100’s of billions transactions annually. he launch of Chargeflow Connect is about enabling the entire ecosystem to solve the fast-growing, widespread friendly-fraud problem. By offering integrated chargeback management solutions with end-to-end automation, platforms unlock new revenue streams while making it effortless for merchants to stay on top of chargebacks with a streamlined process, a unified view with AI insights, and intelligent autonomous chargeback handling. It’s a win-win-win for everyone.
eBay’s new shopping agent will show up wherever a customer is in their buying journey, either by reacting to their request or through predictive messaging inline on the page
eBay is equipping customers with agentic AI capabilities to help personalize and streamline their shopping experience. The new eBay agentic AI shopping assistant delivers real-time, hyper-personalized product picks and expert guidance based on a customer’s shopping preferences as they explore the eBay site. eBay’s new shopping agent will show up wherever a customer is in their buying journey, either by reacting to their request or through predictive messaging inline on the page the user is visiting. eBay is also participating in the research preview of Operator, a new agentic AI solution from OpenAI, developer of the ChatGPT generative AI model. To use Operator, consumers describe the task they would like performed, such as locating a desired product to purchase, and Operator automatically handles the rest. On the shopper side, the retailer offers “Shop the look,” a generative AI tool that provides an immersive carousel of suggested outfits, tailored to customers’ shopping history. eBay has released a “magical” seller listing solution that uses AI to analyze, research and extrapolate details about listings from seller-provided data. The company also offers a selling tool called the “magical bulk listing tool” that leverages generative AI to let sellers upload batches of product images for which eBay will generate draft listings with suggested categories, titles, and item specifics within seconds.
Korl hyper-customize customer messaging by orchestrating an “ensemble of models” across OpenAI, Gemini and Anthropic
Startup Korl’s platform works across multiple systems to help create highly customized communications. The multi-agent, multimodal tool uses a mix of models from OpenAI, Gemini, and Anthropic to source and contextualize data. Korl’s AI agents aggregate information from across different systems — such as engineering documentation from Jira, outlines from Google Docs, designs from Figma, and project data from Salesforce — to build a multi-source view. The platform then automatically generates personalized quarterly business reviews (QBRs), renewal pitches, tailored presentations and other materials for use in important customer milestones. The company’s core differentiator is its ability to deliver “polished, customer-ready materials” such as slides, narratives and emails, “rather than merely analytics or raw insights.” Korl orchestrates an “ensemble of models” across OpenAI, Gemini and Anthropic, selecting the best model for the job at the time based on speed, accuracy and cost. The company has implemented “sophisticated fallback mechanisms” to mitigate failures. “Rather than just semantic or field-name matching, our approach evaluates additional factors like data sparsity to score and predict field matches,” said Berit Hoffmann, CEO and co-founder of Korl. To speed the process, Korl combines low-latency, high-throughput models (such as GPT-4o for rapid, context-building responses) with deeper analytical models (Claude 3.7 for more complex, customer-facing communications). “This ensures that we optimize for the best end user experience, making context-driven tradeoffs between immediacy and accuracy,” Hoffmann explained. Early indications suggest Korl can unlock at least a 1-point improvement in net revenue retention (NRR) for mid-market software companies because it uncovers previously unrealized product value and makes it easy to communicate that to customers before they churn or make renewal or expansion decisions. The platform also improves efficiency, reducing deck preparation time for each customer call from “multiple hours to minutes,” according to Hoffman.
Target is prioritizing offering more options in its checkout experience, on-trend affordable assortments, omnichannel discovery, enhanced supply chain and fulfillment capabilities, expanded Target Circle membership, and strategic partnerships
Target is sharing how customers feel about the lanes, as well as how it is adapting to the ways in which its shoppers currently prefer to engage in the checkout process. Target says the Express Self-Checkout service has created an overall faster checkout experience, with total transaction times improving by nearly 8%. Additionally, the retailer has improved its Net Promoter Score (NPS) for checkout by 5 points. At the same time, Target has opened even more traditional checkout lanes, and recently found that a greater share of guests are choosing to make their purchase through those lanes that are staffed by our team members. Adrienne Costanzo, EVP and chief stores officer said, “By giving them a few options for checking out — on their own, with a team member or even using Drive Up — we’re making their experience fast, easy and on their terms.” Elsewhere in its business, Target shared in March that it is focusing on on-trend affordable assortments, omnichannel discovery, enhanced supply chain and fulfillment capabilities, expanded Target Circle membership, and strategic partnerships. Investments in these areas aim to accelerate Target’s strategy and drive more than $15 billion in sales growth by 2030.
Parloa’s low-code interface gives businesses the ability to create AI agents equipped with prebuilt or custom skills for tasks such as routing, authentication and handling frequently asked questions
Agentic artificial intelligence for customer experience startup Parloa GmbH announced that it has raised $120 million in new funding on a $1 billion valuation to accelerate its expansion across North America and Europe, enhance its Agent Management Platform and hire international talent. Parloa offers the AI Agent Management Platform, a platform that allows enterprises to design, deploy and manage AI-powered customer service agents across various communication channels, including voice, chat and messaging. The platform works via a low-code interface that gives businesses the ability to create AI agents equipped with prebuilt or custom skills for tasks such as routing, authentication and handling frequently asked questions. The agents are flexible by design and can be tailored to specific business needs, including integration with existing systems such as Salesforce Inc., ServiceNow Inc. and Zendesk Inc. for real-time access to relevant data. To complement its core offering, Parloa provides tools, such as large-scale testing and behavior evaluation, to fine-tune responses before deployment. Once live, a customer analytics dashboard delivers the ability to monitor key performance metrics for the continuous improvement of customer interactions. Parloa’s platform also assists human agents with features like real-time translation and suggested responses. The augmentation enhances agent productivity and ensures consistent customer service quality across different languages and regions.
The Hispanic Organization of Mortgage Experts (HOME) announced the launch of La Reina, the first-ever shoe created for women in mortgage
The Hispanic Organization of Mortgage Experts (HOME) announced the launch of La Reina, the first-ever shoe created for women in mortgage. La Reina, which is Spanish for “the Queen,” was designed in partnership with AliveShoes and manufactured in Le Marche, Italy. Nicole Yelland, HOME’s chief communications and strategy officer, told that the shoe pays homage to women in the mortgage industry who often have to resort to heels at business events. Each pair of shoes features a metallic gold sole to honor Hispanic and Latino culture. Besides the sole, the shoe is black and “high-end leather intended to go well with a suit,” Yelland said. “The other part of wanting to have a shoe that honors Hispanic and Latino culture is just to help people see it right. But people can’t know what they don’t see.” “Inspired by global voices like Bad Bunny, who use their platforms to push culture forward, we are shining a light on these powerful forces and giving them the recognition they deserve,” he added. “Launching during Mother’s Day week, La Reina will continue celebrating them throughout the year.”
Electron AI, the agentic assistant for data teams and analysts generates precise, context-aware mapping logic across source systems, semantic models, and destination schemas
Reactor Data announced the production launch and immediate availability of Electron AI – the embedded conversational AI assistant designed to help data teams and analysts create powerful data mappings, transformations and pipelines. Electron acts as an intelligent co-pilot, enabling data analysts and teams to generate precise, context-aware mapping logic across source systems, semantic models, and destination schemas – all through simple conversational interactions. Electron acts as a natural-language assistant familiar with all aspects of a company’s data pipelines including sources, source schemas, multi-step transformations including complex data combinations, output configurations and destination tables. Whether a business is normalizing product titles, mapping transactional IDs, or aligning common fields across disparate sources, Electron helps brands go from request to result faster, with less friction and fewer mistakes. Key Capabilities of Reactor Data’s Electron AI: Conversational and Multilanguage Coding: Ask Electron to write complex data transformations, and it returns both Python code and simple natural language expressions. Pipeline and Context-Aware: Electron is tightly integrated with Reactor’s modular pipeline tools for source, semantic, and destination processing. Electron understands source and destination schemas and rules to offer precise, pre-validated mappings. Iterative Authoring: Electron translates natural language into mapping expressions with null handling, coalescing, formatting, and refinement based on feedback.
Magento attackers left the code dormant for six years ultimately compromising between 500 and 1,000 eCommerce websites with malicious code capable of stealing payment card information and other sensitive data
Hundreds of eCommerce sites, at least one of which is owned by a $40 billion multinational company, were impacted by a supply chain attack, Sansec reported. Cybersecurity observers believe the next major wave of enterprise breaches may not come from direct attacks but rather through trusted dependencies and third parties. The attack came from a sophisticated backdoor embedded within 21 Magento extensions concealed within license verification files. The attackers left the code dormant for six years and only activated it in April, ultimately compromising between 500 and 1,000 eCommerce websites with malicious code capable of stealing payment card information and other sensitive data. The Magento incident serves as a sign of a broader evolution in cyberattacks, from quick heists to long cons. This is espionage at the code level, and the prolonged and covert infiltration of eCommerce providers serves as a reminder of the evolving tactics employed by cybercriminals and the critical importance of proactive cybersecurity measures. A breach in an eCommerce plugin can cascade into enterprise resource planning (ERP) systems, customer relationship management (CRM) platforms and payroll software. A single compromised dependency can compromise thousands of downstream systems. The problem can be exacerbated by visibility gaps. Many enterprises struggle to maintain accurate inventories of their software components. Without knowing what’s under the hood, it’s nearly impossible to detect tampering, let alone respond swiftly when a vulnerability is disclosed. This new landscape may demand a shift in mindset. Trust-based assumptions, which were once the norm in IT supply relationships, are increasingly being replaced with “zero trust” frameworks that continuously verify and monitor every component and user. Software bills of materials (SBOMs), automated code integrity checks and secure-by-design principles are no longer optional but are becoming operational necessities.