For more than a decade, Forrester has been committed to researching AI and ML technologies and platforms. During my 13-year tenure at Forrester, I had the privilege of working alongside our talented AI analysts. Together, we have continuously refined our market definitions and research focus to stay aligned with emerging tech trends and business needs. In this blog, we introduce a new branding approach for the AI and ML platform market, ensuring our insights remain relevant and valuable for our clients. A Decade-Long Journey In Helping Clients Innovate With AI Here is a quick snapshot of Forrester’s coverage of AI and ML technologies and platforms: In 2015, we (kudos to Mike Gualtieri and Rowan Curran) pioneered Forrester’s research in the discriminative AI field named predictive analytics. This research helped enterprise clients by providing actionable insights to anticipate customer behavior and optimize decision-making to drive efficiency and revenue growth. In 2017, we rebranded the market as predictive analytics and machine learning in response to the rise of ML and deep learning (DL). This rebranding helped enterprise clients assess tools that also leverage advanced ML and DL techniques. In 2022, we expanded this definition to AI/ML platforms, reflecting a broader view of AI with ML/DL at the core. This offered our enterprise clients a broader perspective to adopt full-lifecycle AI/ML solutions, including integrating them seamlessly into their environment to drive AI innovation in business processes. In 2023, in the China version of AI/ML platform Forrester Wave™, we incorporated more functionalities of foundation model support to reflect the market trends of generative AI (genAI). This Chinese market research focuses on enterprise clients in China or doing business in China to harness genAI capabilities, unlocking new opportunities for content creation, automation, and personalized customer experiences. In 2024, in Forrester’s global AI/ML platform Landscape and Wave, we formally defined genAI as one core use case with dedicated evaluation criteria. We also emphasized AI readiness by incorporating DataOps into our framework. Also in 2024, we published the dedicated Landscape and Wave research on AI foundation models (FMs) for languages (AI-FML, aka large language models [LLMs]). This genAI-focused research assists enterprise clients to evaluate LLMs to help support numerous genAI use cases. Over the past 18 months, AI technology has seen remarkable advancements. FMs have emerged as a cornerstone of modern AI, driving innovation and scalability. These models have led to breakthroughs in various domains, including model algorithms, retrieval-augmented generation (RAG), AI agents, and AI hardware infrastructure. Businesses worldwide are actively experimenting with these technologies, integrating AI into various applications to enhance efficiency and drive growth. The Convergence Of AI/ML Platforms And FMs The AI/ML platform and FM markets are rapidly converging through two key trends. AI/ML platform providers are expanding their FM capabilities across the entire AI development lifecycle — from data management to model development, deployment, and AI application development (particularly in agents, app generation, and agentic workflows). These platforms are also integrating with popular third-party models to better serve developers. Meanwhile, FM vendors are broadening their offerings to include comprehensive platform features like API integration, knowledge retrieval, and agent development tools. As our research shows, enterprises typically don’t rely on a single LLM but rather integrate multiple models as essential components of their broader AI infrastructure. The convergence of AI/ML platforms and FMs signifies a profound transformation in AI adoption across four key dimensions: From discriminative tasks to more generative tasks. AI has transitioned from primarily performing predictive analytics to generating new content of various modalities. GenAI is being applied in various fields, such as content creation, customer service, document automation, and TuringBots. This trend highlights the growing importance of AI in augmenting human capabilities, automation, and expanding the boundaries of what machines can achieve. From task-specific models to FMs. Enterprise AI has evolved from specialized models requiring domain-specific training to large-scale FMs pretrained on vast datasets that can be adapted for multiple use cases through fine-tuning and prompting. These FMs function as versatile building blocks that can be customized through fine-tuning and compression techniques. Organizations can adapt these pretrained models for specific use cases without the extensive data and computational requirements of traditional training approaches. This paradigm shift has dramatically accelerated AI development cycles and optimized resource utilization, enabling rapid deployment of AI applications across diverse business contexts. From centralized deployment to heterogeneous architecture options. AI deployment has evolved from centralized approaches to a variety of heterogeneous options across multicloud, hybrid cloud, and edge. This shift offers architecture options to achieve the right balance of scalability, resilience, and adaptability. This allows AI platforms to operate efficiently in diverse and dynamic environments, respecting data gravity and optimizing performance and cost. This trend is particularly important for applications that require real-time processing and low-latency responses, such as autonomous vehicles and IoT edge workloads. From tightly prescribed behavior to greater autonomy and self-improvement. AI systems are moving from predetermined scenarios that rely heavily on human design and planning, to more autonomous approaches. With sufficient intelligence, AI agents have the potential to adapt to new scenarios through iterative learning, planning, and collaboration, making them goal-oriented, proactive, and environment-aware. This autonomy allows AI to handle complex and dynamic tasks with greater efficiency and effectiveness, reducing the need for constant human oversight. The development of autonomous AI is paving the way for advanced applications in robotics, healthcare, and other fields where adaptability and decision-making are crucial.   Rebranding The Market To “AI Platform” As a result of this convergence, starting from this year we will fold in the AI-FML into this larger platform and further evolve our market terminology into “AI platform.” We will continuously refine our research around business use cases, key functionalities, and evaluation criteria design, aiming to help our enterprise clients in refactoring or redefining your technology strategies in AI adoption. For more details, or if you would like to share your thoughts on this, please book an inquiry or guidance session with us to discuss. source

By Christopher Cole ( February 26, 2025, 7:36 PM EST) — It won’t be easy for the Federal Communications Commission to weaken tech platforms’ liability shield as some Republicans want to do, but the commission could still make changes that courts find “persuasive,” a former FCC lawyer now leading a pro-business group said on a blog Tuesday…. Law360 is on it, so you are, too. A Law360 subscription puts you at the center of fast-moving legal issues, trends and developments so you can act with speed and confidence. Over 200 articles are published daily across more than 60 topics, industries, practice areas and jurisdictions. A Law360 subscription includes features such as Daily newsletters Expert analysis Mobile app Advanced search Judge information Real-time alerts 450K+ searchable archived articles And more! Experience Law360 today with a free 7-day trial. source

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More You.com launched a new artificial intelligence research tool today that promises to transform how businesses conduct market research by analyzing hundreds of sources simultaneously and producing comprehensive reports in minutes instead of weeks. The tool, called Advanced Research & Insights agent (ARI), targets the $250-billion management consulting industry by automating the labor-intensive research process that typically requires teams of analysts to pore over documents for days or weeks. “The entire world of knowledge work is changing, and that’s a trillion-dollar-plus industry,” said Richard Socher, cofounder and CEO of You.com, in an interview with VentureBeat. “When every employee has instant access to comprehensive, validated insights that previously required teams of consultants and weeks of work, it changes the speed and quality of business decision-making.” 10x more sources: How ARI’s technical breakthrough powers enterprise research What sets ARI apart from existing AI research tools is its ability to process and analyze more than 400 sources simultaneously — roughly 10 times the number that competing systems can handle, according to the company. This capability comes from a novel approach to managing context and compressing information. “The way that we’re able to find that many sources is [that] we’re taking this iterative research approach,” Bryan McCann, cofounder and CTO of You.com, told VentureBeat. “We bring back an initial set of sources, summarize and create a first research report, and then gather even more. At each step, we’re compressing that information down so we’re only adding new things.” ARI doesn’t just compile text-based reports. The system automatically generates interactive visualizations based on the data it discovers — a feature You.com claims is unique among current AI research tools. During a demonstration, Socher showed examples of automatically generated reports on renewable energy that included interactive plots showing a variety of information. “It puts together this beautiful PDF,” Socher said. “Since it talks about energy, it includes useful plots looking at market size, market growth expectations, mix of renewables and fossil fuels, solar energy growth rates.” ‘Click to Verify’: How ARI solves AI’s accuracy problem for business users Crucially for enterprise customers, ARI provides direct source verification for every claim. Users can click on any citation and the system will highlight exactly where the information came from, making fact-checking substantially faster. “When you click on the citation, it actually scrolls down and highlights exactly where it found that fact,” Socher demonstrated. “If your career and your job depends on the facts being right, that’s very helpful.” You.com is positioning ARI primarily for enterprise customers in research-intensive industries. Early adopters include Germany’s largest medical publisher, Wort & Bild Verlag, and global consulting firm APCO Worldwide. “We already have several hundreds of active accounts from each major consulting company,” Socher noted. “We’re excited to partner with them and help them be more productive.” Dr. Dennis Ballwieser, managing director at Wort & Bild Verlag, reported that research time “has dropped from a few days to just a few hours” through using ARI, and praised the accuracy of its results across both German and English content. ARI enters an increasingly crowded marketplace for AI research tools. Recent weeks have seen announcements of DeepSeek, Claude 3.7 from Anthropic and various other research-oriented models. Socher claims ARI differentiates itself through comprehensiveness, verification capabilities and speed. “Compared to research tools from OpenAI, for instance, ARI has 10 times the sources, but at the same time, it’s three times faster,” he said. Unlike some competing systems, ARI doesn’t make decisions about which information is most trustworthy but instead presents comprehensive findings. “ARI is optimized for comprehensiveness, so if it comes across contradicting statements, it’s much more likely to just tell you this source said this, and these sources said that,” McCann explained. “It’s not really inclined to make the decision for you as to which information is the most trustworthy.” Beyond public data: how ARI integrates enterprises’ internal knowledge A key aspect of ARI’s enterprise strategy is its ability to incorporate internal company data alongside public sources — creating a bridge between an organization’s proprietary information and the broader research landscape. “The biggest thing that we’re already doing now with enterprise customers is to give ARI access to their company internal data,” Socher said. “So you get all these amazing dashboards and insights right away about your own organization.” You.com is taking an unusual approach to pricing ARI, charging per report rather than based on computational resources consumed — a strategy that aligns costs with business value rather than technical implementation. “We’re looking at pricing not by token anymore, but more on a usage basis, at the actual response level,” McCann explained. “Thinking of it more like: The final piece of collateral that comes out is the thing that you’re paying for — orders of magnitude cheaper than it would have cost in the past.” This approach reflects You.com’s belief that AI usage will follow Jevons paradox: as efficiency increases, total consumption rises rather than falls. “Of course, the training will get cheaper,” said Socher. “But at the same time, when everyone realizes [that] the more compute you give a model, the better the results get, it doesn’t even make sense to think of one model as how intelligent it is.” From research to action: ARI’s future as an autonomous business agent You.com sees ARI as just the first step in transforming how organizations approach knowledge work. The company plans to make ARI more agentic — capable of taking independent actions based on research findings. “For as long as we’ve been building it, we’ve wanted to make it more agentic,” McCann said. “If you can access almost all of the information out there about a thing, that should provide a better foundation for any decision-making on top of that information.” Socher frames You.com’s evolution around what he calls “the four A’s: accurate answers, agents and AGI.” He envisions a future when everyone becomes a manager

Presented by commercetools Digital commerce leaders are under immense pressure. Navigating an increasingly volatile market, while still delivering exceptional value and experiences to customers, is a precarious juggling act — and that’s why it’s time to go all-in on AI. It’s not just about today’s benefits; it’s about preparing for a fast-approaching future. Across industries, AI is delivering on its promise, helping companies create efficiencies while creating outstanding shopping experiences, delivering on time and unifying all touch points. It’s also on the cusp of transforming how we shop, says Dirk Hoerig, Founder and Chief Innovation Officer of commercetools. “Very soon AI will change behavior in humans, and how we interact with companies and products,” Hoerig says. “Companies need to embrace AI now, to leverage its powerful capabilities, and position themselves to take advantage of its potential when AI, not the storefront, will become the center of the customer experience.” For digital commerce, the interaction point for shoppers has always been the storefront, on every device, and a human has done the browsing, selecting, ordering and returning. But agentic shopping is on the horizon, or AI handling all those tasks on behalf of the human consumer. For retailers, that means optimizing product and customer data, pricing, inventory and more for an AI on the hunt at the direction of the human. “The AI is interacting with the brands, the manufacturers, the retailers, but this is not just about putting another layer in between the human and the company,” Hoerig says. “This is a fundamental shift in how shoppers experience brands and retailers, and it’s upending the customer journey, not to mention customer acquisition, marketing and sales tactics.” For example, retailers currently design shopping experiences around human behavior, placing upsell and cross-sell opportunities where shoppers are most likely to add extra items. However, as AI-driven shopping agents become more common, this approach may fall short. These AI shoppers, focused on finding the best product match through data, aren’t swayed by impulse buys. To offset customer acquisition costs and maintain profitability, retailers must rethink their strategies to cater to AI-driven purchasing behavior. It’s already happening, with big tech companies making moves to control the search market, which is often an entry point for shoppers. Social networks are also considering new ways to integrate commerce and product discovery into their customer experiences. The retailers with the right data, and the kind of powerful, flexible infrastructure that composable commerce provides, are positioned to pivot in the direction of agentic shoppers, Hoerig explains. A composable commerce platform gives retailers the ability to create shopping experiences across channels and touchpoints, in a cloud-native, component-based and tech-agnostic way that lets a company structure its data for any AI tool or agent. For instance, organizations with traditional, monolithic commerce platforms will need to find ways to let an agent crawl an array of functions without causing any data breaches. But composable commerce not only lets brands integrate a product catalog into the agentic web, but also allows an AI agent to make a transaction, access return information and create a customer query on behalf of the human, and more, without exposing any internal data. While agentic shopping is breaking over the horizon, AI is already changing the shopping experience here and now. Here’s a look at the AI trends brands need to know about. AI and hyper personalization “The term ‘hyper-personalization’ isn’t new; it’s been used to describe algorithmic optimizations of the product catalog, mostly based on past searches and cohort data,” Hoerig says. “With generative AI, we have a unique opportunity to personalize and tailor the whole experience in real time, from content to tone and presentation.” Generative AI can rewrite the page layout, content and wording, the assortment of products based on a customer’s direct intentions, and offer personalized interactions through chat on the application and website, based on customer context. A 50-year-old shopper will have a different vocabulary and preferred style of communication than an 18-year-old shopper, for instance. Or if you’re in a rush on a travel site, interactions can be short, sweet and transactional. If you’re browsing a beauty site, it can offer more in-depth conversation. Localization is no longer a time-consuming, expensive endeavor — for instance, a retailer won’t have to pick and choose which languages to translate and optimize for their site and content. Translation becomes efficient at scale across any language, even down to local dialects. “It’s the kind of interactions customers crave, driving better customer loyalty, and increasing engagement,” Hoerig says. “If you asked a retailer five years ago, ‘Would you customize interactions based on buyer cohorts, adjust your language and tone to better fit each category’s needs?’ They  would say that sounds like a fine idea, but they’d never do it on a large catalog. Now it’s possible.” The power of predictive operational intelligence AI can process huge sets of data in a very short time, and then come up with ways to improve critical facets of retail operations. That includes inventory optimization, fraud detection in user click behavior, demand forecasting, pricing optimization and more. Supply chain AI. Many retailers have adopted sophisticated, and expensive, demand forecasting software, with algorithms that can forecast inventory trends, offer replenishment advice and more. Adding AI into the mix makes it far less expensive to build and integrate these kinds of tools, and makes them far faster, and far more precise, nearly in real time, and for significantly less money. It even improves the customer buying experience, making tools like click-and-collect more accurate. Fraud prevention. If AI is good at anything, it’s pattern detection, which can be applied directly to fraud prevention. For instance, AI can detect anomalies in real time and determine whether your system is experiencing malicious bot traffic that’s trying to collect data and costs compute power versus an influx of interest from shoppers. Autonomous decision making. Today, it’s critical to create efficiency gains and reduce costs, which becomes more complex when scaling in any context. Combining that with the customer expectation that

GoDaddy and Wix are software solutions that help businesses create websites. These website-building platforms are similar in some ways and are used by various organizational personnel, such as website designers, social media managers, content managers, and administrative staff. The company size, technical skill level of staff, and website complexity are considerations a business will use to determine which product to purchase. The purpose of this article is to provide a comprehensive listing of the similarities and differences to help organizations make the best decision. Each product has its unique features or tool set to accomplish website-building, and this is what we will explore. 1 Zoho Sprints Employees per Company Size Micro (0-49), Small (50-249), Medium (250-999), Large (1,000-4,999), Enterprise (5,000+) Any Company Size Any Company Size Features Burn-down Charts, Epics, Kanban, and more 2 Wrike Employees per Company Size Micro (0-49), Small (50-249), Medium (250-999), Large (1,000-4,999), Enterprise (5,000+) Medium (250-999 Employees), Large (1,000-4,999 Employees), Enterprise (5,000+ Employees) Medium, Large, Enterprise Features Service Level Management Wix vs. GoDaddy comparison table Decision-makers and developers will use the table to compare categories and the features in each category to help them understand the nuances of each software solution. Wix GoDaddy Free plan Yes No Refund/money back guarantee 14 days 7 days Free trial 14 days 30 days Email hosting No Yes Customer support 24/7 support via live chat, email, and knowledge base 24/7 support via phone and chat Free domain For 1 year For 1 year Starting price $17 per month $9.99 per month For more information Wix vs. GoDaddy: Pricing The differences between Wix and GoDaddy start with pricing. Wix offers four business plans. GoDaddy’s starter package is Basic, and the other two are Premium and Commerce. Wix pricing Free plan Light: $17/month (limited to 2GB of storage). Core: $29/month (provides 50GB of storage space). Business: $36/month (comes with a 100GB storage limitation). Business Elite: $159/month (including unlimited storage space). Wix hosting prices have a decent range, which means it’s relatively easy to scale should you decide to upgrade or expand your website and services. They also have a free plan, though keep in mind that free plans are significantly limited in functionality. GoDaddy pricing Basic: $9.99/month (limited to sending 100 marketing emails a month). Premium: $14.99/month (including basic features, capable of sending 25,000 marketing emails a month). Commerce: $20.99/month (includes all Premium resources, including sending 100,000 marketing emails a month). On the other hand, GoDaddy hosting prices tend to vary based on which services you’re looking to get. The above prices are specifically their rates for the website builder, though there are other options for VPS hosting, WordPress hosting, professional emails, and eCommerce functionalities. Wix website builder and GoDaddy plans offer free domain services for one year. The other options in the pricing category are similar in pricing, discounts, and renewal rates. Wix advertises its free plan and domain services for one year, and GoDaddy offers the same, but it’s not apparent in their advertisement. Wix vs GoDaddy: Performance The performance of both website builder platforms in terms of uptime, speed, and load time are similar. Wix performance Wix’s traffic handling is rated as fair, meaning the level of support or service for this feature may not be as robust as GoDaddy’s. Wix may use only one or two traffic handling methods to address high-volume periods. Wix may also contract with a cloud provider like Amazon Web Services or Google Cloud Platform to manage traffic handling services. Wix store platform limitations 50,000 products can be uploaded manually or by CSV import Product options per product: Products can have up to 6 options Choices per product option is 100 Product features: Each product can have up to 1,000 different features An error message will be generated if any of these limits are exceeded. GoDaddy performance GoDaddy’s levels of service and support are equal to Wix’s, except for traffic handling. GoDaddy’s traffic handling is considered good. Traffic handling becomes essential when the website is saturated with visitors concurrently. High traffic can impact the website by causing it to slow down or crash. Load balancing, Content Delivery Networks (CDNs), and database optimization are methods used to address traffic handling. GoDaddy website limitations: Websites: Can have up to 50 pages, each holding up to 20 sections. File limits: Shared hosting accounts do not allow more than 500,000 files and folders. For Linux, the number is 250,000 inodes (data structures). Professional email limitation is 30MB, including attachments, but the recommendation is to keep attachments to less than 20 MB. Shared hosting recommendations are limited to ten websites, and more than ten impact server performance. GoDaddy’s performance edges out Wix’s performance in this category. Wix vs GoDaddy: General features General features are necessary resources to host a website. Bandwidth, storage, domains, and scalability are required features to host a website successfully. Wix general features Is Wix a good website creator? Wix does not focus on large-scale applications; therefore, it does not require as much bandwidth, scalability, or email hosting as GoDaddy needs. Domain management tools allow users to register, manage, and update a domain name and perform Domain Name System (DNS) record management and subdomain creation. The developer tools provide more custom coding and integration options. Wix has the same tools and options, but not to the degree that GoDaddy has. This means Wix is a lot more user-friendly, though that could mean reduced options and personalization should you eventually want to scale up. GoDaddy general features So, is GoDaddy good? GoDaddy excels in bandwidth, scalability, domain management tools, developer tools, and email hosting. Each of these features was rated as excellent or good. These general features are better than Wix because GoDaddy often supports complex or high-traffic websites, which focus on hosting services and complex server options. Businesses needing to manage a large-scale application must consider GoDaddy due to its general features. Wix vs GoDaddy: Integration and compatibility GoDaddy’s integration and compatibility features are weaker than Wix’s, but both GoDaddy and Wix excel in

Ever felt like your organization is a maze of disconnected teams, each working in its own bubble? You’re not alone. Many companies have tried to increase delivery speed with small, agile teams but have ended up with a bunch of siloed squads instead of a cohesive unit. Enter the platform org structure — an increasingly popular option to break down silos and deliver scale. Small, Autonomous Teams Have Failed To Deliver On Their Promise In their search for more customer focus and speed, many organizations have turned to the promise of small delivery teams. Multiple incarnations of small, agile team models have emerged, such as holacracy, teal, or podularity. These models have failed to deliver on their promises, however, as agile was often not embraced “end to end,” especially in larger organizations, and infrastructure and operations were kept out of the game. Hence, while expecting speed, organizations ended up with: Siloed squads: autonomous teams that became quasi-standalone entities with a build bias, duplicating efforts and creating tech debt during product development. Speedboats in molasses: teams sprinting toward deployment in an ocean of bottlenecks due to dependency sprawl and lack of reusable modular capabilities. Governance nightmares: increased bureaucracy to force alignment and resolve dependencies, adding frustration and slowing down progress. Platform Teams Complement Product Teams High-performing IT organizations are increasingly turning to platform teams to drive speed, scale, and alignment across their product teams. Consolidating shared capabilities that are consumed by multiple product teams drives scale through standardization and speed through modularity and developer experience. The result? Faster, more adaptive organizations that can compose new products and experiences with ease. Shared capabilities: Platform teams deliver shared capabilities with a product mindset, ensuring consistent governance and reducing the need for custom solutions. Speed and scale: By reusing existing platform capabilities, organizations can scale quickly and efficiently. Matrix challenges resolved: Platform teams orchestrate demand from product teams, replacing complex dependency management with streamlined prioritization. Standardization and automation: Platform teams drive standardization and automation of shared capabilities, incrementally increasing efficiency and effectiveness. But You Must Overcome These Common Challenges Of course, no model is perfect. The platform org model comes with its own set of challenges. Firstly, crafting a platform strategy is no simple task. Secondly, finding the right skills to drive a platform culture can be tricky, especially as platform teams need to walk a fine line between driving standardization and catering to the needs of product developers. But organizations that are willing to put in the work are rewarded with greater speed and scale while simultaneously driving stronger alignment around business outcomes throughout the delivery organization. The platform org model is not just another buzzword; it’s a proven model to break down silos and deliver scale. Ready to dive deeper? Check out the full report, and get in touch for a comprehensive guide to transforming your organization with platform teams. source

The realm of artificial intelligence, long a source of imaginative tales, has transitioned into a robust and evolving discipline. It’s emerging as a major catalyst for societal transformation. source

By Bryan Koenig ( February 25, 2025, 5:08 PM EST) — Kressin Meador Powers LLC partner Mark Meador walked a fine line during his confirmation hearing Tuesday when asked for his views on GOP claims of censorship on online platforms, expressing an “overarching concern” about content moderation practices while nevertheless asserting he’ll keep an open mind on specific allegations if confirmed as the Federal Trade Commission’s newest Republican member…. Law360 is on it, so you are, too. A Law360 subscription puts you at the center of fast-moving legal issues, trends and developments so you can act with speed and confidence. Over 200 articles are published daily across more than 60 topics, industries, practice areas and jurisdictions. A Law360 subscription includes features such as Daily newsletters Expert analysis Mobile app Advanced search Judge information Real-time alerts 450K+ searchable archived articles And more! Experience Law360 today with a free 7-day trial. source

The best recurring billing software can help with automating invoices, processing payments securely, and tracking subscriptions while ensuring compliance with tax regulations. Those enable you to maintain steady cash flow and improve customer retention. Here’s my list of the best recurring billing software designed to streamline payments and automate billing processes. Best overall software for integrated, scalable recurring billing features: QuickBooks Online Best for subscription-based businesses: Helcim Best for enterprises needing advanced recurring billing automation: Invoicera Best for instant access to your cash: Square Best free accounting solution with essential recurring billing support: Wave Best for medium to large businesses: Stax Bill Top recurring billing software comparison Monthly pricing Fee for recurring billing API integration Unique features QuickBooks Online From $30 for one user Varies based on payment method ✓ Full accounting suite with built-in recurring billing, sales tax automation, extensive third-party integrations Helcim No monthly fees; transparent interchange-plus pricing 2.43% to 3.18% + 25 cents ✓ Interchange-plus pricing model, no long-term contracts, built-in customer management, advanced security tools Invoicera From $19 for one user Via third-party payment channel ✓ Multibusiness invoicing, multilingual & multicurrency support, invoice approval workflows Square No monthly fees; transaction fees apply 2.6% + 10¢ to 3.5% + 15¢ ✓ Instant access to funds with Square Business Checking, POS hardware, omnichannel payment processing, AI-driven fraud detection Wave Free for 1 user; $16 for unlimited users 2.9% + 30¢ Limited to data retrieval Free invoicing & accounting, unlimited invoices, automatic expense tracking, built-in payment processing Stax Bill From $499, billed annually Via third-party payment channel ✓ Advanced subscription analytics, self-service portal, automated dunning management, deep ERP integrations QuickBooks Online: Best overall software for integrated, scalable recurring billing features Image: QuickBooks I like that QuickBooks Online combines accounting and automated recurring billing. It allows you to schedule recurring invoices, automate payments, and apply location-based sales tax for compliance across multiple jurisdictions. Seamless integration with payment processors and accounting tools ensures accurate financial tracking and reconciliation. With its scalability and automation, QuickBooks Online simplifies billing for your growing business. However, while it is excellent for managing recurring invoices, it doesn’t offer a true subscription management system like Helcim. If you have a business with a complex recurring revenue model — especially if you need automated trial conversions, prorated billing, and flexible subscription tiers — you may find QuickBooks lacking. Pricing QuickBooks Payments: Bank payments: 1% Visa, Mastercard, Discover, Amex plus digital wallets: Online payments: 2.99% Card reader: 2.5% Keyed-in cards: 3.5% Users must have a subscription to QuickBooks Online to use QuickBooks Payments and recurring billing. QuickBooks Online (all plans include recurring invoices): Simple Start: $30 per month for one user Essentials: $60 per month for three users Plus: $90 per month for five users Advanced: $200 per month for 25 users New QuickBooks Online users can choose between 50% off for three months or a 30-day free trial. Standout features Automated inventory management: Tracks stock across multiple e-commerce platforms and calculates COGS in real-time. Seamless payment integration: Integrates with QuickBooks Payments to activate and manage transactions effortlessly. Bank reconciliation: Matches received payments with actual bank deposits for accurate financial tracking, a feature often missing in lower-cost software. Smart invoicing automation: Automatically adds unbilled charges to invoices, supports customizable recurring invoice templates, and sends overdue payment reminders individually or in batches. Real-time invoice preview: Displays a live PDF version of invoices as details are entered, improving accuracy and customization. Advanced sales tax management: Automatically calculates and applies sales tax based on transaction location, ensuring compliance across multiple jurisdictions. Class and location tracking: Enables financial tracking by segment, division, or geographic location (available in QuickBooks Online Plus and Advanced). Pros & cons Pros Cons Has fully integrated recurring billing within a robust accounting system, reducing the need for third-party invoicing tools Supports unlimited clients and invoices on all plans, making it scalable for businesses of all sizes Offers customizable invoices with progress invoicing capabilities, ideal for businesses billing in stages Provides automatic sales tax calculation based on customer location, ensuring compliance for multistate or multijurisdictional operations Has no fixed per-transaction fees, making it cost-effective for businesses processing high transaction volumes Requires a QuickBooks Online subscription, with pricing that may be high for businesses needing only invoicing features Lacks a built-in subscription management system, making it less efficient for businesses with complex recurring billing needs Requires higher-tier plans to get multiple users, which could increase costs for growing teams Has a more complex initial setup compared with specialized billing solutions, requiring time for proper configuration Lacks a dedicated client portal for invoice tracking and payment management, limiting transparency for customers Helcim: Best for subscription-based businesses Image: Helcim I recommend Helcim’s Subscription Manager for businesses relying on recurring revenue, like gyms and online publications. It lets you create unlimited subscription plans with flexible pricing and billing schedules, which is great for scaling. Your customers can then sign up manually or via self-enrollment links, making the onboarding process smooth. I also like how Helcim automates free trials and prorated billing, eliminating the need for manual adjustments. What holds it back is its lack of real-time, two-way accounting integration. It offers a sync tool for QuickBooks Online, but it doesn’t provide automatic data updates, which feels like a gap. The Xero integration is even more limited, only transferring payments from Helcim invoices. That means you still have to manually enter most of your Helcim transactions into your accounting system, which adds unnecessary work. Pricing Bank payments: 0.5% plus 25 cents with a maximum of $6 Credit card payments: Online and manually keyed payments: 2.43% to 3.18% plus 25 cents In-person payments: 1.79% to 2.68% plus 8 cents Standout features Helcim Fee Saver: Lets businesses offset credit card processing costs by applying a convenience fee to customer transactions, reducing or eliminating processing expenses. Subscription management: Supports multiple subscription plans with automated free trial management, prorated billing and flexible customer onboarding through manual entry or self-enrollment links. Mobile point-of-sale solutions: Provides portable POS hardware, including

香港街市旗下自營街市遍佈全港九新界，一直為各區居民締造更便捷舒適的購物體驗，早前一連串慶祝香港街市成立12周年的優惠引來一波搶購；去年推出的「香港街市APP」，更讓忙碌的的香港人只憑一APP在手，就有「新鮮餸上門」的省時便利街市購物體驗！    「香港街市APP」面世至今受到廣大市民的支持，為答謝顧客，於2025年2月26日至3月18日期間推出限時的「$1唔只1隻雞」優惠，激抵禮遇震撼登場！    「$1唔只1隻雞」優惠涵蓋不同的食材，除了走地雞外，亦包括多款肉類及海鮮，如新鮮瘦肉、大連鮑魚、黃立倉，更有不同的新鮮生果等，每款優惠商品均以超抵震撼價 $1 發售，並由專業配送服務將「街市餸新鮮送，凍貨Chill住送」！「雞」不可失，立即搶購心水商品！  「$1唔只1隻雞」$1優惠商品  參考價  健康農場 湖北雞蛋 (12隻)  $34  健康農場 冰鮮走地雞 1隻 / 中國冰鮮走地雞1隻  $78  大連鮑魚 (12-14頭) 1隻  $14  黃立倉 (10-12兩) 1條  $36  新鮮免治豬肉 / 新鮮肉碎 半斤  $28  新鮮瘦肉 半斤  $44  富士蘋果 1個  $5  檸檬 1個  $4  甜橙 1個  $6    除了新鮮食材外，「香港街市APP」亦提供街市乾濕貨，款式包羅萬有，全部由街市檔主出貨，購買$1優惠商品之餘，同時亦可選購其他新鮮食材、急凍食品、時令生果、糧油雜貨等等，慳錢慳力直送上門！    條款及細則：  數量有限，售完即止。  此推廣只適用於指定街市。  每張訂單每款活動商品只可購買一件 （ 鮑魚、富士蘋果、檸檬、甜橙最多可購買四件） 。  每單最低消費額為$100（消費總額若未滿 $100，將收取額外的平台費用以達最低消費門檻）。  優惠受條款及細則約束，詳情請參閱香港街市APP及網店網站。  「香港街市APP」直送新鮮食材上門   「香港街市APP」服務覆蓋超過九成住宅地區，無論時令海鮮、新鮮肉類及蔬果，甚至五金用品，通通都可以透過「香港街市APP」輕鬆選購，買餸同時可以賺取積分。    「香港街巿」買餸平台網站：https://www.hkmarket.com.hk  「香港街巿APP」下載連結：https://onelink.to/hkemarketgeneral    關於香港街市  「香港街市」旗下各個街市均具備獨特而新穎的主題設計，配合完善的配套設施，包括採用開放式通道設計，建立無障礙空間、安裝空調設施等，為顧客提供舒適的購物環境。另外，隨著社會消費模式轉變，「香港街市」亦與時並進，推出各項推廣及多種現代化的創新服務，包括：全港首創街市DJ、電子會員制度、電子支付服務等，為新世代打造現代化的「智能街市」。展望未來，「香港街市」將會繼續保持傑出的管理及經營質素，並繼續提升旗下街市的質素，讓市民和商戶都能獲得「不一樣的街市體驗」。  LinkedIn Email Facebook Twitter WhatsApp source