#AI-Enabled Ordering Automation | Explore Tumblr posts and blogs

srbachchan · 25 days ago

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DAY 6274

Jalsa, Mumbai Aopr 20, 2025 Sun 11:17 pm

🪔 ,

April 21 .. birthday greetings and happiness to Ef Mousumi Biswas .. and Ef Arijit Bhattacharya from Kolkata .. 🙏🏽❤️🚩.. the wishes from the Ef family continue with warmth .. and love 🌺

The AI debate became the topic of discussion on the dining table ad there were many potent points raised - bith positive and a little indifferent ..

The young acknowledged it with reason and able argument .. some of the mid elders disagreed mildly .. and the end was kind of neutral ..

Blessed be they of the next GEN .. their minds are sorted out well in advance .. and why not .. we shall not be around till time in advance , but they and their progeny shall .. as has been the norm through generations ...

The IPL is now the greatest attraction throughout the day .. particularly on the Sunday, for the two on the day .. and there is never a debate on that ..

🤣

.. and I am most appreciative to read the comments from the Ef on the topic of the day - AI .. appreciative because some of the reactions and texts are valid and interesting to know .. the aspect expressed in all has a legitimate argument and that is most healthy ..

I am happy that we could all react to the Blog contents in the manner they have done .. my gratitude .. such a joy to get different views , valid and meaningful ..

And it is not the end of the day or the debate .. some impressions of the Gen X and some from the just passed Gen .. and some that were never ever the Gen are interesting as well :

The Printing Press (15th Century)

Fear: Scribes, monks, and elites thought it would destroy the value of knowledge, lead to mass misinformation, and eliminate jobs. Reality: It democratized knowledge, spurred the Renaissance and Reformation, and created entirely new industries—publishing, journalism, and education.

⸻

Industrial Revolution (18th–19th Century)

Fear: Machines would replace all human labor. The Luddites famously destroyed machinery in protest. Reality: Some manual labor jobs were displaced, but the economy exploded with new roles in manufacturing, logistics, engineering, and management. Overall employment and productivity soared.

⸻

Automobiles (Early 20th Century)

Fear: People feared job losses for carriage makers, stable hands, and horseshoe smiths. Cities worried about traffic, accidents, and social decay. Reality: The car industry became one of the largest employers in the world. It reshaped economies, enabled suburbia, and created new sectors like travel, road infrastructure, and auto repair.

⸻

Personal Computers (1980s)

Fear: Office workers would be replaced by machines; people worried about becoming obsolete. Reality: Computers made work faster and created entire industries: IT, software development, cybersecurity, and tech support. It transformed how we live and work.

⸻

The Internet (1990s)

Fear: It would destroy jobs in retail, publishing, and communication. Some thought it would unravel social order. Reality: E-commerce, digital marketing, remote work, and the creator economy now thrive. It connected the world and opened new opportunities.

⸻

ATMs (1970s–80s)

Fear: Bank tellers would lose their jobs en masse. Reality: ATMs handled routine tasks, but banks actually hired more tellers for customer service roles as they opened more branches thanks to reduced transaction costs.

⸻

Robotics & Automation (Factory work, 20th century–today)

Fear: Mass unemployment in factories. Reality: While some jobs shifted or ended, others evolved—robot maintenance, programming, design. Productivity gains created new jobs elsewhere.

The fear is not for losing jobs. It is the compromise of intellectual property and use without compensation. This case is slightly different.

I think AI will only make humans smarter. If we use it to our advantage.

That’s been happening for the last 10 years anyway

Not something new

You can’t control that in this day and age

YouTube & User-Generated Content (mid-2000s onward)

Initial Fear: When YouTube exploded, many in the entertainment industry panicked. The fear was that copyrighted material—music, TV clips, movies—would be shared freely without compensation. Creators and rights holders worried their content would be pirated, devalued, and that they’d lose control over distribution.

What Actually Happened: YouTube evolved to protect IP and monetize it through systems like Content ID, which allows rights holders to:

Automatically detect when their content is used

Choose to block, track, or monetize that usage

Earn revenue from ads run on videos using their IP (even when others post it)

Instead of wiping out creators or studios, it became a massive revenue stream—especially for musicians, media companies, and creators. Entire business models emerged around fair use, remixes, and reactions—with compensation built in.

Key Shift: The system went from “piracy risk” to “profit partner,” by embracing tech that recognized and enforced IP rights at scale.

This lead to higher profits and more money for owners and content btw

You just have to restructure the compensation laws and rewrite contracts

It’s only going to benefit artists in the long run ‎

Yes

They can IP it

That is the hope

It’s the spread of your content and material without you putting a penny towards it

Cannot blindly sign off everything in contracts anymore. Has to be a lot more specific.

Yes that’s for sure

“Automation hasn’t erased jobs—it’s changed where human effort goes.”

Another good one is “hard work beats talent when talent stops working hard”

Which has absolutely nothing to with AI right now but 🤣

These ladies and Gentlemen of the Ef jury are various conversational opinions on AI .. I am merely pasting them for a view and an opinion ..

And among all the brouhaha about AI .. we simply forgot the Sunday well wishers .. and so ..

my love and the length be of immense .. pardon

Amitabh Bachchan

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canmom · 1 year ago

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rn attempts to use AI in anime have mostly been generating backgrounds in a short film by Wit, and the results were pretty awful. garbage in garbage out though. the question is whether the tech can be made useful - keeping interesting artistic decisions in the hands of humans and automating the tedious parts, and giving enough artistic control to achieve a coherent direction and clean up the jank.

for example, if someone figured out how to make a really good AI inbetweener, with consistent volumes and artist control over spacing, that would be huge. inbetweening is the part of 2D animation that nobody especially wants to do if they can help it; it's relatively mindless application of principle, artistic decisions are limited (I recall Felix Colgrave saying something very witty to this effect but I don't have it to hand). but it's also really important to do well - a huge part of KyoAni's magic recipe is valuing inbetweeners and treating it as a respectable permanent position instead of a training position. good inbetweening means good movement. but everywhere outside KyoAni, it mostly gets outsourced to the bottom of the chain, mainly internationally to South Korea and the Philippines. in some anime studios it's been explicitly treated as a training position and they charge for the use of a desk if you take too long to graduate to a key animator.

some studios like Science Saru have been using vector animation in Flash to enable automated inbetweening. the results have a very distinct look - they got a lot better at it over time but it can feel quite uncanny. Blender Grease Pencil, which is also vector software, also gives you automated inbetweening, though it's rather fiddly to set up since it requires the two drawings to have the same stroke count and order, so it's best used if you've sculpted the lines rather than redrawn them.

however, most animators prefer to work in raster rather than vector, which is harder to inbetween automatically.

AI video interpolation tools also exist, though they draw a lot of ire from animators who see those '60fps anime' videos which completely shit all over the timing and spacing and ruin the feeling and weight of the animation, lack any understanding of animating on 2s/3s/4s in the source, and often create ugly incomprehensible mushy inbetweens which only work at all because they're on screen so briefly.

a better approach would be to create inbetweens earlier in the pipeline when the drawings are clean and the AI doesn't have to try to replicate compositing and photography. in theory this is a well posed problem for training a neural network, you could give it lots of examples of key drawing input and inbetween output. probably you'd need some way to inform the AI about matching features of the drawing, the way that key animators will often put a number on each lock of hair to help the inbetweener keep track of which way it's going. you'd also need a way to communicate arcs and spacing. but that all sounds pretty solvable.

this would not be good news for job security at outsourcing studios, obviously - these aren't particularly good jobs with poor pay and extreme hours, but they do keep a bunch of people housed and fed, people who are essential to anime yet already treated as disposable footnotes by the industry. it also would be another nail in the coffin of inbetweening's traditional role as a school of animation drawing skills for future key animators. on the other hand, it would be incredible news for bedroom animators, allowing much larger and more ambitious independent traditional animation - as long as the cheap compute still exists. hard to say how things would fall in the long run. ultimately the only solution is to break copies-of-art as a commodity and find another way to divert a proportion of the social surplus to artistic expression.

i feel like this kind of tool will exist sooner or later. not looking forward to the discourse bomb when the first real AI-assisted anime drops lmao

#ai #anime

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jcmarchi · 3 days ago

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Stackpack Secures $6.3M to Reinvent Vendor Management in an AI-Driven Business Landscape

New Post has been published on https://thedigitalinsider.com/stackpack-secures-6-3m-to-reinvent-vendor-management-in-an-ai-driven-business-landscape/

Stackpack Secures $6.3M to Reinvent Vendor Management in an AI-Driven Business Landscape

In a world where third-party tools, services, and contractors form the operational backbone of modern companies, Stackpack has raised $6.3 million to bring order to the growing complexity.

Led by Freestyle Capital, the funding round includes support from Elefund, Upside Partnership, Nomad Ventures, Layout Ventures, MSIV Fund, and strategic angels from Intuit, Workday, Affirm, Snapdocs, and xAI.

The funding supports Stackpack’s mission to redefine how businesses manage their expanding vendor networks—an increasingly vital task as organizations now juggle hundreds or even thousands of external partners and platforms.

Turning Chaos into Control

Founded in 2023 by Sara Wyman, formerly of Etsy and Affirm, Stackpack was built to solve a problem she knew too well: modern companies are powered by vendors, yet most still track them with outdated methods—spreadsheets, scattered documents, and guesswork. With SaaS stacks ballooning and AI tools proliferating, unmanaged vendors become silent liabilities.

“Companies call themselves ‘people-first,’ but in reality, they’re becoming ‘vendor-first,’” said Wyman. “There are often 6x more vendors than employees. Yet there’s no system of record to manage that shift—until now.”

Stackpack gives finance and IT teams a unified, AI-powered dashboard that provides real-time visibility into vendor contracts, spend, renewals, and compliance risks. The platform automatically extracts key contract terms like auto-renewal clauses, flags overlapping subscriptions, and even predicts upcoming renewals buried deep in PDFs.

AI That Works Like a Virtual Vendor Manager

Stackpack’s Behavioral AI Engine acts as an intelligent assistant, surfacing hidden cost-saving opportunities, compliance risks, and critical dates. It not only identifies inefficiencies—it takes action, issuing alerts, initiating workflows, and providing recommendations across the vendor lifecycle.

For instance:

Renewal alerts prevent surprise charges.

Spend tracking identifies underused or duplicate tools.

Contract intelligence extracts legal and pricing terms from uploads or integrations with tools like Google Drive.

Approval workflows streamline onboarding and procurement.

This brings the kind of automation once reserved for enterprise procurement platforms like Coupa or SAP to startups and mid-sized businesses—at a fraction of the cost.

A Timely Solution for a Growing Problem

Vendor management has become a boardroom issue. As more companies shift budgets from headcount to outsourced services, compliance and financial oversight have become harder to maintain. Stackpack’s early traction is proof of demand: just months after launch, it’s managing over 10,500 vendors and $510 million in spend across more than 50 customers, including Every Man Jack, Rho, Density, HouseRx, Fexa, and ZeroEyes.

“The CFO is the one left holding the bag when things go wrong,” said Brandon Lee, Accounting Manager at BizzyCar. “Stackpack means we don’t have to cross our fingers every quarter.”

Beyond Visibility: Enabling Smarter Vendor Decisions

Alongside its core platform, Stackpack is launching Requests & Approvals, a lightweight tool to simplify vendor onboarding and purchasing decisions—currently in beta. The feature is already attracting customers looking for faster, more agile alternatives to traditional procurement systems.

With a long-term vision to help companies not only manage but discover and evaluate vendors more strategically, Stackpack is laying the groundwork for a smarter, interconnected vendor ecosystem.

“Every vendor decision carries legal, financial, and security consequences,” said Dave Samuel, General Partner at Freestyle Capital. “Stackpack is building the intelligent infrastructure to manage these relationships proactively.”

The Future of Vendor Operations

As third-party ecosystems grow in size and complexity, Stackpack aims to transform vendor operations from a liability into a competitive advantage. Its AI-powered approach gives companies a modern operating system for vendor management—one that’s scalable, proactive, and deeply integrated into finance and operations.

“This isn’t just about cost control—it’s about running a smarter company,” said Wyman. “Managing your vendors should be as strategic as managing your talent. We’re giving companies the tools to make that possible.”

With fresh funding and a rapidly expanding customer base, Stackpack is poised to become the new standard for how modern businesses manage the partners powering their growth.

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nsimsouthex233 · 13 days ago

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Digital Marketing Skills to Learn in 2025

Key Digital Marketing Skills to Learn in 2025 to Stay Ahead of Competition The digital marketing landscape in 2025 is rapidly changing, driven by the technological advancements, shifting consumer behavior, and the growing power of artificial intelligence. Competition and career resilience require acquiring expertise in the following digital marketing skills.

Data Analysis and Interpretation

Data is the backbone of modern marketing strategies. The ability to collect, analyze, and make informed decisions based on large sets of data sets great marketers apart. Proficiency in analytical software like Google Analytics and AI-driven tools is critical in measuring campaign performance, optimizing strategies, and making data-driven decisions. Predictive analytics and customer journey mapping are also becoming more critical for trend spotting and personalization of user experience.

Search Engine Optimization (SEO) and Search Engine Marketing (SEM)

SEO is still a fundamental skill, but the landscape is evolving. The marketer now has to optimize for traditional search engines, voice search, and even social media, as Gen Z increasingly relies on TikTok and YouTube as search tools. Keeping up with algorithm updates, keyword research skills, and technical SEO skills is essential to staying visible and driving organic traffic.

Artificial Intelligence (AI) and Machine Learning (ML)

AI and ML are revolutionizing digital marketing through the power to enable advanced targeting, automation, and personalization. Marketers will need to leverage AI in order to segment audiences, design content, deploy predictive analytics, and build chatbots. Most crucial will be understanding how to balance AI-based automation with human, authentic content.

Content Generation and Storytelling

Content is still king. Marketers must be great at creating great copy, video, and interactive content that is appropriate for various platforms and audiences. Emotionally resonant storytelling and brand affection are more critical than ever, particularly as human-created content trumps AI-created content consistently.

Social Media Strategy and Social Commerce Social media is still the foremost driver of digital engagement. Mastering techniques constructed for specific platforms—such as short-form video, live stream, and influencing with influencers—is critical. How to facilitate direct sales through social commerce, built on combining commerce and social interactions, is an area marketers must master.

Marketing Automation

Efficiency is the most critical in 2025. Marketing automation platforms (e.g., Marketo and HubSpot) enable marketers to automate repetitive tasks, nurture leads, and personalize customer journeys at scale.

UX/UI Design Principles

A seamless user experience and a pleasing design can either make or destroy online campaigns. Having UX/UI basics in your knowledge and collaborating with design teams ensures that marketing campaigns are both effective and engaging.

Ethical Marketing and Privacy Compliance

With data privacy emerging as a pressing issue, marketers must stay updated on laws like GDPR and CCPA. Ethical marketing and openness foster trust and avoid legal issues.

To lead in 2025, digital marketers will have to fuse technical skills, creativity, and flexibility. By acquiring these high-impact capabilities-data analysis, SEO, AI, content development, social strategy, automation, UX/UI, and ethical marketing-you'll be at the edge of the constantly evolving digital space

#digital marketing

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govindhtech · 1 month ago

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Google Cloud’s BigQuery Autonomous Data To AI Platform

BigQuery automates data analysis, transformation, and insight generation using AI. AI and natural language interaction simplify difficult operations.

The fast-paced world needs data access and a real-time data activation flywheel. Artificial intelligence that integrates directly into the data environment and works with intelligent agents is emerging. These catalysts open doors and enable self-directed, rapid action, which is vital for success. This flywheel uses Google's Data & AI Cloud to activate data in real time. BigQuery has five times more organisations than the two leading cloud providers that just offer data science and data warehousing solutions due to this emphasis.

Examples of top companies:

With BigQuery, Radisson Hotel Group enhanced campaign productivity by 50% and revenue by over 20% by fine-tuning the Gemini model.

By connecting over 170 data sources with BigQuery, Gordon Food Service established a scalable, modern, AI-ready data architecture. This improved real-time response to critical business demands, enabled complete analytics, boosted client usage of their ordering systems, and offered staff rapid insights while cutting costs and boosting market share.

J.B. Hunt is revolutionising logistics for shippers and carriers by integrating Databricks into BigQuery.

General Mills saves over $100 million using BigQuery and Vertex AI to give workers secure access to LLMs for structured and unstructured data searches.

Google Cloud is unveiling many new features with its autonomous data to AI platform powered by BigQuery and Looker, a unified, trustworthy, and conversational BI platform:

New assistive and agentic experiences based on your trusted data and available through BigQuery and Looker will make data scientists, data engineers, analysts, and business users' jobs simpler and faster.

Advanced analytics and data science acceleration: Along with seamless integration with real-time and open-source technologies, BigQuery AI-assisted notebooks improve data science workflows and BigQuery AI Query Engine provides fresh insights.

Autonomous data foundation: BigQuery can collect, manage, and orchestrate any data with its new autonomous features, which include native support for unstructured data processing and open data formats like Iceberg.

Look at each change in detail.

User-specific agents

It believes everyone should have AI. BigQuery and Looker made AI-powered helpful experiences generally available, but Google Cloud now offers specialised agents for all data chores, such as:

Data engineering agents integrated with BigQuery pipelines help create data pipelines, convert and enhance data, discover anomalies, and automate metadata development. These agents provide trustworthy data and replace time-consuming and repetitive tasks, enhancing data team productivity. Data engineers traditionally spend hours cleaning, processing, and confirming data.

The data science agent in Google's Colab notebook enables model development at every step. Scalable training, intelligent model selection, automated feature engineering, and faster iteration are possible. This agent lets data science teams focus on complex methods rather than data and infrastructure.

Looker conversational analytics lets everyone utilise natural language with data. Expanded capabilities provided with DeepMind let all users understand the agent's actions and easily resolve misconceptions by undertaking advanced analysis and explaining its logic. Looker's semantic layer boosts accuracy by two-thirds. The agent understands business language like “revenue” and “segments” and can compute metrics in real time, ensuring trustworthy, accurate, and relevant results. An API for conversational analytics is also being introduced to help developers integrate it into processes and apps.

In the BigQuery autonomous data to AI platform, Google Cloud introduced the BigQuery knowledge engine to power assistive and agentic experiences. It models data associations, suggests business vocabulary words, and creates metadata instantaneously using Gemini's table descriptions, query histories, and schema connections. This knowledge engine grounds AI and agents in business context, enabling semantic search across BigQuery and AI-powered data insights.

All customers may access Gemini-powered agentic and assistive experiences in BigQuery and Looker without add-ons in the existing price model tiers!

Accelerating data science and advanced analytics

BigQuery autonomous data to AI platform is revolutionising data science and analytics by enabling new AI-driven data science experiences and engines to manage complex data and provide real-time analytics.

First, AI improves BigQuery notebooks. It adds intelligent SQL cells to your notebook that can merge data sources, comprehend data context, and make code-writing suggestions. It also uses native exploratory analysis and visualisation capabilities for data exploration and peer collaboration. Data scientists can also schedule analyses and update insights. Google Cloud also lets you construct laptop-driven, dynamic, user-friendly, interactive data apps to share insights across the organisation.

This enhanced notebook experience is complemented by the BigQuery AI query engine for AI-driven analytics. This engine lets data scientists easily manage organised and unstructured data and add real-world context—not simply retrieve it. BigQuery AI co-processes SQL and Gemini, adding runtime verbal comprehension, reasoning skills, and real-world knowledge. Their new engine processes unstructured photographs and matches them to your product catalogue. This engine supports several use cases, including model enhancement, sophisticated segmentation, and new insights.

Additionally, it provides users with the most cloud-optimized open-source environment. Google Cloud for Apache Kafka enables real-time data pipelines for event sourcing, model scoring, communications, and analytics in BigQuery for serverless Apache Spark execution. Customers have almost doubled their serverless Spark use in the last year, and Google Cloud has upgraded this engine to handle data 2.7 times faster.

BigQuery lets data scientists utilise SQL, Spark, or foundation models on Google's serverless and scalable architecture to innovate faster without the challenges of traditional infrastructure.

An independent data foundation throughout data lifetime

An independent data foundation created for modern data complexity supports its advanced analytics engines and specialised agents. BigQuery is transforming the environment by making unstructured data first-class citizens. New platform features, such as orchestration for a variety of data workloads, autonomous and invisible governance, and open formats for flexibility, ensure that your data is always ready for data science or artificial intelligence issues. It does this while giving the best cost and decreasing operational overhead.

For many companies, unstructured data is their biggest untapped potential. Even while structured data provides analytical avenues, unique ideas in text, audio, video, and photographs are often underutilised and discovered in siloed systems. BigQuery instantly tackles this issue by making unstructured data a first-class citizen using multimodal tables (preview), which integrate structured data with rich, complex data types for unified querying and storage.

Google Cloud's expanded BigQuery governance enables data stewards and professionals a single perspective to manage discovery, classification, curation, quality, usage, and sharing, including automatic cataloguing and metadata production, to efficiently manage this large data estate. BigQuery continuous queries use SQL to analyse and act on streaming data regardless of format, ensuring timely insights from all your data streams.

Customers utilise Google's AI models in BigQuery for multimodal analysis 16 times more than last year, driven by advanced support for structured and unstructured multimodal data. BigQuery with Vertex AI are 8–16 times cheaper than independent data warehouse and AI solutions.

Google Cloud maintains open ecology. BigQuery tables for Apache Iceberg combine BigQuery's performance and integrated capabilities with the flexibility of an open data lakehouse to link Iceberg data to SQL, Spark, AI, and third-party engines in an open and interoperable fashion. This service provides adaptive and autonomous table management, high-performance streaming, auto-AI-generated insights, practically infinite serverless scalability, and improved governance. Cloud storage enables fail-safe features and centralised fine-grained access control management in their managed solution.

Finaly, AI platform autonomous data optimises. Scaling resources, managing workloads, and ensuring cost-effectiveness are its competencies. The new BigQuery spend commit unifies spending throughout BigQuery platform and allows flexibility in shifting spend across streaming, governance, data processing engines, and more, making purchase easier.

Start your data and AI adventure with BigQuery data migration. Google Cloud wants to know how you innovate with data.

#technology #technews #govindhtech #news #technologynews #BigQuery autonomous data to AI platform #BigQuery #autonomous data to AI platform #BigQuery platform #autonomous data #BigQuery AI Query Engine

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cindylouwho-2 · 10 months ago

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RECENT ECOMMERCE NEWS (INCLUDING ETSY), LATE JULY 2024

Things have been hectic so this is a long one update - all the Etsy and other ecommerce news from the past month, broken down for your convenience!

Next week could be a big Etsy news week, with the 2nd quarter report being released, and the mature items ban kicking in. I'm also working on analysis of the new Creativity Standards, but we may not have more substantial information on those until Etsy makes another move. Right now the categories are a mess, but that could change.

A reminder that you can receive more timely updates plus exclusive content - including live chats with me on select topics such as Etsy's new Creativity Standards - by supporting my Patreon: patreon.com/CindyLouWho2

TOP NEWS & ARTICLES

The European Union is considering making packages valued under 150 euros subject to customs duties when entering the EU. This is widely seen as a way to reduce Shein and Temu orders.

The Etsy Creativity Standards announced on July 9th have a lot going on; here is my short summary so far. [post by me on Patreon] While I would not worry too much about this just yet, I expect them to be more important in the near future. Etsy adding "Made by", "Handpicked by" to every listing is currently full of errors, but more disturbingly, even when a seller points out these errors with arguments from the written policy, Etsy Support is sometimes insisting that the designations are correct. For example, original paintings are lumped in with AI designs and digital downloads. [Post by me on LinkedIn]

Amazon is imposing new rules regarding on-time delivery rates (OTDR); sellers that do not meet the standard of 90% on time delivery will not be able to continue selling. Businesses are exempted if they use the following tools: Shipping Settings Automation, Automated handling time, and Amazon Buy Shipping. Amazon is allowing only 5 days after shipment for products to arrive within the US. You can read the announcement and vigorous forum discussion here, and EcommerceBytes did a summary of the changes and some complaints.

ETSY NEWS

As Etsy's widespread ban on many adult-themed products is about to take effect on Monday, I considered why Etsy felt the need to take far more drastic steps than Amazon & eBay has in the same markets. [post by me on Tumblr] The upcoming ban started by getting media attention from Mashable, and quickly escalated to the New York Times [not a gift link; soft paywall]. Etsy is still not commenting on why they are doing this. From the NYT article: "Even before the ban, it was getting harder to run his business, Mr. Goldstein said. So, he thought, “Why don’t we just make our own marketplace?” This year, he started the website Spicerack as an independent alternative to Etsy. The online boutique already has about 75 sellers, which are vetted to make sure they’re not “dropshippers” or simultaneously listing products on e-commerce behemoths like AliExpress or Amazon. Mr. Goldstein said that Spicerack is in the process of adding about 100 more sellers, half of whom signed up when the Etsy ban was announced." From the BBC: “In many countries there is pressure on platforms, sometimes backed by new legislation, to do more to prevent under-18s from encountering explicit content, and to remove illegal or "harmful" content from their platforms. Payment processors are also increasingly wary of working with platforms that enable sex based commerce....those concerns could be addressed by more clearly labelling and separating adult product listings..." The Guardian interviewed a few sellers who are affected.

While Etsy previously stated that the new shop set-up fee would be $15 USD, they quietly changed that, to whatever they feel like charging. [post by me on Patreon]

In case you missed it, the new listing form seems to be triggering Etsy Ads campaigns to start without the seller’s knowledge. [post by me on LinkedIn] Since my post, there are still more reports of this happening, and even more.

I regret to inform you that Etsy’s Search Analytics are going to disappear after August 14 [post by me on LinkedIn], per a banner on the page.

Canadian sellers will have to pay a 1.15% “Regulatory Operating Fee” on all of their sales income (including shipping and gift wrap) starting August 15. This is likely due to a new law taxing large ecommerce platforms 3% of their Canadian income, which came into effect June 28. The tax applies retroactively back to the beginning of 2022, so Etsy is likely overcharging us to cover those earlier amounts.

Sellers having difficulties with the domestic pricing tool not working correctly may want to try these tips from an Etsy forum thread: Set the domestic price to the global price amount, save, and then go back in and change the domestic price to your preferred amount, then save again. This apparently works for both new and existing listings, but there are 3 drawbacks: 1) it is time-consuming, 2) it needs to be done any time a listing is changed/edited (including renewals), and 3) it doesn’t seem to work for France. (I don’t ship to France so I cannot test the last point.) Remember, if you have a sale go through for the wrong price, contact Etsy and demand to be compensated the difference.

Still don’t believe that Etsy is serious about shipping on time? See this Reddit thread by a seller who ignored a 30-day warning, so all of their items were removed from search. From this screenshot, it appears their average order value was fairly high, but that doesn’t mean Etsy will tolerate late shipping from shops with cheaper items, so beware.

Etsy is testing filtering out digital items from search results unless the terms match a digital item search. See Etsy forum threads here and also here.

A new academic study calls out Etsy and other online marketplaces for allowing illegally-killed bats to be sold on their sites. “We refute any assertion that the online bat trade is ethical. Again, statements that bats were captive-bred are absurd—bat farms are nonexistent—and it would be impossible for suppliers to find bats that have died naturally in the kind of condition and numbers needed to supply an ornamental trade. These bats were hunted.” The New York Times has also now covered this story [soft paywall].

The virtual seller education event Etsy Up is scheduled for September 10. You can register here, but there is no program yet. Usually this event has almost nothing worthwhile for experienced shops, and Etsy generally uses it to push their paid services and integrations along with basic info.

Etsy is looking for sellers to join their Advocacy program and “share your story”. Beware that sometimes Etsy’s “advocacy” is as much for Etsy as for its sellers, so they are looking for stories that fit Etsy’s own goals.

The Etsy Design Awards have opened; the final date for submissions is August 8.

Etsy’s second quarter results for 2024 will be released July 31.

ECOMMERCE NEWS (minus social media)

General

Shein and Temu are facing investigations under the EU’s Digital Services Act. “In a press release, the EU said it’s asking Shein and Temu for more information about measures they’ve taken to meet DSA obligations related to what’s known as “Notice and Action” mechanisms, which should allow users to notify the marketplaces of illegal products.It has also requested info related to the design of their online interfaces, which the pan-EU law mandates must not deceive or manipulate users, such as via so-called “dark patterns”.” Temu is also being sued by Arkansas for having an invasive app that is accused of harvesting data without user permissions. “According to the complaint, Temu is allegedly obscuring its unauthorized access to data through misleading terms of use and privacy policies that do not alert users to the full scope of data that the app can potentially collect. That includes not telling users about tracking granular locations for no defined purpose and collecting "even biometric information such as users’ fingerprints."

Amazon

Amazon now has an AI shopping “assistant” on its US app, called Rufus. “Customers can ask questions about products, comparisons and buying considerations. The AI can provide suggestions for specific tasks or projects.” As per usual with AI, “tests show Rufus doesn’t always provide accurate information.” A review from Marketplace Pulse notes that “Amazon’s AI assistant fails to help shoppers find the best product among the millions in the catalog. It transforms broad questions like “What are the best cycling gloves for winter?” into a few links to product searches — the same searches a shopper could have typed themselves. It refuses to make product recommendations, show specific products, or suggest from the thousands of options. It can’t directly answer the question, “What are the cheapest batteries for my TV remote?”

Any sellers who had items removed for being plants or seeds when they actually aren’t should follow the instructions linked to here to get the situation resolved. An Amazon employee warned sellers: “Please do not acknowledge the violations as these will result in the deactivation of your listings.” Affected businesses should instead appeal the flags.

Amazon is planning a discount drop shipping from China section, widely seen to be competition to Temu and Shein. However, “[i]t is not clear if these shipments will be made using a U.S. trade provision that exempts individual packages worth less than $800 from U.S. customs duties.”

The European Commission has asked Amazon for more information on “recommender systems, ads transparency provisions and risk assessment measures.”

Only 1% of US Amazon sellers also offer their items outside of North America. “Due to its proximity to the U.S., Canada has more successful sellers from the U.S. than Canada.” If you have a unique product, this could be an opportunity. Amazon returns are creating huge workloads for UPS stores and other retailers that accept them. “Amazon “makes up about one-tenth of our profits, but it takes up about 90 percent of the working day,” said Jeremy Walker, a store associate who worked at a UPS Store near Dallas that received between 300 and 600 returns per day.”

Depop

After trying it out in the UK, Depop is removing selling fees for the United States, starting July 15. Payment processing fees still apply. “[B]buyers will now be charged a "marketplace fee" of up to 5% plus a fixed amount up to $1.”

An interview with Depop CEO Kruti Patel Goyal reveals they plan “to bring Depop to a bigger and broader audience over time.”

eBay

eBay is slowly rolling out changes to the Active Listings page.

eBay sellers can now get cash advance loans through Liberis, the balance of which gets paid as a percentage of the seller's sales.

New sellers in the UK might see “automated feedback” on some of their orders, to "help [users] buy and sell with confidence". It will say "This seller successfully completed an order", and is removed once the actual buyer leaves feedback.

Michaels MakerPlace

Abby Glassenberg reviews Michaels’ MakerPlace popups inside their retail stores. Results seem mixed.

Shopify

A few hundred thousand Shopify users may have had their names, addresses and other data put up for sale on July 3 after a breach. Shopify denies it had any security issues and claims the data came from a third-party app. There was a known data breach at Evolve Bank and Trust in June; that institution is a supporting partner for Shopify Balance. It does appear that Shopify is notifying the affected individuals.

Walmart Walmart is adding pre-owned collectibles to its marketplace. “Eligible categories include Toys (Figures, Dolls, Trains, Plushies, Games, LEGO, Funko, Diecast Cars & Hot Wheels); Media & Music (Movies, Vinyl, Music, SteelBooks, Musical Instruments & Entertainment Replicas); Trading Cards; Comic Books & Books; Sports Memorabilia; and Coins.”

All Other Marketplaces

Indiegogo is opening an ecommerce website for items created through crowdfunding campaigns on the platform, called IndieShop.

Etsy-owned Reverb now has an “outlet” page, where businesses can sell off their overstock, seconds and out-of-date models for 20% off and free shipping. Most products sold through the main portion of Reverb are used, not new, so this competes with regular sellers.

Not sure if selling on Faire is right for your business? Here’s a handmade-focussed review of the wholesale site.

Payment Processing

Klarna is now available through Adobe Commerce (previously Magento).

Shipping

USPS rates for labels on most platforms went up July 1, ahead of the previously-announced July 14th increases. Ina Steiner re-posted the numbers from eBay and Pirate Ship.

USPS released the addresses and other data of logged-in Informed Delivery users to Meta, LinkedIn and Snap. The company claims it didn’t know the data transfer was happening.

The free USPS Priority medium shipping tubes are no longer being made, but you can still order existing stock.

Royal Mail’s Tracked 28 & 48 are now available at post offices.

UPS’s holiday surcharge rates for the US have been released; the lower surcharges start September 29th.

Shippo has new Canada Post rates from now until January, and the Tracked Packet rates to everywhere but the United States are cheaper than Etsy’s (which are based on Level 4 of Solutions for Small Business). Remember that Shippo makes you pay for a higher tier of service if you use over 30 labels per month.

#ecommerce #EtsySellerNews #etsy #microbusiness #cindylouwho2

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panashifzco · 1 month ago

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Why Self-Service Kiosks Are the Future of Hospitality and Retail !!

The retail and hospitality industries are constantly evolving to meet the demands of modern consumers. As businesses strive for efficiency, convenience and improved customer experience, self-service kiosks have emerged as a game-changing solution. From quick-service restaurants to retail stores and hotels, kiosks are revolutionizing how customers interact with businesses, making transactions smoother, reducing wait times and enhancing overall satisfaction.

The Growing Demand for Self-Service Solutions

With the rise of digital transformation, consumers now expect seamless, tech-driven interactions in every aspect of their lives. Self-service kiosks address this demand by providing :

Speed and Efficiency – Customers can place orders, check-in or make payments quickly without waiting in long lines.

Reduced Labor Costs – Businesses can optimize staff allocation, reducing operational expenses while maintaining quality service.

Enhanced Customer Experience – Customizable interfaces and multilingual support ensure a smooth and personalized experience for diverse audiences.

Improved Accuracy – Self-service kiosks eliminate human errors in order placement, payment processing, and service requests.

How Kiosks Are Transforming Retail Retailers are integrating self-service kiosks to streamline operations and improve shopping experiences. Some key benefits include:

Faster Checkout – Self-checkout kiosks minimize congestion at traditional cash registers, reducing wait times.

In-Store Navigation & Product Lookup – Customers can quickly locate products and access real-time stock availability.

Loyalty Program Integration – Kiosks enable customers to register for rewards programs, check points, and redeem offers effortlessly.

Seamless Omnichannel Experience – Integration with e-commerce platforms allows customers to order online and pick up in-store.

Upselling and Cross-Selling Opportunities – Kiosks can suggest complementary products or promotions based on customer preferences.

The Impact of Kiosks in Hospitality In the hospitality industry, self-service kiosks are redefining guest experiences by offering:

Faster Hotel Check-Ins and Check-Outs – Guests can skip front desk lines and access rooms with digital keys.

Self-Ordering at Restaurants – Quick-service and fast-casual restaurants use kiosks to enhance order accuracy and speed.

Automated Ticketing and Reservations – Kiosks streamline the process for theme parks, movie theaters and travel agencies.

Personalized Customer Interactions – AI-powered kiosks can recommend services, upgrades, or add-ons based on customer preferences.

Multi-Functionality – Kiosks can serve as concierge services, providing guests with local recommendations and travel assistance.

The Future of Self-Service Kiosks The future of self-service kiosks is driven by technological advancements, including:

AI and Machine Learning – Personalized recommendations and predictive analytics will enhance user engagement.

Contactless and Mobile Integration – NFC payments and mobile app connectivity will further simplify transactions.

Biometric Authentication – Facial recognition and fingerprint scanning will improve security and user convenience.

Sustainable and Eco-Friendly Kiosks – Digital receipts and energy-efficient designs will support environmental initiatives.

Cloud-Based Management – Remote monitoring and software updates will enable seamless kiosk operations.

Voice-Activated Interfaces – Enhancing accessibility for all users, including those with disabilities.

Conclusion Self-service kiosks are no longer a luxury but a necessity for businesses aiming to enhance efficiency, reduce costs and improve customer satisfaction. As the retail and hospitality industries continue to evolve, adopting kiosk technology will be key to staying competitive and meeting the ever-growing expectations of tech-savvy consumers.

What are your thoughts on the future of self-service kiosks? Share your insights in the comments below!

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markthomas · 8 months ago

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Transform Your Restaurant with Voice AI Food Ordering

As technology continues to shape the dining experience, voice AI food ordering is revolutionizing how customers interact with restaurants. With eatOS’s AI-enabled ordering automation, restaurants can now offer a seamless, efficient, and innovative way for guests to place orders using voice commands.

This cutting-edge system allows customers to speak directly to an AI-powered assistant, simplifying the ordering process. Whether guests are dining in or ordering for delivery, voice AI food ordering ensures quicker, more accurate order placements. It eliminates the need for waitstaff to take orders manually, reducing human error and speeding up service.

For restaurants, this technology not only improves customer satisfaction but also enhances operational efficiency. The AI-enabled system integrates directly with your POS and kitchen systems, ensuring that orders are sent directly to the kitchen without delay. By automating routine tasks like order-taking, your staff can focus more on delivering an exceptional dining experience.

With eatOS’s voice AI food ordering solution, restaurants can stay ahead of the curve and meet the growing demand for modern, contactless service. Discover how this innovative technology can elevate your restaurant by visiting eatOS AI-Enabled Ordering Automation.

#voice AI food ordering #AI-enabled ordering automation #articifial intelligence #technology #point of sale software

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eatossolutions · 9 months ago

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AI-Enabled Ordering Automation | Boost Efficiency & Customer Satisfaction

Discover how AI-enabled ordering automation streamlines operations, reduces wait times, and enhances customer satisfaction. Explore the future of smart, efficient, and personalized ordering systems for your business.

#ordering automation #Ai enabled ordering automation

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web-to-print-industry · 2 months ago

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How Artificial Intelligence is Transforming the Printing Industry

The printing industry is undergoing a significant transformation, thanks to the integration of artificial intelligence (AI). From automating production workflows to enhancing customer experiences, AI is helping businesses streamline operations, reduce costs, and improve efficiency. By leveraging print management software and online product designer tools, print businesses can now offer faster, more precise, and highly customized solutions.

1. AI-Driven Automation in Print Production

AI is revolutionizing the way printing businesses manage their workflows. With print management software, AI can analyze order patterns, optimize print scheduling, and reduce waste, making production processes more efficient. Automated quality control systems powered by AI can also detect errors in print files before production, ensuring high-quality output with minimal human intervention.

2. Enhancing Customer Experience with AI

Customers today expect fast, seamless, and personalized services. AI-powered chatbots and virtual assistants help printing businesses provide instant support, answering customer queries and guiding them through the ordering process. Additionally, AI-driven recommendation systems suggest the best print options based on customer preferences, improving user engagement and satisfaction.

3. Smarter Design Capabilities with AI

The integration of AI with an online product designer enables users to create stunning, print-ready designs with ease. AI can assist in:

Auto-generating design templates based on user input.

Providing real-time design feedback and error detection.

Offering intelligent color-matching and font-pairing suggestions. This ensures that even users with minimal design experience can create professional-quality prints effortlessly.

4. AI-Powered Print Marketing and Personalization

AI is enhancing print marketing by enabling hyper-personalization. Businesses can use AI to analyze customer behavior and create targeted print materials, such as direct mail campaigns customized to individual preferences. Variable data printing (VDP), combined with AI, allows businesses to produce personalized brochures, flyers, and packaging that appeal to specific audiences.

5. Predictive Maintenance for Printing Equipment

One of the biggest challenges in the printing industry is machine downtime. AI-powered predictive maintenance in print management software helps monitor the health of printing equipment, identifying potential failures before they occur. This reduces unexpected breakdowns, increases machine lifespan, and improves overall efficiency.

6. AI in Supply Chain and Inventory Management

AI-driven analytics help printing businesses optimize their supply chain by forecasting demand, tracking inventory levels, and preventing stock shortages or overproduction. This level of automation ensures smooth order fulfillment and cost savings in material procurement.

7. The Future of AI in Printing

As AI technology continues to advance, its impact on the printing industry will only grow. From real-time production monitoring to AI-powered creative tools, the future of printing will be faster, smarter, and more customer-centric. Businesses that embrace AI-driven print management software and online product designer solutions will have a competitive edge in delivering high-quality, customized printing services.

Conclusion

The integration of artificial intelligence in the printing industry is not just a trend but a game-changer. By incorporating AI-powered print management software and intuitive online product designer tools, businesses can achieve higher efficiency, reduce costs, and enhance customer satisfaction. The future of printing is smart, and AI is leading the way toward a more innovative and automated industry.

#ai #product designer #print management software #online product designer

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mofeoluwa · 3 months ago

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STON.fi: The Cornerstone of DeFi on The Open Network

Decentralized finance (DeFi) is rapidly transforming, and STON.fi is emerging as a powerhouse within The Open Network (TON). More than just a decentralized exchange (DEX), it is becoming an essential infrastructure for liquidity, trading, cross-chain integrations, and Web3 applications.

The growth of STON.fi isn’t accidental—it’s driven by continuous innovation, strong integrations, and a commitment to making DeFi more accessible. Let’s explore how STON.fi is shaping the TON ecosystem and redefining DeFi standards.

Unleashing Cross-Chain Liquidity

Liquidity is the backbone of any thriving DeFi ecosystem. STON.fi has tackled a major challenge in the industry—seamless cross-chain transfers. Through Symbiosis, STON.fi enables smooth asset movement between TON and other major blockchain networks like Ethereum and BNB Chain.

This means:

Users can swap assets across different chains without technical complexity.

More liquidity flows into the TON ecosystem, making it more attractive for traders.

DeFi adoption on TON is no longer limited by network barriers.

The integration of cross-chain swaps is a step toward positioning TON as a multi-chain DeFi hub.

The Intersection of DeFi and Web3 Gaming

Gaming is one of the fastest-growing segments in blockchain, and STON.fi is actively driving this evolution. Its partnership with Elympics allows gaming projects to connect directly with DeFi liquidity.

With this integration:

Players can convert in-game assets into tradable tokens instantly.

Developers can access STON.fi’s liquidity pools for game economies.

The gaming sector on TON gains financial utility beyond in-game rewards.

Web3 gaming is evolving, and STON.fi is at the forefront of making game assets more liquid and valuable.

Optimizing Yield with Leveraged Farming

STON.fi goes beyond simple swaps—it enhances DeFi earnings through leveraged yield farming in collaboration with Farmix.

Users can farm high-yield pools like:

STON/USDt

PX/TON

STORM/TON

By optimizing farming strategies, liquidity providers can earn higher rewards with efficient capital utilization.

AI-Driven Trading with Wisdomise

DeFi trading can be complex, but STON.fi is making it more accessible through AI-powered automation. The integration with Wisdomise introduces:

Automated limit orders for better trade execution.

Market intelligence tools that enhance decision-making.

Advanced risk management features to optimize trading.

With AI-driven automation, both beginners and experienced traders can navigate DeFi markets more efficiently.

Enhancing Payments in Web3 Gaming

TON-based gaming projects now have access to instant DeFi-powered payments through TonTickets’ integration with STON.fi.

This feature supports:

Fast conversions of gaming rewards into liquid assets.

Secure and verifiable on-chain raffles.

Integrated financial tools for Web3 game developers.

By providing seamless access to DeFi tools, STON.fi is fueling the next generation of blockchain gaming.

Bringing Institutional-Grade Security to DeFi

Adoption by financial institutions is a key milestone for DeFi. STON.fi has taken a major step forward with Zodia Custody, a regulated digital asset custodian backed by leading financial institutions.

This integration allows:

Institutional investors to securely manage TON-based assets.

STON tokens to be stored with institutional-grade security.

Increased credibility for the TON DeFi ecosystem.

With institutional backing, STON.fi is becoming a trusted entry point for large-scale capital in DeFi.

Simplifying Asset Management with Tomo Wallet

DeFi users often struggle with managing assets across multiple chains. STON.fi’s integration with Tomo Wallet solves this by offering:

Direct access to STON.fi swaps from within the wallet.

A seamless experience for managing multi-chain portfolios.

Faster liquidity access for everyday DeFi users.

This makes DeFi interactions simpler and more intuitive.

STON.fi SDK: The Backbone of Seamless Integrations

Behind all these integrations lies a powerful yet user-friendly toolset—the STON.fi SDK. It allows developers to:

Embed STON.fi’s liquidity engine with minimal effort.

Enable cross-chain transactions without complex coding.

Offer DeFi functionality to their users without reinventing the wheel.

From AI-powered trading to gaming and institutional finance, the STON.fi SDK is the silent force enabling smooth integrations across the TON ecosystem.

Final Thoughts: Why STON.fi Is Pioneering TON’s DeFi Future

STON.fi isn’t just growing—it’s reshaping the DeFi landscape on TON. With its:

Cross-chain liquidity solutions

Web3 gaming integrations

High-yield farming opportunities

AI-driven trading tools

Institutional adoption

It is proving to be an essential pillar of TON’s decentralized finance ecosystem.

For traders, developers, investors, and Web3 gamers, STON.fi offers more than just trading. It’s an evolving financial infrastructure that will define the future of DeFi on TON.

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sokowachi · 3 months ago

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STON.fi: The Driving Force Behind TON’s DeFi Growth

The decentralized finance (DeFi) landscape is evolving rapidly, and STON.fi stands at the center of innovation on The Open Network (TON). From facilitating seamless asset swaps to powering institutional-grade integrations, STON.fi is doing more than just operating as a decentralized exchange (DEX)—it’s building the backbone of TON’s DeFi expansion.

With billions in trading volume, millions of active wallets, and consistent ecosystem growth, STON.fi’s impact extends far beyond trading. It’s fueling liquidity, driving cross-chain connectivity, and enabling developers to integrate DeFi into their applications effortlessly.

Let’s explore the major developments that are cementing STON.fi’s position as the core of TON’s DeFi ecosystem.

Cross-Chain Liquidity: Expanding the Boundaries of TON

One of the biggest challenges in DeFi has always been blockchain interoperability. STON.fi’s integration with Symbiosis is solving this by enabling seamless asset movement across different networks.

This integration has opened new possibilities:

✔️ Easier swaps between TON and other major blockchains like Ethereum and BNB Chain.

✔️ Increased liquidity flow into TON, making it a more attractive ecosystem for traders.

✔️ Reduced friction in asset transfers, making DeFi more accessible.

Now, users can engage in cross-chain swaps without unnecessary complexity, making the TON ecosystem more connected to the broader crypto landscape.

DeFi Meets Web3 Gaming: The Elympics Integration

The intersection of gaming and DeFi is becoming one of the most exciting areas in blockchain. STON.fi’s partnership with Elympics is a game-changer for the TON ecosystem, enabling direct DeFi functionality within blockchain games.

What does this mean?

✅ In-game assets can be instantly converted into tradable tokens.

✅ Gaming projects get direct access to STON.fi’s liquidity pools.

✅ A new era of play-to-earn gaming with real financial utility.

By removing the barriers between in-game economies and DeFi, this integration is setting a new standard for Web3 gaming.

Maximizing Yield: Leveraged Farming with Farmix

STON.fi isn’t just enabling swaps—it’s redefining yield farming on TON. The Farmix integration allows users to leverage their positions, significantly increasing farming rewards.

Supported liquidity pools include:

✔️ STON/USDt

✔️ PX/TON

✔️ STORM/TON

Users can now earn more with optimized farming strategies, making liquidity provision on STON.fi more lucrative than ever.

AI-Powered Trading Automation via Wisdomise

DeFi is becoming smarter, and STON.fi is ensuring that TON users stay ahead of the curve with AI-powered trading solutions. The integration with Wisdomise brings:

✔️ AI-driven market analysis for better trade execution.

✔️ Automated limit orders, leveraging STON.fi’s liquidity.

✔️ Smarter trading tools that optimize risk management.

This is making STON.fi a go-to platform for both passive and active traders in the TON ecosystem.

Revolutionizing Web3 Gaming Payments with TonTickets

Gaming on TON is evolving beyond simple play-to-earn models. The TonTickets integration with STON.fi introduces a new level of financial utility in gaming.

Key benefits include:

✔️ Instant conversion of gaming rewards into liquid assets.

✔️ On-chain raffles and tournaments with immediate payouts.

✔️ A growing Web3 gaming ecosystem backed by DeFi liquidity.

This is making STON.fi a crucial infrastructure for the next generation of blockchain games.

Institutional Adoption: A Breakthrough with Zodia Custody

For DeFi to achieve mass adoption, it needs institutional trust. STON.fi is bridging the gap by integrating with Zodia Custody, a regulated digital asset custodian backed by major financial institutions.

What does this integration unlock

✔️ STON is now supported by an institutional-grade custody service.

✔️ Institutional investors can now securely hold and manage TON-based assets.

✔️ TON’s DeFi ecosystem gains credibility in the eyes of traditional finance.

This move is attracting serious capital into TON DeFi, signaling long-term growth.

Simplified Asset Management with Tomo Wallet

Managing assets across multiple blockchains can be overwhelming, but STON.fi’s integration with Tomo Wallet makes it seamless.

With this update, users get:

✔️ Direct access to STON.fi swaps from Tomo Wallet.

✔️ A more efficient way to manage multi-chain portfolios.

✔️ Easier liquidity access for everyday DeFi transactions.

STON.fi is not just expanding its trading capabilities—it’s creating a full-fledged DeFi experience.

STON.fi SDK: The Power Behind Seamless Integrations

One of STON.fi’s biggest strengths is its developer-friendly approach. The STON.fi SDK has been instrumental in enabling all these integrations by providing a simple yet powerful toolset for projects.

With the SDK, developers can:

✔️ Embed STON.fi’s swap engine with minimal effort.

✔️ Enable seamless cross-chain interactions.

✔️ Offer DeFi functionalities without complex coding.

From AI-driven trading to gaming and institutional investments, the STON.fi SDK is the backbone of TON’s DeFi expansion.

Final Thoughts: STON.fi’s Role in Shaping TON’s DeFi Future

STON.fi has moved beyond being just another decentralized exchange. It’s now a core infrastructure piece powering DeFi, gaming, and institutional finance on TON.

With its cross-chain capabilities, strategic integrations, yield farming innovations, and institutional backing, STON.fi is proving that it’s here to stay.

For traders, developers, investors, and gamers, STON.fi is not just an option—it’s a fundamental pillar of the TON DeFi ecosystem.

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dijacrypt · 3 months ago

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STON.fi: Driving TON’s DeFi Revolution

Decentralized finance (DeFi) is redefining financial systems, and on The Open Network (TON), STON.fi is at the heart of this transformation. More than just a decentralized exchange (DEX), STON.fi is fueling critical integrations that are expanding liquidity, enhancing gaming economies, revolutionizing trading automation, and attracting institutional players.

With over $5.2 billion in trading volume, 4 million+ unique wallets, and thousands of new users daily, STON.fi is proving its dominance in the TON ecosystem. But beyond these numbers, it is the strategic integrations and innovations that truly define its impact.

Let’s explore the key milestones and integrations that make STON.fi a force to reckon with in the DeFi space.

Seamless Cross-Chain Transactions with Symbiosis

Interoperability remains a major challenge in blockchain. STON.fi’s integration with Symbiosis solves this by enabling seamless swaps between TON and other blockchains.

This development has:

✅ Expanded TON-based assets’ accessibility across multiple chains.

✅ Made cross-chain swaps cheaper, faster, and more efficient.

✅ Boosted STON.fi’s trading volume and liquidity depth.

Now, TON users are no longer restricted within their ecosystem but can easily interact with assets from Ethereum, BNB Chain, and beyond.

Web3 Gaming Gets a Boost with Elympics

Blockchain gaming is one of the fastest-growing sectors in Web3, and STON.fi has positioned itself at the core of this evolution by integrating with Elympics, a competitive gaming platform.

This partnership allows:

Direct in-game token trading through STON.fi’s swap features.

Liquidity access for TON-based gaming projects.

A streamlined gaming economy where reward tokens can be instantly converted into tradable assets.

With this integration, gaming projects can now operate within a well-structured, DeFi-powered economy.

Enhanced Yield Farming with Farmix

Liquidity provision has always been a key part of DeFi, but STON.fi is taking it further through Farmix, which introduces leveraged yield farming.

Users can now increase their farming rewards on supported pools such as:

✅ STON/USDt

✅ PX/TON

✅ STORM/TON

The ability to leverage positions within liquidity pools means higher yield earnings for DeFi farmers. This solidifies STON.fi’s role as a top liquidity provider on TON.

AI-Powered Trading with Wisdomise

Artificial intelligence is rapidly reshaping financial markets, and Wisdomise has integrated STON.fi’s liquidity pools to enhance DeFi trading automation.

Key features of this integration include:

AI-driven market analysis to optimize trade execution.

Automated limit orders using STON.fi’s deep liquidity.

Advanced risk management tools for precision trading.

With this, traders can automate their strategies while maintaining full control over their portfolios.

Web3 Gaming Economy Expands with TonTickets

Web3 gaming is evolving beyond play-to-earn models, and TonTickets is at the forefront of this shift. By integrating with STON.fi, it brings new possibilities for gamers and projects alike.

This integration allows:

Seamless conversion of in-game rewards into TON-based assets.

On-chain raffles and tournaments with instant payouts.

A robust gaming ecosystem powered by DeFi liquidity.

Gamers and developers now have a trusted platform for in-game economies backed by STON.fi’s liquidity infrastructure.

Institutional Investors Enter the Scene with Zodia Custody

For DeFi to achieve mainstream adoption, it must attract institutional capital. STON.fi has made a breakthrough by integrating with Zodia Custody, a regulated digital asset custody provider.

Key benefits of this integration:

✅ STON becomes the first TON-based token supported by Zodia.

✅ Institutional investors now have a secure way to hold TON-based assets.

✅ Major backers like CoinFund are driving serious capital into the TON ecosystem.

This marks a significant step toward bridging the gap between DeFi and traditional finance.

Multi-Chain Asset Management with Tomo Wallet

Managing assets across different blockchains can be challenging, but STON.fi’s integration with Tomo Wallet has simplified it.

This integration provides:

Direct asset swaps on TON from Tomo Wallet.

A more efficient portfolio management system.

Easier liquidity access, making STON.fi’s services more user-friendly.

Users now enjoy a seamless, all-in-one DeFi experience.

STON.fi SDK: The Backbone of These Integrations

A key factor behind STON.fi’s success is its Software Development Kit (SDK), which enables projects to easily integrate with the platform.

With the STON.fi SDK, developers can:

Integrate STON.fi’s swap engine with minimal coding.

Enable cross-chain transactions seamlessly.

Provide users with a frictionless DeFi experience.

From AI-powered trading to gaming and institutional adoption, the STON.fi SDK is the technology driving DeFi expansion on TON.

Final Thoughts: Why STON.fi is Leading TON’s DeFi Growth

STON.fi isn’t just another decentralized exchange—it’s a foundational pillar of TON’s DeFi ecosystem.

By facilitating cross-chain transactions, powering Web3 gaming, enhancing AI-driven trading, and onboarding institutional investors, STON.fi is proving its long-term value in DeFi.

With its SDK simplifying integrations, STON.fi is ensuring that more projects can tap into its liquidity and expand their offerings.

DeFi is moving fast, and STON.fi is leading the charge on TON. Whether you’re a trader, developer, investor, or gamer, one thing is certain—STON.fi is shaping the future of decentralized finance.

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christianbale121 · 3 months ago

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AI Agent Development: How to Create Intelligent Virtual Assistants for Business Success

In today's digital landscape, businesses are increasingly turning to AI-powered virtual assistants to streamline operations, enhance customer service, and boost productivity. AI agent development is at the forefront of this transformation, enabling companies to create intelligent, responsive, and highly efficient virtual assistants. In this blog, we will explore how to develop AI agents and leverage them for business success.

Understanding AI Agents and Virtual Assistants

AI agents, or intelligent virtual assistants, are software programs that use artificial intelligence, machine learning, and natural language processing (NLP) to interact with users, automate tasks, and make decisions. These agents can be deployed across various platforms, including websites, mobile apps, and messaging applications, to improve customer engagement and operational efficiency.

Key Features of AI Agents

Natural Language Processing (NLP): Enables the assistant to understand and process human language.

Machine Learning (ML): Allows the assistant to improve over time based on user interactions.

Conversational AI: Facilitates human-like interactions.

Task Automation: Handles repetitive tasks like answering FAQs, scheduling appointments, and processing orders.

Integration Capabilities: Connects with CRM, ERP, and other business tools for seamless operations.

Steps to Develop an AI Virtual Assistant

1. Define Business Objectives

Before developing an AI agent, it is crucial to identify the business goals it will serve. Whether it's improving customer support, automating sales inquiries, or handling HR tasks, a well-defined purpose ensures the assistant aligns with organizational needs.

2. Choose the Right AI Technologies

Selecting the right technology stack is essential for building a powerful AI agent. Key technologies include:

NLP frameworks: OpenAI's GPT, Google's Dialogflow, or Rasa.

Machine Learning Platforms: TensorFlow, PyTorch, or Scikit-learn.

Speech Recognition: Amazon Lex, IBM Watson, or Microsoft Azure Speech.

Cloud Services: AWS, Google Cloud, or Microsoft Azure.

3. Design the Conversation Flow

A well-structured conversation flow is crucial for user experience. Define intents (what the user wants) and responses to ensure the AI assistant provides accurate and helpful information. Tools like chatbot builders or decision trees help streamline this process.

4. Train the AI Model

Training an AI assistant involves feeding it with relevant datasets to improve accuracy. This may include:

Supervised Learning: Using labeled datasets for training.

Reinforcement Learning: Allowing the assistant to learn from interactions.

Continuous Learning: Updating models based on user feedback and new data.

5. Test and Optimize

Before deployment, rigorous testing is essential to refine the AI assistant's performance. Conduct:

User Testing: To evaluate usability and responsiveness.

A/B Testing: To compare different versions for effectiveness.

Performance Analysis: To measure speed, accuracy, and reliability.

6. Deploy and Monitor

Once the AI assistant is live, continuous monitoring and optimization are necessary to enhance user experience. Use analytics to track interactions, identify issues, and implement improvements over time.

Benefits of AI Virtual Assistants for Businesses

1. Enhanced Customer Service

AI-powered virtual assistants provide 24/7 support, instantly responding to customer queries and reducing response times.

2. Increased Efficiency

By automating repetitive tasks, businesses can save time and resources, allowing employees to focus on higher-value tasks.

3. Cost Savings

AI assistants reduce the need for large customer support teams, leading to significant cost reductions.

4. Scalability

Unlike human agents, AI assistants can handle multiple conversations simultaneously, making them highly scalable solutions.

5. Data-Driven Insights

AI assistants gather valuable data on customer behavior and preferences, enabling businesses to make informed decisions.

Future Trends in AI Agent Development

1. Hyper-Personalization

AI assistants will leverage deep learning to offer more personalized interactions based on user history and preferences.

2. Voice and Multimodal AI

The integration of voice recognition and visual processing will make AI assistants more interactive and intuitive.

3. Emotional AI

Advancements in AI will enable virtual assistants to detect and respond to human emotions for more empathetic interactions.

4. Autonomous AI Agents

Future AI agents will not only respond to queries but also proactively assist users by predicting their needs and taking independent actions.

Conclusion

AI agent development is transforming the way businesses interact with customers and streamline operations. By leveraging cutting-edge AI technologies, companies can create intelligent virtual assistants that enhance efficiency, reduce costs, and drive business success. As AI continues to evolve, embracing AI-powered assistants will be essential for staying competitive in the digital era.

#ai #ai agent development

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