Creating personalized and interactive experiences for customers can be a daunting task for developers and businesses alike. Generating content or designs that fit specific requests, while remaining intuitive for users, has often required complicated software or lengthy development cycles. But with new tools emerging, it’s easier than ever to turn creative ideas into reality.

To tackle this, we built a “Tattoo Preview” web app using Cursor and the OpenAI Image Generation API. This app is just one example of the countless possibilities that Cursor unlocks.

How it works

The Tattoo Preview app allows users to upload an image of themselves and specify what tattoo they want and where – like a digital tattoo parlour. The app passes this context to the new GPT-Image-1 model which in turn generates the image. This process is simple, intuitive, and interactive – essentially turning the user into the tattoo artist.

Users can chat with the system just like they would with a chatbot, making requests and editing their tattoo preview in real-time – thanks to Cursor, an AI powered coding environment along with the new OpenAI Image Generation API.

Processing and development

• Cursor: The coding environment acts as the backbone, streamlining the process of building a web app and integrating the OpenAI Image Generation API. Cursor’s real-time coding feedback and generation significantly reduced development time and improve accuracy.
• OpenAI Image Generation API: With a simple prompt, the API generates detailed images based on the user’s input. The app places the tattoo on the user’s image, providing a visual representation of what their tattoo could look like.

Output

• An interactive tattoo preview based on the user’s description and chosen body placement.
• Editable designs: Users can adjust the tattoo, change placements, and even swap designs without starting over by simply continuing the conversation.

The result is an engaging experience where the user can iterate and experiment until they find the perfect design.

Example walkthrough

Impact

By combining Cursor’s streamlined coding environment with the power of the OpenAI Image Generation API, we’ve been able to build a convenient interactive experience that brings creativity to life instantly. While the Tattoo Preview app is an exciting use-case, the possibilities don’t stop here.

Built with

• Cursor – A powerful AI coding environment that simplifies integration and rapid development
• OpenAI Image Generation API – Turning user descriptions into visual artwork with ease

Complexity

Low

Looking to leverage modern AI tools within your company? Get in touch and explore next steps.

The post AI Agent Bites #4: “Tattoo Preview” via Cursor and OpenAI Image Generation API appeared first on scandiweb.

A good conference can change how you think, who you meet, and what you do next. It’s a break from daily tasks and a chance to focus on what really moves your business forward.

The best eCommerce conferences in 2025 will connect you with people who understand your world and give you ideas you can put to work right away. You’ll hear what’s working in digital marketing and eCommerce, see what others are doing, and leave with practical next steps. You might even meet your next business partner!

If you’re serious about growing your eCommerce business, these are the events to be at.

Must-attend eCommerce conferences in 2025

There’s never been a more exciting time to be in eCommerce. With AI transforming how we sell, personalize, and operate—and trends like social commerce, marketplace expansion, and customer-first experiences evolving fast—staying in the loop is non-negotiable.

The top eCommerce conferences in 2025 bring together online retailers, industry experts, and forward-thinking brands. These top eCommerce events will give you hands-on insights, real-world strategies, and the kind of networking that opens new doors.

Meet Magento New York

• Date: October 28, 2025
• Location: New York City, NY

If you run a Magento or Adobe Commerce store, put Meet Magento New York at the top of your list. Now in its eleventh year, the event splits sessions into three easy lanes: hands-on tech tips, smart growth ideas, and real case studies that solve everyday problems.

Pick up tricks to speed up checkout, add AI-powered personalization, and reach new marketplaces. Get early product news straight from Adobe engineers and industry leaders, trade advice with top developers, and network with merchants already running eight-figure stores. Because an independent committee selects every session, you’ll get practical advice and actionable insights.

Sellers Summit

• Date: May 6–8, 2025
• Location: Fort Lauderdale, FL

Sellers Summit is a workshop-style show built for founders who run lean teams. Expect step-by-step playbooks on Amazon ads, DTC site CRO, and sourcing that protects your margins. Only about 200 people attend, so networking feels natural.

Accelerate25

• Date: May 21–22, 2025
• Location: Salt Lake City, UT

Want fresh ideas you can try next quarter? Accelerate25 offers over 75 talks on AI forecasting, influencer partnerships, and shipping orders overseas. Big names like Daymond John and Neil deGrasse Tyson will also share inspiring stories from the main stage.

SubSummit

• Date: May 28–30, 2025
• Location: Dallas, TX

If you’re running (or planning) a subscription box, SubSummit is the go-to show for three days of straight-talk advice. You’ll sit with founders, tech pros, and investors, learn simple ways to keep subscribers longer, use AI to sell add-ons, and ship boxes faster and cheaper. Round-table chats and one-on-one meetings match you with others solving the exact same problems.

Retail Innovation Conference & Expo

• Date: June 4–6, 2025
• Location: Chicago, IL

The Retail Innovation Conference & Expo is where retail professionals come for practical, innovative solutions and fresh industry trends. It combines three mini-events—IRCE for tech, Design:Retail for store layout, and the Innovation Summit to give you a clear look at the future of the retail industry. Ideal for industry professionals representing leading retailers, this show delivers practical solutions, the latest trends, and plenty of chances to learn from top design and retail experts.

CommerceNext Growth Show

• Date: June 24–26, 2025
• Location: New York, NY

CommerceNext Growth Show focuses on eCommerce growth, customer experience improvements, and marketing automation. Connecting senior retail leaders, this conference offers valuable insights to drive business growth at the eCommerce expo.

eTail Boston

• Date: August 11–14, 2025
• Location: Boston, MA

eTail Boston brings in brands like Warby Parker, IKEA, and Crocs to show how they blend stores and online sales, tapping the latest omnichannel retail trends and smart ads in the eCommerce industry. Pick up quick tips on AI-driven loyalty, then swap ideas in small think-tanks and the Women in R(eTail) meetup.

Shoptalk Fall

• Date: September 17–19, 2025
• Location: Chicago, IL

Shoptalk Fall is a premier conference bringing the retail crowd together in one place. More than 200 speakers share straight-forward lessons on retail-media ads, supply-chain tech, and shopper trends. Its Meetup tool sets up quick one-on-one chats, so you leave with contacts you can actually use.

White Label World Expo in 2025

• Date: October 15–16, 2025
• Location: Las Vegas, NV

White Label World Expo is a premier event for eCommerce professionals selling branded products without running a factory. Spend the day meeting more than 500 suppliers, comparing samples, and catching quick, practical talks on private-label SEO, Amazon brand registry, and packaging that turns clicks into sales.

B2B eCommerce Summit

• Date: October 21, 2025
• Location: Chicago, IL

The B2B eCommerce Summit packs everything into one day for B2B digital transformation. Hear panels on setting bulk prices, moving purchase orders online, and building self-service portals that keep customers coming back.

Why attend eCommerce conferences?

eCommerce conferences help you stay current, build your skills, and connect with people facing similar challenges. Whether you’re focused on tech, marketing, or long-term growth, they offer a chance to step back, learn, and return with real, usable insights.

Professional development

You’ll learn from people who’ve done it—what worked, what didn’t, and what’s trending now. Expect practical tips on consumer behavior, tools, and strategies you can bring back to your team.

Networking opportunities

Networking is crucial for professional growth, and eCommerce conferences offer both structured and unstructured networking opportunities, including networking events.

Conferences make it easy to meet store owners, marketers, tech pros, and vendors. Whether in a session or over coffee, these conversations often turn into partnerships, fresh ideas, or ongoing support.

Staying updated on innovations

AI, automation, new platforms, changing habits—eCommerce moves fast. Conferences give you direct access to the latest trends, tools, and success stories. It’s one of the best ways to keep up with the latest in retail and digital marketing.

How to get the most out of an eCommerce conference

Going to an eCommerce conference is a big investment of your time, so it helps to go in with a plan. Here are a few simple things you can do before, during, and after the event to make it count.

Before the event

Check the agenda and choose sessions that fit your goals. Know what you want to learn or who you want to meet. It’s also a good idea to connect with other attendees on LinkedIn or through social media marketing groups—this makes starting conversations easier once you’re there.

During the event

Stick to your plan, but stay open to new sessions. Ask questions, take notes, and make time for networking—it’s often where the best ideas come from. Take breaks so you don’t burn out.

After the event

Reach out to the people you met while everything’s still fresh. A quick message or email can go a long way. Then, go over your notes. Pick two or three ideas that could work for your eCommerce business and start testing them. You don’t have to do everything at once—just take action while the ideas are still clear in your mind.

How to convince your boss to send you to a conference

To get a “yes,” focus on how the conference will benefit the business—not just you. It’s your chance to learn, build valuable connections, and share takeaways that could help move the business forward.

Talk about the business benefits

Explain how the conference will help you do your job better. You’ll learn about the latest eCommerce trends, discover tools that could save time or money, and meet people who’ve already solved the problems your team is working on. Moreover, you’re going to bring back ideas the whole team can use.

Break down the costs

Outline the costs (ticket, travel, hotel) and what the company could gain. Maybe you’ll learn how to improve customer acquisition or find a vendor that cuts your shipping costs. Even a small insight can lead to a big impact.

Offer to share what you learn

Let your boss know you’ll bring back key insights and share them with the team. It’s an investment that benefits everyone.

Final thoughts

Going to eCommerce conferences in 2025 is a great way to learn new things, meet people in the industry, and keep up with the latest industry trends. Events like Meet Magento New York are built to give you real tips you can use and help you connect with others who do what you do.

If you want to grow your skills and improve your business, these conferences are worth your time.

scandiweb is hosting Meet Magento New York 2025. Don’t miss your chance to connect with the brightest minds in eCommerce. Get your tickets now!

The post Top 10 eCommerce Conferences (2025) You Can’t Miss in the US appeared first on scandiweb.

We’re incredibly happy to announce that scandiweb has officially been named a Hyvä Platinum Partner, joining the top ranks of agencies leading the way. The Hyvä team has recognized our long-standing contributions to the Hyvä ecosystem and commitment to pushing the boundaries of performance-focused Magento development.

Hyvä revolutionized Magento theming, and we’ve been advocates since day one. From our first project with JYSK Canada in early 2022, we saw the value Hyvä brings, like the developer-friendly flexibility and lightning-fast performance that translates into excellent Core Web Vitals. 

Since then, our portfolio has grown to include a wide range of high-performing, customer-centric Hyvä projects across industries. It’s been our go-to solution for stores that need speed without sacrificing stability or customizability. We’ve built our own Hyvä setup framework to accelerate delivery and keep performance consistently high.

Here are just a few of the success stories we’ve delivered as part of our journey to Platinum:

• Pioneering Award-Winning Digital Experience for Airthings
• From Slow to Sleek: A UI-Focused eCommerce Redesign
• Local Publishing Giant’s Migration from a Legacy System to Magento + Hyvä
• 2.5x Faster Shopping Experience on Hyvä
• Elevating the Digital Chocolate Experience with Läderach’s Transformation Journey
• Retail Giant Byggmax Reaches 99 PageSpeed Score on Hyvä

In a true scandiweb and Hyvä fashion, fast and a little rebellious, our leadership went all in to commemorate this milestone:

Satoshi: Hyvä’s first open-source theme

We’re also proud of our most recent major contribution to the Hyvä community: Satoshi, the first open-source theme built specifically for Hyvä.

Satoshi is designed to give Hyvä users a production-ready starting point that doesn’t sacrifice performance or flexibility. Already available on Shopify, we brought the same conversion-optimized UX to Magento, setting a new bar for storefront usability. It improves the entire shopping flow, without requiring teams to build everything from scratch.

We’ve tested, failed, tested again—and put the best UX patterns into Satoshi so you don’t have to.

Alfreds Genkins
scandiweb CTO & creator of Satoshi

Satoshi was officially introduced at Hyvä Developers Paradise 2025, where Alfreds took the stage to share the full story.

See the live demo at hyva.satoshitheme.com or get the theme on GitHub and start building with Satoshi today.

What does this mean for our clients?

Working with a Hyvä Platinum Partner means direct access to top-tier frontend expertise and proven results. This recognition reflects our hands-on experience and deep technical know-how in complex Hyvä builds.

Here’s what you can expect when working with us:

• Faster, high-performing storefronts built with clean, scalable code and UX best practices
• Access to reusable tools and frameworks we’ve developed to reduce implementation time and costs
• Confidence in delivery, with a proven track record of successful Hyvä projects
• Support from contributors.

scandiweb is thrilled to be among the top Hyvä implementers worldwide—now recognized at the highest tier. Starting your first Hyvä build, looking to speed up an existing store, or ready to explore Satoshi? Our team is here to support your next move.

Are you interested in Hyvä? Talk to a Hyvä Platinum Partner and see what’s possible!

The post scandiweb Becomes a Hyvä Platinum Partner! appeared first on scandiweb.

Evaluating task submissions—especially when they involve multiple components and nuanced criteria—can be slow, inconsistent, and manually exhausting. Without a structured system, grading often becomes subjective and difficult to scale.

To bring structure, speed, and consistency to this process, we built a custom grading engine using Hunch Tools as the foundation. Third-party hiring tools didn’t quite offer the flexibility or depth we needed, so we took matters into our own hands.

How it works

Context for LLM

• Grading materials – Rubric, benchmark examples, and the task document
• Submission files – Slideshow and video transcript

Processing

The submission enters a multi-step evaluation pipeline in Hunch Tools, powered by a blend of eight AI agents. Here’s how it’s structured:

• Multi-Agent Evaluator – Built with Gemini Pro 2.5, this system uses 5 agents to independently score each criterion. Their scores are then aggregated to deliver a balanced, transparent evaluation
• Single-Agent Evaluators – 3 standalone LLMs (Gemini Pro 2.5, GPT 4.1, and GPT-3.5-turbo) assess the full submission holistically. These provide broad, top-level insights to complement the detailed criteria scores

All models run within a single Hunch Tools workflow, making multi-agent orchestration seamless and accessible.

Output

Each submission produces 4 outputs:

• An aggregated, criteria-by-criteria evaluation from the multi-agent system
• 3 complete submission assessments from individual LLMs

All results are outputted to the canvas interface thanks to the “output” feature, allowing to set certain nodes to be “outputs”. This plays further into the convenience of Hunch, which allows to convert any workflow (canvas) into a “tool”, which is effectively a shareable interface for running the whole workflow in the most accessible manner.

Example walkthrough

Impact

The evaluation process now takes minutes —without sacrificing quality or depth. It ensures fairness, reduces workload, and enables a scalable approach to grading high-volume submissions with ease.

Built with

• Hunch Tools – Workflow engine and logic
• Gemini Pro 2.5 – Criteria-based agent evaluator + holistic scorer
• GPT 4.1 – Holistic evaluator
• GPT-3.5-turbo (“GPT o3”) – Holistic evaluator

Complexity

• Low

Looking to leverage modern AI tools within your company? Get in touch and explore next steps.

The post AI Agent Bites #3: Test Task Submission AI Evaluator for HR appeared first on scandiweb.

Salesforce Data Cloud—a Customer Data Platform (CDP)—helps build a complete 360-degree view of your customers.

It brings together different data sources that track customer interactions across your business, creating one complete, unified customer profile to deliver better experiences and insights. You can also add extra information, like store details (location, type, region etc.), to make your customer profiles even more complete and useful for deeper segmentation and analysis.

Data Cloud’s key advantage is data harmonization. It focuses on bringing different data sources together and organizing them in a way that makes sense for your business.

Note: Salesforce Data Cloud isn’t designed to replace your data warehouse. Not every dataset belongs here, and specialized platforms exist for complex storage, transformations, and third-party integrations. Be selective about what you ingest—unnecessary data and jobs create system load, slow down processing, and potentially increase costs depending on your contract terms.

Let’s explore the key concepts and practical steps required to successfully bring your data into Data Cloud. In this guide, we’ll cover the essentials you need to know for effective data ingestion.

Key terms and concepts

Before we proceed, let’s clarify the key terminology and theoretical concepts you’ll encounter when working with Data Cloud.

The data in Salesforce Data Cloud follows a specific path:

Data Stream Objects (DSO) → Data Lake Objects (DLO) → Data Model Objects (DMO)

Most data you import begins as a DSO. However, some data sources skip the DSO stage and appear directly as DLOs in the data lake.

Think of this like rivers and lakes in nature: streams (DSOs) can flow into a lake (DLO). And just as some natural lakes have no rivers feeding them but are filled by underground springs or rainfall, some DLOs exist without corresponding DSOs.

Data Model Objects (DMOs) are the business-ready versions of your data that have been processed and structured for specific use cases, You get them available after you map DLOs to DMOs.

You’ll also see the term feed throughout this article. While it’s not official Salesforce terminology, it’s commonly used to describe regularly updated data flows. We’ll use this term to refer to files that continuously move into your system rather than one-time uploads. For example, daily order exports, customer activity logs, or campaign performance data that continually update your Data Cloud environment.

Choosing and setting up your data source connector

When creating a new data stream, start by clicking “New” on the data stream page:

Next, you’ll need to select your data source. Data Cloud offers numerous connector options (the image below shows just a preview of the available choices):

The most commonly used connectors include:

• Other Salesforce systems (Marketing Cloud, CRM)
• Cloud data storage platforms (AWS S3, etc.)
• SFTP servers

If you need to connect different Salesforce systems or streamline data management across platforms, our Salesforce services help you set up, optimize, and scale your Salesforce ecosystem.

While file uploads work for smaller datasets, it’s generally better to use a central data storage system like S3 or Redshift as your connector. This approach prevents data fragmentation and promotes better data accessibility across your organization.

To set up these connections:

1. Navigate to Setup → Platform tools → Data Cloud → Other Connectors
2. Select your desired connector (in this example, S3):

3. Enter the necessary access details and use the “Test Connection” button to verify that Data Cloud can access your data

Note: When setting up an S3 connector, your configuration will be limited to a single bucket. If you need to access multiple buckets, you’ll need to create separate connector configurations.

Returning to the stream creation process, select your configured connector:

With your data source now accessible, let’s examine the core ingestion process in the next section.

The essentials of configuring your data stream

After selecting your connector, you’ll need to specify the data format. The two most common options are CSV and Parquet.

CSV is widely used and human-readable. However, Data Cloud currently offers limited options to customize CSV parsing details, which can sometimes lead to data issues.

Parquet, while not easily readable by humans, tends to be more error-resistant during Data Cloud processing, reducing the likelihood of column integrity problems.

Next, specify the directory and file name for your data source.

Data Cloud supports the asterisk (*) wildcard character, which is a powerful feature. In data contexts, the asterisk represents “any character, any number of times.”

For example, if you have daily order files in an S3 bucket with names like “DailyOrderFeed-20042025.csv” and “DailyOrderFeed-21042025.csv,” you can use:

• DailyOrderFeed-*.csv

This pattern will capture all files that start with “DailyOrderFeed-” and end with “.csv”. You can also use just “*” as the filename to include all files in the specified directory.

On the next screen, you’ll name your Data Lake object. The API name generates automatically but can be modified if needed.

The category selection is critical and cannot be changed after creation:

• Profile – For customer attribute data (name, email, phone, country, etc.). Cannot map to Engagement DMOs.
• Engagement – For event data (purchases, email opens, website visits). Must include a date field. Cannot map to Profile DMOs.
• Other – The most flexible category for data that fits neither Profile nor Engagement. Can initially map to any DMO category, but once mapped to either Engagement or Profile DMO, cannot switch to the other type.

The primary key selection is crucial for data integrity. This field helps Data Cloud identify unique records. For example, using an order number as a primary key keeps only one record if two orders have the same number.

Remember: primary keys must be unique! If you choose a non-unique identifier, you risk losing records. For engagement events like email interactions, creating a composite key (combining values like customer email + event datetime + event name) can solve uniqueness issues.

The Record Modified field determines which version of duplicate records to keep. If two records share the same primary key, Data Cloud will retain the record with the more recent Record Modified timestamp.

For Engagement streams, you must also define an Event Time Field.

Organization unit settings are only needed if you’re working with multiple organization units.

When defining data types for your fields, review each column carefully. Data Cloud attempts to determine types automatically, but it isn’t perfect—it might incorrectly classify ZIP codes as numbers when they should be text. You cannot modify column types after stream creation.

You can also create formula fields using supported functions. Common use cases include creating composite primary keys or, for example, combining first and last names into full names.

The final configuration screen appears before deployment:

You’ll need to choose between two update modes:

• Upsert – Updates existing records if the primary key matches, or adds new ones if it doesn’t; old records stay, even if the source file disappears.
• Full Refresh – If records disappear from source files, they’ll also be removed from the stream.

You can modify refresh modes after stream creation.

Finally, set your update frequency schedule. Without this, your stream won’t update even if new files appear in the source location.

Once you’ve reviewed all settings, it’s time to bring your data stream to life. Hit the “Deploy” button to start moving your data into Salesforce Data Cloud!

How data cloud handles file updates and refreshes

When working with data streams in Data Cloud, we discovered an important behavior.

Data Cloud tracks which files it has already processed by their filenames. If you update the contents of a file without changing its name, Data Cloud may not detect or process these changes in either refresh mode.

This becomes particularly noticeable when you expect a Full Refresh to completely update your data. Despite selecting this option, if your updated source file retains the same filename as the previously processed version, your changes might not appear in the stream.

For reliable updates, consider implementing a filename versioning system (like adding timestamps or version numbers) to ensure Data Cloud recognizes and processes your updated files.

Updating your stream settings after deployment

You can adjust certain stream configurations after initial setup. Adding formula fields remains possible, but it’s important to understand that these changes only apply to new data going forward.

For instance, if you create a ‘Full Name’ formula field that combines ‘First Name’ and ‘Last Name’, this field will only appear in records processed after you added the formula. Later, if you modify this formula to also include ‘Middle Name’, that updated version will only apply to records processed from that point on.

When your source data evolves to include additional columns, Data Cloud allows you to incorporate these new fields into your stream. Click ‘Add Source Fields’, and Data Cloud will display any new fields it has detected in your source. You can also manually add columns through this interface if needed.

Problem records DLOs

You may notice DLOs with names starting with ‘PR_…’ in your Data Cloud environment. These are Problem Records—a special category created automatically when Data Cloud encounters issues processing certain records from your data streams.

Problem Records contain data that couldn’t be properly ingested due to various issues like data type mismatches, missing required fields, or formatting problems. Data Cloud separates these problematic records instead of failing the entire batch, allowing successful records to continue processing while isolating the problematic ones for your review.

Checking and validating your ingested data

After successful data ingestion, you’ll want to verify the data quality and ensure everything imported correctly. Data Cloud offers two main tools for this purpose.

The simplest approach is to use Data Explorer, accessible from the Data Cloud menu. This tool provides a quick preview of your data and supports basic filtering capabilities, making it ideal for initial data validation.

For more comprehensive data validation, the Query Editor offers advanced capabilities. Also found in the Data Cloud menu, this tool incorporates Data Explorer functionality but adds powerful SQL-based analysis options. Here you can create complex queries with aggregations, advanced functions, and sophisticated filtering to thoroughly examine your data integrity and quality.

If your company has a strong data system already with data stored and transformed in cloud, it’s best to do the first quality checks there before sending data to Data Cloud. This helps catch and fix issues earlier in the data pipeline.

Still, even with clean source data, you should check how Data Cloud processes it. Data type conversions, formula fields, or connector-specific behaviors can sometimes alter data in unexpected ways. In these cases, Data Cloud’s native tools are ideal to test how your data is actually being processed within the platform.

The Query Editor is particularly valuable when you need to verify relationships between datasets, check for missing values, or validate business rules across your ingested data. Its SQL interface gives you the flexibility to construct exactly the verification checks your use case requires.

How to safely delete streams and data assets

When removing data assets from Data Cloud, understanding dependencies is essential. You cannot delete a DSO or DLO that has active connections to other components.

Streams mapped to data models must typically be unmapped before deletion. This becomes particularly challenging if the asset is used in identity resolution or calculated insights. Remember that dependencies flow downstream—a single DLO might feed into multiple models, segments, insights, and activation targets.

In certain situations, you can delete a mapped stream directly, specifically when the mapping exists but isn’t being used in any active downstream processes. However, this behavior isn’t consistent and shouldn’t be relied upon. In complex cases, you might need to delete an identity resolution ruleset first, then remap and reingest your data.

Plan your data architecture carefully from the start to avoid these complications. A clear understanding of your asset relationships will make future modifications much simpler.

Key takeaways

Setting up data ingestion in Salesforce Data Cloud takes careful planning and attention to detail. From choosing the right connectors and file formats to managing problem records and understanding dependencies, each step builds the foundation for reliable, scalable data operations.

Taking the time to get it right early will save you a lot of time, trouble, and costs down the road.

Need help setting up or optimizing your Salesforce Data Cloud? Our team is here to help. Get in touch to make your Data Cloud project a success.

The post The Complete Guide to Data Ingestion in Salesforce Data Cloud appeared first on scandiweb.

Emails contain valuable insights and communication patterns, but manually extracting this information is time-consuming and inconsistent. Employees often struggle to find relevant data across long email threads, leading to inefficiencies and missed opportunities.

While search functions help, they fall short in understanding context and identifying key patterns. To solve this, we use a prompt-driven AI approach to automatically summarize emails, extract insights, and recognize communication trends, streamlining the process and improving overall productivity.

How it works

Input

• Emails extracted from your inbox via Thunderbird, Google Apps Script, or Takeout
• Uploaded to OpenAI’s Vector Store through the Assistants API

Processing

• Emails are embedded and stored
• Natural language queries are matched contextually

Output

• Direct answers to inbox queries
• Thread summaries
• Extracted insights, displayed through a Streamlit interface

Example screenshots

Impact

• Saves ~10 hours/week per user
• Boosts productivity and email response efficiency
• Reduces manual email management tasks

Built with

• OpenAI Assistants API + Vector Store + GPT 4o-mini
• Streamlit Python framework for UI
• Thunderbird / Google Apps Script for email extraction

Complexity

• Medium

Looking to leverage modern AI tools within your company? Get in touch and explore next steps.

The post AI Agent Bites #2: Email as Knowledge Base appeared first on scandiweb.

Enviropack is a trusted name in the UK for sustainable food packaging. From biodegradable containers to compostable cups and branded takeaway solutions, they serve businesses across Europe—helping them lower their environmental impact without compromising on quality or presentation.

Lately, the brand has started showing up in a new place: AI-generated search results. And it’s not by chance. With one focused move, Enviropack is proving that even B2B businesses can win visibility in the age of AI-powered discovery.

Objective

Over 1 billion AI-assisted searches happen every day across platforms like ChatGPT, Gemini, and Perplexity. And that includes product sourcing, supplier research, and business recommendations—not just consumer queries.

As AI becomes the first stop for decision-making, even B2B brands need to be recommended by AI engines to stay competitive.

That’s why we decided to align Enviropack’s SEO with Answer Engine Optimization (AEO)—a strategy built to meet the way GenAI tools surface brands.

Approach

As part of ongoing SEO efforts, we made sure Enviropack would also show up in AI-generated answers.

We focused on updating the company’s Google Business Profile with clearer, intent-driven language—phrases that closely match how people search when they’re ready to buy or shortlist suppliers. The goal wasn’t to over-optimize, but to speak the same language as the questions AI tools are trained to answer.

By doing so, we made Enviropack more likely to appear in generative search results for relevant, high-intent queries. And it happened.

Results

As a result, Enviropack started surfacing in ChatGPT and Perplexity answers for prompts like:

• “eco-friendly food packaging suppliers in the UK”
• “top biodegradable packaging options”
• “where to buy sustainable food packaging”.

This visibility translated into real traffic gains. From January to March 2025, compared to the previous three months:

• 110% traffic increase from ChatGPT sessions
• +96% engaged sessions from AI
• +36% average engagement time

What began as a small, strategic update turned into a measurable lift in engagement from a brand-new traffic source.

Takeaway

AI search is quickly replacing traditional search engines for many users. In fact, 58% of consumers now use tools like ChatGPT to discover products and services. That shift is changing how both consumers and businesses decide who to trust. Because when your brand is mentioned in an AI-generated answer, it’s being endorsed by a source people trust: AI.

For Enviropack, showing up in those answers means being seen and trusted at the exact moment decisions are made. It also means they are securing their place in the buying journey for the future.

Search is changing. Is your brand ready? Contact us and let’s secure your place in AI results today!

The post How AEO Helped Enviropack Become a Top AI Pick for Sustainable Packaging appeared first on scandiweb.

Our B2B contact form captures minimal context about leads, leaving our sales team to manually research each one. This process is time-consuming, often inconsistent, and sometimes inaccurate. While third-party enrichment tools exist, they don’t always deliver complete or reliable data. To overcome this, we turned to a modern AI-first stack to automate and deepen lead enrichment.

How it works

Input

• Hubspot contact form submission.

Processing

• A Hubspot workflow triggers a webhook, which sends the form data to a Gumloop flow. Gumloop enhances the lead’s profile using LinkedIn and AI web research, and performs a “Deep Research” on the contact’s company.

Output

• Enriched data is sent back to Hubspot via an API call, while the “Deep Research” document is uploaded to Google Drive for easy access.

Example walkthrough

Impact

• By automating lead enrichment, the team has saved at least an hour each day, eliminating the need for tedious lead research and allowing them to focus on more impactful tasks.

Built with

• Hubspot
  • OpenAI Responses API + Search API
  • Custom Code node within form workflow
• Gumloop 
  • Call API nodes for Hubspot API
  • LinkedIn Company Scraper node for enrichment
  • AI Web Research via GPT 4o-mini node for enrichment and deep research

Complexity

• Medium

Looking to leverage modern AI tools within your company? Get in touch and explore next steps.

The post AI Agent Bites #1: Hubspot Form Enrichment via Gumloop appeared first on scandiweb.

Working with scandiweb was a really smooth and positive experience. They quickly understood what we needed, asked the right questions, and delivered content that matched our tone and message perfectly. Communication was easy, deadlines were met without any issues, and the whole process felt very professional but friendly at the same time. We’re really happy with the result and would definitely choose to work with them again.

Triinu Luidalepp
Baltics Customer Experience Manager

Smartpost Itella’s rebrand to SmartPosti marked a shift toward a more unified, customer-first identity under Posti Group. The brand was changing, and their digital presence had to catch up fast. This meant developing three new websites across the Baltics from the ground up—with fully reworked content, multilingual support, and a tone that was aligned with the brand’s direction. scandiweb joined to lead the content effort, writing, translating, and structuring the content to match the new brand voice, all on a tight timeline.

About

SmartPosti is a delivery service provider offering parcel locker, courier, and logistics solutions for private individuals and businesses. The company is part of Posti Group, a Finnish logistics and postal service operating across Finland, the Baltics, and other parts of Northern Europe. Together, they support millions of deliveries each year, serving eCommerce businesses, corporate clients, and everyday customers.

Posti Group has been investing heavily in modernizing its services and brand presence. As part of that effort, Smartpost Itella underwent a complete rebrand to become SmartPosti, bringing its look and feel closer to those of Posti.

Project goals

SmartPosti needed to rewrite the website content in its entirety for their rebranded platforms. Our goal was to write and translate content for all key customer touchpoints—consumer and business-facing—while adopting a new tone of voice. The tone had to shift from corporate and formal toward clear, warm, approachable, and helpful content for customers navigating parcel sending and delivery.

Approach

We joined early in the rebrand process as an extension of the SmartPosti team to take full ownership of the content side. Two dedicated copywriters worked across all three websites, supported by translators fluent in Latvian, Lithuanian, Estonian, and Russian. Everyone on the team understood the tone to limit revisions.

Content and translations within the brand ToV

We studied SmartPosti’s new tone of voice, pinpointed where the old sites fell short, and rewrote every page based on real user needs. That meant leaving behind any corporate tone of the old sites and creating content that was simple, caring, and direct. Help pages, self-service instructions, and B2B content were rewritten to sound more local and helpful. Everything was structured around clarity and relevance.

Because the team handling translations was already part of the project and familiar with the tone and context, it helped to get them right quickly. There was no back-and-forth with an outside agency, saving the client time, budget, and a round (or two) of revisions.

Structured delivery

To stay on track, we met with SmartPosti daily to review progress, ask clarifying questions, and flag any blockers. Content was tracked in shared spreadsheets based on the SmartPosti team’s requirements, grouped by priority and page type. 

Reworked pages included:

• Homepage
• Receiving and sending instructions with all subsections
• News
• Customer service
• Self-service
• FAQs
• About us
• Full B2B section

QA and SEO support

After the client’s team uploaded the new content to the websites via Contentful, we supported staging QA across all sites and languages.

Our SEO Specialist also handled 301 mapping to make sure existing traffic was redirected properly post-launch.

Results

• 3 new websites launched on time in Latvia, Lithuania, and Estonia
• Most of the content delivered in under two weeks, including translations
• Consistent tone of voice and clear messaging across four languages
• Fast collaboration through daily stand-ups and structured workflows.

SmartPosti successfully launched a new, customer-first experience across the Baltics with scandiweb as a content partner by their side to keep up with the pace.

Need content support for your next launch that is fast, multilingual, and on-brand? Let’s connect and see how we can help.

The post Copywriting Support to Launch 3 Rebranded Websites in Under a Month appeared first on scandiweb.

A boutique brand with handcrafted roots, Kouboo has broken into the top 3 recommendations in ChatGPT and Perplexity—listed right next to retail giants like Amazon and Wayfair.

The brand offers artisan-crafted home decor, including rattan furniture, wicker baskets, and coastal-inspired pieces. Kouboo proves that Answer Engine Optimization (AEO) can help even niche brands break through and compete with industry giants.

Objective

Kouboo had solid Google rankings, but was invisible in AI search. As more shoppers turn to tools like ChatGPT and Perplexity to make purchase decisions, that gap became impossible to ignore. In fact, over half of consumers (58%) now use Gen AI tools instead of traditional search engines for product and service recommendations—up from just 25% in 2023.

To stay competitive, Kouboo needed to claim visibility where buying intent is shifting: inside AI-generated answers.

Strategy

Instead of treating AEO as a separate initiative, we approached AI visibility as a natural outcome of applying user-centered, semantic SEO best practices.

While many factors likely contributed to Kouboo’s presence in AI search—such as strong customer reviews—our focus on strategic PDP and PLP optimization played a key role. We ensured that key pages were descriptive, relevant, and covered the subtopics and attributes users care most about.

We also secured external citations that reinforced the messaging presented on-site. This alignment between on-page content and off-page signals helped shape how both search engines and LLMs interpreted the brand.

Through continuous monitoring of Kouboo’s performance across leading LLMs, we refined and adjusted as needed. In the end, our combined efforts in SEO and AEO made the content more valuable to AI, resulting in meaningful visibility gains.

Results

As a result, Kouboo achieved 53% visibility in ChatGPT and Perplexity for high-intent prompts over a 7-day period, ranking #1 among all brands.

The brand appeared in the top 3 recommendations for prompts like “Where to buy rattan furniture in the US,” “Where to buy wicker baskets online,” and “Where to buy rattan chairs,” mentioned alongside major retailers like Amazon, Wayfair, IKEA, and Houzz.

Kouboo was cited across four product categories, including rattan furniture, chairs, baskets, and chandeliers.

Takeaway

As more consumers turn to AI tools like ChatGPT and Perplexity to ask where to buy, how to choose, and what to trust, brands can’t afford to ignore AEO in their strategy. Kouboo’s success shows that even small, product-focused businesses can stand out—if they speak the language AI understands.

Want your brand to appear at the top of AI-generated answers? Get in touch with us, and we’ll walk you through the first steps to making AI recommend your brand over competitors!

The post AI Search Optimization Helps Kouboo Break Into the Top 3 AI Answers appeared first on scandiweb.