Over the last few years, AI has become more involved in all important aspects of businesses. It’s moved from “interesting experiments” to systems with real impact.

If you work in customer service or operations, you’ve probably felt this shift already. AI isn’t just answering questions anymore; it is doing something magical.

Choosing between Salesforce Marketing Cloud and Adobe Marketo Engage isn’t about going with the bigger brand or the longer feature list. Both are powerful. Both are proven. But the selection depends on what you want to achieve.

As businesses grow beyond borders, customer conversations no longer happen in just one language. A customer might start a chat in Portuguese, Spanish, or Japanese, while your support team operates entirely in English. What should be a quick, helpful interaction suddenly becomes a challenge.

For businesses aiming to grow across regions or go global, language is the key. The way you communicate shapes how customers experience your brand. Yet there’s one challenge no business can escape: we don’t all speak the same language.

A customer waits on hold for five minutes, then ten. By the time someone picks up, they're already frustrated and maybe browsing your competitor. Moments like these aren't rare. In fact, poor customer service costs companies upwards of $75 billion each year in the U.S.

For years, chat has been one of the most effective ways to deliver quick, cost-efficient customer support. It’s fast, scalable, and perfect for resolving simple queries without requiring one-on-one interactions.

No matter how hard testers try, achieving complete test coverage manually is nearly impossible. Every test needs data that looks real but is actually fake, and generating it the traditional way can be time-consuming.

Testing isn’t complete unless it covers various conditions, scenarios, or user roles. However, using real users or production data is often impractical or even risky. This is where realistic test data plays an important role. It bridges the gap between limited-scope testing and comprehensive testing that mirrors real-world usage.

Businesses are constantly exploring smarter ways to personalize customer experiences without overspending. But personalizing every interaction and doing it at scale has always been a challenge.

Generating realistic test data can be challenging, especially in Salesforce, where maintaining relationships between objects adds an extra layer of complexity. Fortunately, a powerful test data generation tool like Smock-it can simplify this process,

If you’re a Salesforce QA or developer, you have likely encountered the need to generate mock data. Let’s face it, manually creating test data is time-consuming and not scalable when working with large datasets. This is where free mock data generation tools like Mockaroo and Smock-it come into play.

Lumi AI voice assistant. An Agentic AI chatbot that doesn’t just respond but truly understands, engages, and solves problems in real time. Say hello to Lumi, the AI voice assistant that doesn’t just talk, she understands  your intentions — what you want and takes action.

We’re excited to take the big next step with Smock-it V3. A smarter, faster, & more streamlined way to generate Salesforce test data that mirrors real-world scenarios.

Tired of flaky tests in Salesforce CI/CD? Discover how Smock-it GitHub Action automates test data generation—boosting speed, consistency, and compliance across scratch orgs, UAT, and sandboxes. Explore setup, use cases, and FAQs!

Want to create test data for Salesforce within minutes? This blog explores the prospects of using Smock-it, a Salesforce CLI plugin designed to simplify synthetic test data generation in Salesforce.

Snowfakery and Smock-It are two powerful Salesforce test data generation tools. But which one is the right fit for you? Let’s compare their features, automation, and ease of use to help you decide.

Smock-it is a CLI-based plugin that quickly generates realistic mock data for testing. It's ideal for QA professionals, developers, and Salesforce admins, helping them validate system functionality and workflows while safeguarding customer data privacy.