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In the ever-evolving landscape of complex B2B commerce , the roles of operational systems like Order Management Systems (OMS) and Product Information Management (PIM) platforms cannot be overstated. However, some notable agencies and digital consultancies such as DEPT have been critiqued for weaknesses in their OMS and PIM capabilities. For B2B teams evaluating vendors and partners, understanding what this means—and whether it's cause for alarm—is crucial. Alongside in

In today's customer service landscape, voice bots powered by AI promise faster responses and seamless experiences. Yet, even with well-documented policies readily available online—for instance, the refund policy page on Air Canada's website—voice agents sometimes deliver incorrect information. How can this happen? And why isn’t it just a model failure? As someone who has led contact center QA for over a decade, then transitioned into voice-AI implementation consult

Private equity and venture capital firms increasingly rely on CRM systems not just for contact management, but as strategic platforms fueling deal sourcing, execution, and fund administration. However, not all CRMs are created equal. Depending on your firm’s priorities, you might lean towards a sourcing-led CRM that drives relationship intelligence and warm intros or a governance-led CRM built to control the investment committee (IC) workflow and streamline deal execu

Choosing the right platform for a headless composable commerce architecture is a strategic decision that impacts integration complexity, experience delivery, and long-term operational success. Two major players often considered in this space are Adobe and Salesforce . But do these platforms truly align with MACH principles and headless commerce demands? And how do teams like Netguru , Valtech , and DEPT approach partner evaluation in this evolving landscape?

In the complex world of voice agents and conversational AI, accuracy matters—especially when it comes to identifiers like account numbers, booking references, or ticket IDs. A seemingly small error such as mistaking "B three one seven two" for "B three seven one two" can cascade into costly mishandlings and customer frustration. This post explores why such transcription errors happen, the seven critical failure points in voice agent pipelines, and how leading companies like

As AI-powered writing tools like Suprmind.ai, Undetectable.ai (AI Humanizer), and Adobe Express (AI Text Effects) continue to enhance content creation workflows, the necessity for precise, reliable content briefs has never been greater. However, simply providing a prompt or a loose set of guidelines is no longer sufficient. Integrating well-defined brief constraints and a rigorous source policy into your content briefs guarantees better AI-assisted outputs without sac

When optimizing content for SEO, the structure you choose matters a lot. One popular practice is using question headings—especially as tags—to mirror common search queries and capture search intent more precisely. But is this approach truly effective? And how should businesses and content teams blend these strategies with multi-step AI-assisted publishing workflows to ensure quality and authenticity? In this post, we’ll unpack the pros and cons of using questions as H2 he

In the evolving world of customer service AI, companies like Suprmind , Air Canada , and OpenAI are pioneering conversational agents that improve speed, accuracy, and customer satisfaction. Yet, despite technological advances—from sophisticated speech-to-text and text-to-speech pipelines to Retrieval-Augmented Generation (RAG)—there remain predictable pitfalls and risks that can degrade trust with customers. One of the most critical best practices emerging fro