Launched AI-powered analytics for textile outsourcing industry

Imagine if your supply chain operated with complete transparency—no more hidden inefficiencies! Many enterprise innovators today grapple with visibility across complex supply chains, leading to significant delays and unnecessary costs. Implementing AI can bridge this gap by delivering real-time insights that enhance coordination and responsiveness across departments. To get started, consider leveraging AI-driven tools like Supply Chain Control Towers that consolidate data from various sources into a unified dashboard. This allows for proactive decision-making and quicker response times to any disruptions. Additionally, explore predictive analytics to optimize inventory management, ensuring you have the right stock levels at the right time. What’s your biggest automation roadblock? Let’s discuss how we can overcome these challenges together!

“Use your data” sounds great. But in logistics, data is scattered, incomplete, or buried inside tools that don’t talk to each other. Here’s the reality: you can’t empower teams unless the data is complete, connected, and fast to access. By combining WMS, operational, and brand-side data, you can create a single layer teams can actually work with. From there, it’s about the tools—analytics, AI, automation—but none of that matters if the foundation isn’t there. If your team is still piecing together reports or spending hours chasing down numbers, it’s not a data problem. It’s a systems problem. And it’s solvable.

𝗜𝗳 𝗠𝗰𝗗𝗼𝗻𝗮𝗹𝗱’𝘀 𝗿𝘂𝗻𝘀 𝗼𝗻 𝗰𝗲𝗻𝘁𝗿𝗮𝗹𝗶𝘇𝗲𝗱 𝗱𝗮𝘁𝗮, 𝘄𝗵𝘆 𝗱𝗼𝗻’𝘁 𝗺𝗼𝘀𝘁 𝗱𝗲𝗮𝗹𝗲𝗿𝘀𝗵𝗶𝗽𝘀? Global brands already use Customer Data Platforms (CDPs) to unify every touchpoint, personalize experiences, and power AI. But here’s the irony: dealerships arguably need this even more. Because unlike fast food or retail, your business lives and dies by relationships, with customers who buy once and service for years. Yet most groups still run in silos: CRM over here, DMS over there, service data somewhere else. That disconnect: ❌ Blocks a true 360° view of the customer ❌ Weakens loyalty + retention efforts ❌ Limits the power of AI to guide smarter decisions A CDP for dealership groups flips the script: ✅ Every rooftop working from one truth ✅ Data powering AI for personalization & retention ✅ Leaders making decisions with confidence, not guesswork If the biggest brands in the world see data centralization as essential, shouldn’t dealerships? where customer trust matters most. Ready to see how centralizing data fuels AI and retention? Reach out or find out more at https://www.nfqauto.com

Had a stimulating discussion with delivery leaders on enhancing service delivery through innovation. Here's a glimpse at the key points discussed: 🔹 **Technology** - Leveraging AI & Predictive Analytics - Implementing Automation & Robotic Process Automation (bots) - Utilizing Self-Healing Systems 👉 This leads to faster resolution, reduced downtime, proactive support, lower cost-to-serve, and improved end-user satisfaction. 🔹 **Process** - Embracing Shift-Left & Knowledge Management - Implementing Cross-Squad Playbooks - Establishing a CSI Pipeline 👉 Resulting in fewer escalations, consistent delivery quality, improved MTTR, and enhanced overall accountability. 🔹 **Experience** - Introducing Self-Service Portals - Implementing XLA Measurement - Developing Governance dashboards 👉 Bringing about reduced ticket volumes, faster response times, improved end-user satisfaction, and enhanced perceived service quality. Innovation in these areas not only streamlines operations but also elevates the quality of service delivery, ensuring a seamless and efficient experience for all stakeholders. #ServiceDelivery #InnovationFramework

The Future of Work for SMEs: AI, Automation, and Human Potential For decades, conversations about the “future of work” were dominated by predictions of massive job losses to automation. But in 2025, we’re seeing a more nuanced reality—one that holds particular promise for small and midsized enterprises (SMEs). AI and automation are no longer tools reserved for Fortune 500 companies. SMEs are increasingly adopting intelligent solutions that handle repetitive tasks—like data entry, customer support triage, and compliance monitoring—at a fraction of the cost of traditional systems. This isn’t just about cutting costs. It’s about freeing human talent to focus on creativity, relationships, and innovation. Research from the World Economic Forum shows that while 85 million jobs may be displaced by automation by 2025, 97 million new roles could emerge—roles that blend technology with uniquely human skills. For SMEs, this shift represents an opportunity to leapfrog larger competitors by: 1.     Re-skilling and upskilling teams to work alongside AI, not compete with it. 2.     Building agility into workflows, so employees can adapt quickly to new tools and market demands. 3.     Reimagining leadership, where decision-making is informed by data but driven by human judgment and empathy. SMEs that embrace this human-AI partnership can transform their workforces from simply being “efficient” to being truly innovative and future-ready. This isn’t just a technical change—it’s cultural. The organizations that thrive will be the ones that view technology as a collaborator, not a threat. At Thinkforces Advisory Inc., we help SMEs design strategies that align digital transformation with human potential. From AI readiness assessments to workforce change management, we partner with growth-minded leaders to ensure their people are not left behind, but are positioned at the center of transformation. The future of work is not about replacing humans with machines—it’s about empowering humans with smarter tools. Is your organization ready? https://lnkd.in/gFxfdRhr Thinkforces Advisory Group Paul Javadi MBA, CPA, CMA Karen Ryan Doug Harrison Mark Kummer, CSL Rebecca Shipman Amanda Walt Dan Killey Andrew Devlin Rahul Raina Fadi Yaacoub Mathew Aguiar Greg Hansen Chris Mantie Nick Hodson Deanna Hanley Mina Worthington Oleg Lebedko Alissa Sykes Tulloch Howard Meller Lorrie Fox Richard Garcia Zbigniew Rogalski, MBA Nick Frungillo Judy Britt Cavanaugh, CAMS, PA, CUCE, BSACS Lorraine Romano Christopher J. Hartsough Rina Pantano Marie Holowka-Bedatsky Lori Downing MaryAnne Melanson Jill Peterson Keith Stone Mike Valentine Tom Kane Kelly McDonough Todd Gunderson Gene Novello Michael Abraham Steven Bugg Jessica Rippon, MBA, SA, POPM David Kaczmarski #FutureOfWork #SMEs #ArtificialIntelligence #Automation #DigitalTransformation #Leadership #Thinkforces #HumanPotential

The Future of Work for SMEs: AI, Automation, and Human Potential Rob Grundison Frank Beachnau Mike Schilling A. Wayne de Leeuw Robert McKay Susan Mervyn Richard Davies, MBA, FCUIC John Doran, CPA, CA, CFA, C.Dir. Aron Rogers Doug Conick CPA, CA Glenn Benischek Mandi Paquin-Johnson, M.B.A Geri McCuish Agnes Roter Dwight Rodgers

Why SMEs Can’t Afford to Ignore AI in Their Digital Transformation Journey For years, artificial intelligence (AI) was seen as the exclusive domain of tech giants and Fortune 500 companies. But that’s no longer the case. Today, AI has become the great equalizer for small and midsized enterprises (SMEs), giving them access to the same tools and insights once reserved for big players — but without the prohibitive price tags. The key shift is affordability and accessibility. Cloud-based platforms, no-code AI solutions, and software-as-a-service models mean SMEs can now implement AI at a fraction of the cost it would have taken even five years ago. Instead of requiring massive infrastructure or specialized data science teams, today’s solutions are designed to plug directly into existing systems. This lowers the barrier to entry and accelerates return on investment (ROI). So, what does this mean in practice? For SMEs, AI is not just about “future-proofing” — it’s about making immediate gains that impact the bottom line. Automation: Repetitive manual processes — from invoice management to scheduling to compliance checks — can be automated with AI. This frees up valuable time and reduces costly errors. Customer Personalization: AI-driven analytics help SMEs understand customer behavior at a deeper level. Tailored marketing campaigns, product recommendations, and support interactions improve client loyalty and retention without scaling headcount. Market Forecasting: Predictive analytics give smaller businesses the ability to anticipate market shifts, manage supply chain risks, and make more confident investment decisions — a capability once limited to large corporations with expensive research teams. What’s most powerful is that AI doesn’t just make SMEs more efficient — it makes them more competitive. With the right AI tools, an SME can deliver experiences and insights that rival or even surpass those of larger, resource-rich competitors. In markets where customer expectations are rising, this agility can make the difference between winning new opportunities and being left behind. The message is clear: ignoring AI is no longer an option. For SMEs, adopting AI isn’t about chasing trends — it’s about survival, growth, and unlocking new possibilities that drive meaningful results. At Thinkforces Advisory Inc., we specialize in helping SMEs integrate AI into their digital transformation strategy in practical, results-driven ways. If you’re ready to explore how AI can create an edge for your business, let’s start the conversation. https://lnkd.in/gFxfdRhr #AI #DigitalTransformation #SME #SmallBusinessGrowth #ArtificialIntelligence #FutureOfWork #Automation #CustomerExperience #MarketForecasting #ThinkforcesAdvisory #BusinessStrategy #Innovation #TechForSMEs Thinkforces Advisory Group Paul Javadi MBA, CPA, CMA Karen Ryan Doug Harrison Rebecca Shipman Lena Halliwell Fadi Yaacoub Charlyne H. McWilliams Mark Kummer, CSL Dan Killey Aron Rogers

AI is no longer “nice to have” for SMEs — it’s becoming the competitive edge. The most successful transformations start small, deliver quick wins, and grow with confidence. Doug Conick CPA, CA Rob Paterson Jon Dessau A. Wayne de Leeuw Matthew Jennings Joel Lalonde Tim Klassen, MBA, CCE Glenn Benischek Chip Lusk Oleg Lebedko Chris Parker Scott McFarland Todd Lane David Tuyo Shane Saunders Shelley McDade Dean Gagné Nathan Grossenbach #BusinessGrowth #SMELeaders #DigitalInnovation #AIinSMEs #Thinkforces

𝗦𝗼𝗺𝗲𝘁𝗶𝗺𝗲𝘀 𝗶𝘁’𝘀 𝗮𝗯𝗼𝘂𝘁 𝗳𝗮𝘀𝘁𝗲𝗿 𝘀𝘁𝗲𝗽𝘀. 𝗦𝗼𝗺𝗲𝘁𝗶𝗺𝗲𝘀 𝗶𝘁’𝘀 𝗮𝗯𝗼𝘂𝘁 𝗿𝗲𝗶𝗺𝗮𝗴𝗶𝗻𝗶𝗻𝗴 𝘁𝗵𝗲 𝗳𝗹𝗼𝘄. Most early agentic AI pilots focus on automating steps. Useful, but it rarely changes the game. The bigger wins come when workflows are reimagined. Take supply chain planning. Instead of “data pull → forecast → report,” an agent can reconcile mismatches, flag anomalies, and suggest corrective actions — all in one loop. Or finance operations. Rather than just routing invoices, an agent can verify vendors, match POs, detect anomalies, and handle exceptions. But here’s the catch: these gains holds advantage if agents sit on a platform that connects systems, ensures observability, and keeps outcomes measurable. The impact isn’t just faster steps. It’s fewer steps, smarter flows, and results that weren’t possible before. How are you approaching this in your organization, step automation, workflow reinvention, or building the foundation for both? #AgenticAI #EnterpriseAI #Automation #WorkflowDesign

Siloed AI — It Only Looks Smarter, It Acts Worse AI solves problems—but only when it's all connected. In logistics, fragmented systems and isolated tools create invisible drag that slows everything down. Want to break free from "Reactive AI"? That's only a short cut to chaos. In our new blog, we show why modular, integrated AI systems—backed by clean data and unified workflows—are the real path to sustainable efficiency and smarter operations. Curious how to actually build that? 👉 Read the full article here: https://bit.ly/47k1775 Discussion Starter: Have you witnessed an AI-powered solution break down because data was siloed or inconsistent? #LogisticsInnovation #AIinLogistics #Automation #TechForLogistics #DataIntelligence