AI-Powered Successes
by Our Clients

Our Clients successes

AI-Powered Successes
by Our Clients

Let’s start the journey towards success and enhance revenue for your business.
Take your company to the next level leveraging with AI.

LJA New Media helped a $25M B2B SaaS firm unify customer data via AWS Glue and Redshift, deploy SageMaker AI models for churn/upsell prediction, and activate insights via Lambda & QuickSight—resulting in 33% lower churn and 112% upsell CTR growth in 90 days.
LJA New Media deployed an AWS-native AI solution for a $42M food manufacturer to automate quality control using Rekognition, centralize reporting with QuickSight, and build a real-time CFO dashboard with SageMaker—reducing QA time 71% and forecasting within ±5% accuracy.
LJA New Media partnered with a leading regional auto dealership group, to transform their inventory management processes. Previously reliant on DealerSocket’s Inventory+ platform, the client faced challenges with slow-moving inventory, limited forecasting accuracy, and missed growth opportunities. Within six months, LJA New Media implemented an AI-powered predictive inventory platform, enabling a 27% improvement in inventory turnover and a 15% uplift in gross margin per vehicle.
Discover how LJA New Media turned fragmented shop‑floor, ERP, and market data into a real‑time “crystal ball” that slashed unplanned downtime by 18 %, trimmed excess inventory 22 %, and delivered a 4× ROI in under six months—all with a lean, serverless AWS stack that required zero new DevOps headcount. This concise case study walks you through our step‑by‑step playbook, the exact AWS services we orchestrated, and the lessons manufacturers can apply immediately to unlock hidden profit and resilience. If you’re ready to see what pragmatic, LJA‑grade AI can do for a mid‑market budget, this is your must‑read blueprint.
Discover how a mid‑market manufacturer slashed its order‑to‑ship time in half and unlocked $4.2 million in annual savings—all within ten weeks—by layering serverless AI and automation on AWS instead of ripping out its legacy ERP. This quick‑strike transformation shows how LJA New Media’s AI‑Powered Process Automation framework turns scattered paper forms and spreadsheet bottlenecks into a fully predictive, self‑optimizing workflow that pays for itself before year‑end. Ready to see how fast ROI can happen? Dive into the full case study.
LJA New Media deployed an AWS-native AI scheduling model and workflow automation solution for a $35M logistics firm. Using SageMaker, Redshift, Glue, and QuickSight, they reduced overtime costs by 22% and manual reporting by 60% in just 4 weeks.
Mid-market B2B services company leveraged AWS-native infrastructure to build a unified KPI intelligence system with real-time dashboards, predictive analytics, and executive-level foresight—resulting in faster decisions and measurable revenue gains.
A leading national CrossFit franchise was losing millions in potential revenue due to a broken digital booking experience—only 39% of high-intent leads were converting. In just six weeks, LJA New Media deployed an AWS-powered AI booking assistant that transformed the process, driving a 47% lift in conversion rates, slashing booking times by 83%, and reducing studio admin burden by nearly 80%. This case study reveals how strategic AI integration—without ripping out legacy systems—can unlock rapid, measurable growth for mid-market brands.
LJA New Media helped a mid‑market SaaS firm skyrocket its SQL‑to‑win rate by 73 % and unlock $3 million in new ARR—in just 90 days—by layering AWS‑native, AI‑driven ICP modeling and real‑time revenue‑ops automation on top of the tech stack they already owned. This rapid, serverless deployment slashed CAC, shortened sales cycles, and put actionable propensity scores and deal insights directly in frontline reps’ hands. If you’re ready to turn data you already collect into predictable revenue growth, this five‑minute read shows the playbook.

Over 67% of mid-market firms admit
they need external help to fully leverage AI for revenue growth

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