CASE STUDY
How did we help Goodz?
Goodz, the UAE’s leading second-hand furniture marketplace, faced a major bottleneck on the supply side—scaling seller acquisition without burning team bandwidth or compromising listing quality.
With xScale.s AI Marketplace System , we automated the entire seller onboarding lifecycle, from qualification to listing optimization. Voice agents, chatbots, and AI-enhanced image and content processors now handle what once took a full operations team.
In just weeks, Goodz unlocked high-volume seller acquisition, enhanced listing quality across the board, and secured strong investor attention.
$218K
Annual Amount Saved
17.3x
ROI on Valuation Increase
4.5x
Seller Processing Speed
7.4K+
Annual Manual Hours Saved
PROCESS
How AI helps Goodz manage thousands of orders effortlessly
Step 1 – Multi-Channel Ingestion Pipeline
Seller data now enters via form , voice , or chat , and is routed into a structured intake layer . Inputs are pre-cleaned, typed, and validated using regex filters and category classifiers. Inconsistent fields are auto-aligned through dynamic field mapping .
Step 2 – Autonomous Workflow Execution
We built event - based flows using n8n, combining rule-based triggers and LLM-driven logic for KYC, listing checks, and follow-ups. Voice agents handle data validation, while chatbots manage seller issues. Over 80% of actions now run without human ops.
.png){kind=icon}
Step 3 – AI Enrichment Engine
Images are processed with vision models to assess framing, lighting, and object type. Descriptions are rewritten using embedding - based NLP and category-aware templates. Each listing is now clean, standardized, and optimized for discoverability.
Step 4 – Human-in-the-Loop Review
Complex cases are automatically flagged and sent to a human moderation queue for manual review (Human-in-the-loop) . AI decisions are continuously evaluated through real-time analytics in Metabase. This hybrid approach guarantees accuracy while maintaining operational efficiency.
Technologies USED
.png)
.png)
FAQ
Frequently Asked Questions
We start with high-impact, rapid-win AI automation, delivering measurable results in weeks. From sales and marketing acceleration to financial optimization, operations streamlining, and HR automation, we engineer AI-driven workflows that cut inefficiencies and maximize EBITDA.
We select high-growth, tech-driven leaders—the next category kings. If you’re a Series A to Pre-PE startup, generating €10M+ in revenue, with a team of 50+, and you’re serious about scaling EBITDA, cutting inefficiencies, and securing top-tier funding, then you might be a fit. Apply now and see if you qualify.
We move at startup speed. Expect AI-powered optimizations live in 4 to12 weeks, with measurable impact from month one—faster sales cycles, reduced costs, and higher margins. No long dev cycles. No wasted time. Just immediate,bottom-line results.
Yes. No rip-and-replace needed. Our AI integrates seamlessly with your CRM, marketing stack, finance systems, and custom tools, optimizing workflow swithout disrupting what works. You scale smarter, not harder.
We are ROI-oriented.On average, our startups up to €2M in annual costs, reduce cash burn by 50%,and free up 30% of working capital. The result? €5M to €20M+ in additional enterprise value, faster funding rounds, leaner, profitable and investor-ready business.
Our AI solutions are customized for each industry, ensuring effectiveness by addressing specific sector challenges. This targeted approach guarantees that your business sees relevant improvements and competitive advantages in your specific market.
xScale.ai is not just a technology provider but a strategic partner that ensures startups achieve high-margin growth and readiness for investment. Our comprehensive approach integrates AI deeply across business functions, making your operations efficient and scalable.
We implement rigorous security protocols and comply with the highest data protection standards to guarantee that your data is handled securely. We also tailor security measures to align with your specific privacy requirements.