Use Cases

Real E-Commerce Problems, Solved

Every use case below is a real problem that costs e-commerce businesses revenue, returns, and reputation. Central solves each one systematically.

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Solutions

Pick your problem, see the solution

Fix Your Amazon Listings

Amazon rejections, invisible keywords, byte limit disasters, poor organic ranking. A single umlaut over the 250-byte limit and Amazon silently ignores ALL your backend keywords.

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Google Shopping Optimization

Truncated titles on mobile, disapproved ads from promotional language, wrong category mapping, wasted ad spend across 6,000+ product categories.

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Product Page Conversion

High bounce rate, customers leaving to research elsewhere across 15+ tabs, low conversion from uninformative product pages.

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Multi-Channel Content

Copy-paste the same description everywhere, fail everywhere. Google truncates it. Amazon rejects it. TikTok users scroll past it. Kaufland says 'Nein.'

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Brand Data Control

Wrong specs on third-party sites, AI agents learning from bad data, brand reputation shaped by third-party copy-paste jobs.

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SEO Without SEO Effort

No Schema.org markup, no rich snippets in search results, no FAQPage display, missing meta data, poor organic visibility.

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AI-Ready Product Data (AIO)

Products invisible to ChatGPT, Rufus, Perplexity, Google AI Overview. AI agents can't recommend what they can't understand.

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Reduce Product Returns

High return rate from wrong-fit purchases, negative reviews from unmet expectations, shipping costs eating into margins.

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Product Data Enrichment

Sparse CSVs with titles and prices only. Missing specs. Descriptions that say 'Premium. High quality.' No competitive context. No structured data.

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Replace Manual Content Work

20+ hours/week on listing optimization. Manual formatting for every platform. Still getting rejections. Copy-paste doesn't scale.

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