What "We'll Build It Ourselves" Actually Costs
The internal build sounds reasonable in a meeting room. Here's what it looks like on a spreadsheet.
AI Infrastructure Costs
LLM API calls at scale (GPT-4, Claude) across thousands of products, plus vector databases, embedding infrastructure, prompt versioning, model monitoring, and fallback logic. These costs compound as your catalog grows.
€2K–€8K/month
In AI infrastructure alone for a mid-size catalog
Engineering & Data Science Salaries
1 ML engineer (€70K–€110K), 1 backend developer (€55K–€90K), 1 data/QA specialist (€45K–€70K). That's before benefits, equipment, and management overhead — for a problem Semantico solves from €4K/year.
€170K–€270K/year
In salaries alone — permanent hires for a solved problem
Time to Build — The Hidden Revenue Loss
Industry benchmark: 6–12 months from kickoff to production. During that time, your team is still doing listings manually, SKUs are delayed, and revenue is deferred. If 500 delayed SKUs each generate €50/month, that's €150K–€300K in lost revenue.
6–12 months
Before your first listing goes live
Ongoing Maintenance & Technical Debt
AI models update constantly. Ecommerce platforms change their APIs. Brand guidelines shift, SEO rules evolve, new channels launch — every update is an internal ticket. With Semantico, updates ship automatically.
Ongoing
Maintenance burden that never ends
Opportunity Cost
Every sprint your engineering team spends on catalog tooling is a sprint not spent on your competitive advantage. The best retailers don't build their own ERP, logistics, or payments — they integrate best-in-class solutions.
You're an eCommerce business,
not a catalog tech company.
Quality & Multi-Brand Insights
We work with dozens of multi-brand retailers and iterate based on their feedback. Build alone, and you're in an echo chamber.
Your V1 won't match
day one — or the feedback loop we already have.
Risk
What happens when your key ML engineer leaves? What if the project is deprioritised mid-build? Who owns the institutional knowledge? With Semantico: zero key-person risk, zero project cancellation risk, SLA-backed delivery.
Zero key-person risk
SLA-backed delivery
How the Two Options Stack Up
| Metric | Build In-House | Semantico |
|---|---|---|
| Time to first live listing | 6–12 months | 24 hours |
| Engineering headcount | 2–3 FTEs | 0 |
| Monthly AI infrastructure cost | €2K–€8K | Included |
| Annual total cost | €170K–€300K+ | From €4K/year |
| Ongoing maintenance | Your team | Semantico's team |
| Platform integrations | Build each manually | Pre-built & maintained |
| SEO optimisation built in | You build it | Yes |
| Multi-language support | You build it | Yes |
| Model updates as AI evolves | Your cost | Included |
| Speed to listing | Days to weeks | Minutes |
| Risk if key person leaves | High | Zero |
| Focus on core business | Diverted | Protected |
| Multi-brand ecosystem insights | Echo chamber — no external input | Continuous improvement from market leaders |
The Alternative to Building It Yourself Is Already Working
+8,000
SKUs listed in just one week
Farma2Go launched an entirely new veterinary product vertical — 8,000+ SKUs with descriptions, images, and translations — in 7 days with a team of one.
90% Faster
Time per listing cut from 10 min to under 1 min
What would have taken 1,300+ hours of manual work was handled by Semantico's AI in a fraction of the time — no extra headcount needed.
+50,000
Translations, all on-brand and ready to sell
Every listing translated into five languages without losing brand voice — powered by Semantico's built-in auto-translation and localization engine.
Before You Greenlight an Internal Build, Ask These Questions
Do we have an ML engineer who specialises in NLP and eCommerce product data on staff today?
If not, add 3–6 months of recruiting before the build even starts.
Can we afford 6–12 months of delayed listings while we build?
Every month of delay is revenue you're leaving on the table.
What happens to this project when the engineer who built it leaves?
Key-person risk is real. Institutional knowledge walks out the door.
Is building catalog tooling actually a core competency we want to own long-term?
You don't build your own ERP or payment stack. Same logic applies.
What is one month of delayed SKU launches costing us in deferred revenue right now?
Do the math. The number will make the decision for you.
If you can't answer all five confidently — you're not ready to build. You're ready to buy.
Give us 5 EANs. We'll show you a complete, live-ready listing in 24 hours. No commitment, no engineering required.
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