Get Started Now
Today’s a huge milestone at ThinkVAL.
We’re launching ChatVAL beta, our experimental AI assistant that lets you ask business questions and get real answers — instantly, in plain English, powered by your actual operational data.
Sounds like ChatGPT?
Yes — but built for F&B and Retail, with one massive difference:
👉 ChatVAL runs on your structured, reconciled, business-ready data.
👉 It doesn’t guess. It knows. Because we’ve been building the foundation for this day over the last 4 years.
🎯 Why ChatVAL actually works (and others won’t)
Here’s the thing no one says out loud:
You can’t just plug raw data into AI and expect useful insights.
Most teams trying ChatGPT for ops end up stitching spreadsheets together, uploading reports one by one, and still getting wrong or vague answers. That’s because AI is only as good as the data it gets — and raw data just isn’t good enough.
What makes ChatVAL different is everything we’ve already done:
🧱 The foundation we’ve built — just for this
✅ 4 years building the data groundwork — not for AI, but for real operational clarity
✅ 70+ connectors across POS, delivery, payment, HR, loyalty, and more
✅ A proprietary structured domain data model (VAL Lab) to standardise everything
✅ Business-specific logic built in — from fee reconciliation to promo performance to loyalty impact
✅ A reliable data pipeline that prepares, cleans, and calculates the data before the AI touches it
✅ Hundreds of data scenarios — shaped by working with 90+ brands and 500+ outlets, so ChatVAL never has to deal with messy data. We’ve already handled that — upstream.
We didn’t build an AI tool.
We built the platform that makes AI actually usable.
If you’ve ever wished your data could just tell you what’s going on — this is it.
🧠 What ChatVAL can do:
💬 Ask it questions like:
- Which outlets has a decrease in revenue from delivery platform last week?
- How are we performing across lunch vs dinner on Joo Chiat Outlet
- Why is my POS revenue different from Grab settlement reports in the month of Feb?
- What is the common dispute reason for Food Panda?
And it answers — clearly, accurately, and instantly.
Because the heavy lifting is already done.
💡 Get started faster — with SME-designed prompts
Not sure what to ask?
ChatVAL comes with a built-in prompt library, crafted by F&B subject matter experts. These aren’t generic examples — they’re battle-tested questions operators ask every day, across finance, ops, marketing, and more.
👉 Want to spot sudden dips in weekday sales?
👉 Track a new promo's effect on delivery orders?
👉 Find out why sales drop, is it because of delivery, mealslots, etc.?
Start with a prompt. Refine it. Make it your own.
ChatVAL doesn’t just answer questions — it helps you ask the right ones.
💡 This is just the beginning
Every automation we built.
Every reconciliation logic we modeled.
Every system we integrated.
Every messy, misaligned data source we mapped and cleaned…
It was all so this could happen.
So AI could finally speak your language — the language of your operations.
👉 And we’re just getting started.
As ChatVAL evolves and as you feed more context into VAL, it’ll gain more context, more relevance, and more personalization — for your business.
The future isn’t just “AI for F&B and Retail”
It’s your AI — trained on your ops.
If you think you can DIY this by stitching a few spreadsheets into ChatGPT — think again. This isn’t a one-time setup. It’s about sustainable maintenance, cost-effective scale, and not needing to hire an entire IT team just to keep it running.
🧪 Want to try it?
ChatVAL is in early access. In the upcoming weeks, we're rolling it out selectively to brands ready to see what this next-gen experience feels like.
📩 Drop me a note if you are interested in getting your hands on it: melvin@thinkval.com
🌐 Or visit: thinkval.com
This isn’t just AI. This is 4 years of groundwork — now in conversation form.
Let’s make operations smarter, faster, and finally… easier.