Stop Retyping.
Your inbox is flooding with orders (PDFs, Excel files, emails). Our Order Validator reads them automatically, checks them at lightning speed and only routes exceptions to your team. No more spreadsheet hassle, no copy-paste marathons—you focus on deals and deliveries.
What it does
- Automatic reading of orders from email, PDF and Excel.
- Validate & enrich: item codes, quantities, prices, delivery times, delivery addresses, references.
- Smart checks: inventory & substitutes, duplicates, credit/contract terms, regional delivery data.
- Seamless booking to ERP (including Oracle, SAP); with full audit trail.
- Human in the loop: only exceptions go to your team—not the data entry.
Why it matters
- Process thousands of orders automatically and shorten turnaround from hours to minutes.
- 80%+ less manual work; lower error rate, higher customer satisfaction.
- Scale with peaks without extra FTEs.
Ready to remove the bottleneck from your order flow? Our AI handles the routine, your team handles the exceptions. Read more about our approach below.
Keeping AI Within the Lines
The most common complaint about AI is understandable. Answers sound convincing but aren't quite right. In jargon that's called hallucination. It feels like a smart intern who formats your email flawlessly but sometimes puts in the wrong date.
Fortunately you can steer AI without restricting creativity. You give the system a framework, a playing field with clear rules. Within that field it can move freely and create new combinations—outside it, it cannot. In practice this works with three solutions that reinforce each other. 1) You agree on an output format so everyone knows what the result looks like. 2) You provide a small toolbox with functions that are actually allowed to do things, like calculating or retrieving a price list. 3) You place a validator behind it that checks whether the proposal meets your rules.
JSON plays a key role here. JSON stands for JavaScript Object Notation and is really nothing more than a simple way to exchange data. It's reasonably structured, machines can read it directly, it connects to existing software and you can easily attach rules to it. If you ask an agent to always respond in JSON, you don't get loose paragraphs but an object with labeled fields. Each field has a name and a value. Those values can be held to strict or lenient requirements.
A code tool is where language briefly makes way for facts. Your agent can, for example, call a function that retrieves current inventory, recalculates a price or sends a proposal for verification. For the agent this feels like a button labeled "let me make sure now." This prevents guessing whenever an answer falls outside the comfort zone.
The validator is the referee. You describe your domain in rules, for example with Pydantic in Python, and you publish a microservice where a proposal can be checked. This can run on Azure or another cloud. The agent sends its JSON to that address and gets a clear answer back. All OK means straight through to the next step. Error means a list of what's wrong and why. The agent then adjusts the proposal and tries again. That rhythm is pleasant because it's predictable and educational for the model, and it's transparent for your organization.
Happy Meal
Take something everyday. A Happy Meal. You want a main course, a side, a drink and a toy. The choice isn't infinite and that's exactly what's useful. If your agent sometimes comes up with sushi or a Big Mac for a kids' menu, your rules aren't sharp enough yet. With JSON the question is clear and with a validator the boundaries are visible. The agent learns that chicken nuggets means four pieces, that fruit and ketchup together doesn't make sense, and that water is always fine. The result always matches the imposed rules.
From Happy Meal to Manufacturing Company
The same pattern works for customization in a business. Suppose you supply doors to business customers. Lengths can be ordered in certain sizes, colors come from a RAL set, hinges go left or right, and some combinations you don't want because they'll never make it through the factory. Let the agent make a proposal in JSON, run it past the validator that knows your ERP and only accept what's correct. Your quote flow stays fast and your operations stay calm.
Why JSON Often Wins
JSON gives you three advantages at once. It enforces clarity, it's directly usable for machines and it makes errors traceable per field. If something goes wrong, you know exactly which field it concerns. That's practical for an agent that wants to course-correct and gold for a team that wants to learn from real cases. You see patterns, you sharpen your rules and you immediately see which part of your data is outdated.
Connecting to Your Validator
The connection to a validator doesn't have to be complicated. Think of a small web address where you send a JSON payload. The server tries to pour that payload into your Pydantic model. If it works, a green light follows with cleaned-up data. If it fails, you get a clear explanation per field. In words that's much more pleasant than a vague error. The agent can read "color unknown, choose from RAL7016, RAL9005 or RAL9006" and adjusts the proposal immediately.
Combine this with a code tool that's allowed to call the web address, and you have a reliable loop. The agent thinks, the validator tests and the agent corrects where needed. After a few rounds you have a proposal that's correct within your domain and that fits right into your workflow.
Let Your Rules Move with Your ERP
The best version of this system is directly integrated with your business data. Have your ERP publish a list every night with valid items, colors, sizes and price limits. Have your validator read that list and turn it into rules. You don't need to retrain your agent, nobody needs to maintain a document—you only need to keep the source current.
What You Get from This
You reduce hallucinations without suffocating the system. You get answers that are creative within boundaries you set. Your team looks less at loose text and more at structured proposals you can safely automate. You learn faster from mistakes because every error has a field and a reason. And your customers mainly notice that things run smoothly. The child gets a Happy Meal, the company gets a quote that can go through the factory and nobody needs to explain why sushi doesn't belong in a kids' menu.
Next Step
With Pantalytics your support team gets an autopilot that takes repetitive steps off their hands. You gain speed and quality, without sacrificing the human side. Schedule a demo or get in touch to see how this works in your environment. Together we set up an initial flow that delivers value within days and can submit orders into your ERP system.