| Pain Point | What Happens Without Sheetize AI |
|---|
| Manual Look‑ups | Teams spend hours writing VLOOKUPs or pivot tables to answer simple “how many” questions. |
| Inconsistent Data | Different developers implement ad‑hoc parsers, leading to bugs and duplicated logic. |
| Scalability Limits | Querying large CSVs or XLSX files with pure .NET code can hit memory or performance bottlenecks. |
| User Experience Gap | End‑users must export the file to another tool (Power BI, Tableau) to get insights. |
| Solution: Sheetize AI .NET SDK – ask a question in plain English (or any supported language) and receive a structured answer (JSON, DataTable, or POCO) directly from the spreadsheet file. | |
Core Benefits at a Glance#
| Feature | Benefits |
|---|
| Natural‑Language Queries | No need to know the exact column names or write complex LINQ; just ask “What was the total sales for Q2?” |
| Multi‑Format Support | Works with XLSX, XLSB, CSV, XML, and even password‑protected workbooks. |
| Scalable Engine | Streams data, and can be run inside micro‑services. |
| Secure & Offline | All processing stays on‑premises; no data leaves your environment. |
Asking a Question – 5‑Line Sample (XLSX → Answer)#
using Sheetize.AI;
string ApiKey = "";
string ApiUrl = "https://llm.professionalize.com/v1/chat/completions";
Configuration.Model = Model.Recommended;
SheetizeAI sheetizeAI = new SheetizeAI(ApiKey, true, ApiUrl);
string result = await sheetizeAI.SpreadsheetQuestion("D:\\Sample.xlsx", "How many nights Christopher Wright will work?");
Console.WriteLine(result);
// Alternative: Using TextWriter to write to the console instead of using Console.WriteLine
TextWriter writer = Console.Out;
await sheetizeAI.SpreadsheetQuestion("D:\\Sample.xlsx", "How many nights Christopher Wright will work?", writer);
Real‑World Scenarios Powered by Sheetize AI#
| # | Use‑Case | Input | Typical Question | Business Impact |
|---|
| 1️⃣ | Financial Dashboard | Large CSV of transactions | “What’s the month‑over‑month growth for Europe?” | Instant KPI updates, 5× faster reporting |
| 2️⃣ | Customer Support Analytics | XLSX with ticket logs | “How many tickets were resolved in under 2 hours last week?” | Faster SLA monitoring, reduced churn |
| 3️⃣ | Education Platform | XLSM workbook with grades | “Show the top 5 students by average score for Math.” | Automated leaderboards, higher engagement |
| 4️⃣ | Supply‑Chain Optimization | XML inventory feed | “List all items where stock < 50 and supplier = ‘Acme Corp’.” | Prevent stock‑outs, 20 % inventory cost reduction |
| 5️⃣ | E‑Book Publishing | EPUB containing embedded workbook | “Export the chart data for chapter 3 as CSV.” | Seamless content repurposing, lower manual effort |
Developer FAQ#
| Question | Answer |
|---|
| Does the SDK work on .NET 8 and .NET 6? | Yes – it targets .NET Framework 10, so all modern runtimes are supported. |
| Can I query encrypted Excel files? | The library can open password‑protected workbooks if you provide the password. |
| Support options? | Paid licenses include 24/7 email and chat support; community forums are free for trial users. |
Call‑to‑Action Ready to turn every spreadsheet into an instant knowledge base?#
- Install the NuGet package (
Sheetize.AI). - Run the “Hello‑Question” console app (use the code snippets).
- Integrate into your API – expose a
/ask endpoint that forwards user questions to Sheetize AI. - Contact Sales for bulk‑license pricing, on‑prem deployment, or custom model fine‑tuning.
Bottom Line Sheetize AI .NET SDK is the only library that lets you ask natural‑language questions directly against spreadsheets, CSVs, and XML files—delivering instant, structured answers without moving data to the cloud. > Start asking questions. Get answers. Accelerate your business.#
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