Check mixed-product supplier bills
Review each extracted fertilizer, seed and pesticide line separately. Match the unit, batch information and configured tax details to the correct catalogue product instead of accepting a similar name automatically.
Agro dealers can upload distributor bill photos or PDFs and use Kroply OCR to extract purchase details into a reviewable draft. Approved values can then be saved to supplier, purchase, tax, and inventory records.
Handle Mixed Agricultural Product Bills More Carefully
Agro dealers may purchase fertilizer, pesticide, seed, and other farm inputs from several distributors. Those invoices can use different product descriptions, pack sizes, tax treatments, and batch formats. Kroply OCR reduces repeated typing by proposing structured line items while keeping the original invoice available for comparison.
Before saving, the user can review product matches, quantities, units, purchase rates, tax amounts, and any batch or expiry information present on the bill. This avoids treating OCR as an unquestioned source of truth and helps maintain reliable stock and supplier ledgers.
A Practical OCR Review Checklist for Agro Dealers
- Confirm that the selected supplier matches the uploaded invoice.
- Check product names against the shop catalog, especially distributor abbreviations.
- Verify pack units, quantities, free quantities, discounts, and purchase rates.
- Compare GST and HSN details with the source document.
- Review batch and expiry values before they become part of stock records.
Connected Purchase and Inventory Records
After approval, the purchase can support supplier history, payables, product stock, and business reporting inside Kroply. Shops that want to understand the surrounding workflow can also review supplier management, inventory management, and the detailed OCR guide.
When to Retry Instead of Saving
Retake or re-upload the document when pages are cropped, text is unreadable, totals are missing, or many lines are unmatched. Clear documents and deliberate human review produce better records than accepting an uncertain extraction.