Print-on-Demand Order Fulfillment Time Badge

WHAT IT DOES

This userscript helps shoppers understand how long it will take to receive print-on-demand products by displaying fulfillment time estimates directly on product pages. It scans pages on Redbubble, Printful, Teepublic, Society6, Zazzle, Etsy POD listings, and similar sites for production time, shipping estimates, and delivery date ranges. It extracts the time information and displays a visual badge or panel showing the fulfillment speed category—"Fast: 2-4 days", "Standard: 5-7 days", "Moderate: 8-14 days", "Slow: 15+ days". It calculates an estimated delivery date based on the current date and highlights faster products with a green badge. It also flags unusually slow fulfillment times with a warning, helping you make informed purchasing decisions based on how quickly you need the item.

WHERE IT RUNS

The script works on print-on-demand product pages—Redbubble, Printful, Teepublic, Society6, Zazzle, Etsy POD listings, and similar custom merchandise sites. It runs entirely within your browser, reading only the visible content of the current page. It does not track your browsing history, access other tabs, or send any data externally. All processing is performed locally.

HOW TO USE

After installation, open the panel by clicking the tool's icon in the BotGentz sidebar. Choose your display mode—"Badge only" shows a floating badge in the corner, "Panel only" shows details in the panel, or "Both" shows both. Toggle "Show estimated delivery date" to display the calculated delivery date based on the fulfillment time. Toggle "Highlight fast fulfillment (≤3 days)" to highlight products with the fastest shipping. Toggle "Warn on slow fulfillment (>14 days)" to flag products with unusually long fulfillment times. Toggle "Auto-scan on page load" to automatically analyze pages when you visit them. Click "Scan for fulfillment time" to run the script manually, or "Clear badges" to remove all overlays.

THE TECHNICAL MECHANISM

This script uses a pattern-matching system to detect fulfillment time estimates from unstructured text. It scans the page for shipping and production information using common selectors like .shipping-info, .delivery-info, .fulfillment-info, and .production-time. It then applies a cascade of regex patterns to extract time estimates—looking for patterns like "2-4 days", "ships in 3 days", "delivery in 5-7 business days", and "please allow 5-7 days". It also detects date-based estimates like "by Dec 15". If a range is found (min-max days), it uses the average for categorization. The script categorizes the fulfillment speed into five categories: Fast (≤3 days), Standard (4-5 days), Moderate (6-8 days), Slow (9-14 days), and Very Slow (15+ days). Each category has a color and label. The estimated delivery date is calculated by adding the average days to the current date. The badge is injected into the page with a colored left border matching the speed category.

THE PANEL

The panel is draggable anywhere on the screen and remembers its position between sessions. It can be collapsed to a small floating bubble to minimize distraction, and expanded again with a single click. The panel's width can be adjusted, and pressing the Escape key closes it instantly. All settings—display mode, show date, highlight fast, warn slow, and auto-scan—are persisted locally using GM_setValue, so your preferences remain intact across page reloads and browser restarts.

PLEASE NOTE

This userscript requires the free BotGentz extension to function. The script is designed for print-on-demand sites; it may work on other e-commerce pages but is not guaranteed. The fulfillment time detection relies on the current text patterns on these sites—if a site updates its UI or wording, the script may need to be updated. The estimated delivery date is a rough estimate based on the fulfillment time found—actual delivery times may vary. Always check the site's official shipping policy for accurate information. The script does not access your account or API; it only reads what is visible on the page. No data from your browsing is stored or transmitted anywhere—all processing occurs entirely in your browser.