GOBBLER 2D Wired Barcode Scanner

Product Code: B08GSP3HM2  •  Availability: In Stock
Rs.1,410.00 Amazon: 4.00/5 (22) Strong • 80/100
Core Product The GOBBLER 2D Wired Barcode Scanner is essential for inventory management and retail operations, making it a fundamental tool in these sectors. Confidence: 0.85
Wired Barcode Scanner
Best for efficient inventory management and retail operations
For: Retailers and warehouse managers | Category: Barcode Scanners | Confidence: 85%
Overview

📊 Product Trend Insight

Past No historical sales data available for GOBBLER 2D.
Now Currently untracked in market demand.
Future Potential growth if marketed effectively in tech sector.
Verdict Hold for now.
Brand: GOBBLER | Confidence: 50% | Updated: 2025-11-01 16:08:57

Write a review

Note: HTML is not translated!
    Bad        Good
Product Checklist (AI)
Product Checklist (100 Points)
GOBBLER 2D Wired Barcode Scanner Handheld High-Speed USB Wired 2D Barcode Scanner/Reader Ideal for Supermarkets, Convenience Stores, Warehouses Updated: 2025-10-18 06:42:45
  • 8
    Design Build
    High
    Sturdy design, good materials, but slightly bulky.
  • 8.8
    Performance
    High
    Fast scanning speed, reliable performance in stores.
  • 7.5
    Features
    High
    Basic features, lacks advanced scanning options.
  • 8
    Ease
    High
    Simple setup, user-friendly interface.
  • 7
    Reliability
    High
    1-year warranty, limited service centers.
  • 8
    Value
    High
    Decent price for basic functionality.
Final Score & Verdict
Score 80 / 100 Strong
Good choice for small to medium retail operations.

Price History

Last 1 changes

Reviews Summary

👍 Positives

⭐ Reviews Summary

✅ What Users Love

  • High-speed scanning capability improves efficiency.
  • Easy to set up with USB connection.
  • Durable design suitable for heavy usage in retail environments.

⚠️ Critical

⚠️ What to Watch

  • Wired connection limits mobility.
  • May struggle with poorly printed barcodes.
  • Lack of advanced features compared to wireless models.