COD: Advanced Cash on Delivery vs CODFlow: COD Form & Courier
Two Shopify apps, side by side: detected stores, momentum, reviews, plans, listed features and who runs each. Store counts as of Nov 8, 2026 for COD, Sep 3, 2026 for CODFlow.
The short answer
- COD lists 19 features CODFlow’s listing doesn’t mention, including Auto-cancel, Automated workflows, Bot detection.
Head to head
Cash on Delivery | COD Order Verification by OTP to Reduce RTO
Momentum
New reviews each month
Review pace is the clearest public read on how fast an app is winning new merchants.
Free Forever
- · Auto-cancel unverified orders
- · COD verification via SMS & WhatsApp
- · COD verification via automated IVR
Premium
- · Add a custom fee for COD orders
- · All features in the FREE plan
Coverage counts what each App Store listing names. Every feature, checked off app by app, is in Shoplist.
See every featureCash on delivery (COD) is a great enabler for the e-commerce industry. But, it also is one of the leading sources of operational loss due to cancellations and bogus orders. Hence, reducing COD failures is a top priority for e-commerce players. Using CODBot, you can ensure that your COD order verification happens before you ship them out. It also helps with fraud filters and fraud analysis.
CODFlow adds a branded cash on delivery (COD) order form to product pages. Before an order is created, it checks the phone number against courier delivery and cancellation history from Steadfast, Pathao, Paperfly, and Carrybee, then tags it low, medium, or high risk to catch fake orders early. Set delivery charges by area or weight. Add quantity discounts, bundles, and gift-with-purchase offers on COD orders.
- Verify a Cash on Delivery (COD) order, by sending an OTP through SMS or WhatsApp
- Cut down RTO (Return to Origin) drastically by eliminating fake/bogus COD orders
- IVR COD verification if the OTP delivery fails via SMS or WhatsApp
- NEW: Charge a fee for COD orders
- Google Sheets order export and Meta and TikTok pixel tracking
- Branded cash on delivery form builder with custom fields and styling
- Courier fraud checks using real delivery and cancellation history
- Delivery fee rules by area or weight, set by the merchant








All the numbers
Every figure, side by side
A green dot marks the app ahead on a measured figure. Estimates, gaps and apps that leave no storefront trace never take the lead.
Adoption
| Measure | COD | CODFlow |
|---|---|---|
| Detected stores | 3 | Not published |
| Net store change, 28 days | 0 | 0 |
| Stores added, 28 days | Not enough data | Not enough data |
| Big-brand share | Not enough data | Not enough data |
| Top store categories | Apparel & Accessories, Health & Beauty | Not published |
| Top store countries | India, Saudi Arabia | Not published |
Reviews
| Measure | COD | CODFlow |
|---|---|---|
| App Store rating | 4.7 ★ | Not published |
| App Store reviews | 12 | Not published |
| New reviews, 28 days | 0 | Not enough data |
| Reviewers a year or more in | Not enough data | Not enough data |
FAQ
COD and CODFlow: common questions
- What features does each app list that the other doesn’t?
- COD lists 19 the others don’t mention, such as Auto-cancel, Automated workflows, Bot detection, Bots. CODFlow lists 4 the others don’t mention, such as Blocklists, Personalized messages, Widget design, Widget placement. A feature missing from a listing may still be supported; this compares what each App Store listing says.
- Where does this comparison’s data come from?
- Shoplist crawls Shopify storefronts to detect which apps each store runs, and reads each app’s Shopify App Store listing for reviews, pricing, features and integrations. Store counts are as of Nov 8, 2026 for COD, Sep 3, 2026 for CODFlow; estimated figures are labeled.
How Shoplist compares apps
Store counts come from Shoplist’s crawl of Shopify storefronts, which detects the apps each store runs; they are as of Nov 8, 2026 for COD, Sep 3, 2026 for CODFlow. Reviews, ratings, plans, features and integrations come from each app’s Shopify App Store listing. 28-day figures are labeled when estimated, and a figure that is missing or estimated never decides who leads. Read the methodology.







