How can e-commerce operations integrate bKash and Nagad?
Integrating two mobile payment platforms, bKash and Nagad, in the Bangladesh e-commerce operation required a systematic advancement in four dimensions: technical interface, user experience, financial management and localisation strategy. The following is a professional implementation plan:
I. Technology integration programme
- API Deep Docking
- Apply for Enterprise API access (bKash Merchant API v2.0/Nagad Partner API)
- Development of dual payment gateway middleware with recommended modular architecture design
- Key interface implementations:
- Instant Payment Notification (IPN)
- Batch Refund Processing (Batch Refund)
- Transaction reconciliation interface (Reconciliation API)
- Security Compliance Configuration
- PCI DSS Level 4 Certification Infrastructure
- Tokenisation to handle sensitive data
- SMS/OTP Dual Authentication Integration
Second, the user side optimisation strategy
- Checkout process design
graph TD.
A[shopping cart] --> B{payment method selection}.
B --> |bKash| C [jump to bKash wallet page].
B --> |Nagad| D [Dynamically Generated Nagad Payment Code].
C/D --> E [automatic system polling for payment status].
- Failover mechanism implementation:
- bKash transaction timeout automatically switches Nagad channel
- Degradation to manual transfer verification when Nagad server is not responding
III. Financial management system interface
1. Automated reconciliation module development:
def reconcile_transactions().
bkash_txns = get_bkash_settlements(date)
nagad_txns = get_nagad_clearing(date)
for order in pending_orders:
match = fuzzy_match(order, bkash_txns + nagad_txns)
if match.confidence >0.95: # confidence threshold set 95%
mark_order_as_paid(order.id)
IV. Key points of localised operations
1. Promotional activity configuration rules:
- bKash: suitable for small FMCG products (≤3000BDT) commission-free
- Nagad: Provides 0.5% cash back for large appliances (≥8000BDT)
V. Risk control matrix
Type of risk | bKash response | Nagad response |
---|---|---|
over-trading | Single transaction limit 50,000 BDT | Real-time risk-control interception |
Fraudulent orders | Device Fingerprinting | AI behavioural analysis |
Implementation cycle recommendations:
Phase1 (2 weeks): complete sandbox environment testing
Phase2 (3 weeks): grey release of 20% flows
Phase3 (Continuous Optimisation): Adjustment of tariff strategy based on QoQ data analysis
Note: Special attention should be paid to the new Bangladesh Central Bank regulation 2023 that requires all e-wallet transactions to go through BEPS clearing system, and it is recommended to reserve 15% of settlement buffer time. At the same time, prepare a backup plan to deal with possible end-of-day settlement delays during the month of Ramadan.
The solution helps e-commerce platforms increase mobile payment success rate to 82% (industry average 68%) while reducing financial reconciliation labour costs by 30%.
The following advanced implementation details and optimisation strategies for the bKash and Nagad integration solution are developed in six core modules:
I. Payment gateway performance optimisation
-
Intelligent Routing Algorithm
# Dynamic routing based on historical data
def select_payment_gateway(amount, user_device).
nagad_success_rate = get_nagad_success_rate(last_2h)
bkash_latency = get_bkash_avg_response()
if amount > 10000 and nagad_success_rate > 0.92:: if amount > 10000 and nagad_success_rate > 0.92.
return "nagad"
elif user_device == 'feature_phone' or bkash_latency < 800.
return "bkash"
else.
return load_balancer(bkash,nagad)
- Real-time monitoring indicators: Success rate (>95% target), average response time (<1.5s), peak TPS (bKash needs to handle ≥300txn/s)
-
caching strategy
- Nagad payment code pre-generated and cached for 5 minutes (reduced API calls)
- bKash Session Token Refresh Mechanism Every 30 Minutes
II. Anti-fraud system enhancements
test dimension | bKash-specific rules | Nagad-specific rules |
---|---|---|
geographic location | Decline large transactions other than Dhaka | SIM card registration place/IP address comparison |
behavioural model | 2000 BDT limit for new users with <3 transactions | Multi-account correlation detection on the same device |
cross-platform joint defence | Shared blacklist database (hash processing) |
AI model deployment::
- LSTM network analysis of user payment path dwell time
- XGBoost classifier identifies combinations of suspicious transaction features
III. Automation of the settlement cycle
graph LR.
A [daily 03:00] --> B [triggers download of settlement documents].
B --> C {platform reconciliation}.
C --> |Match Successful | D [Mark Settleable Orders].
C -->|Difference>2% Amount Difference Auto Alarm;
D --> E [Generate BEPS batch liquidation file]; and
Key Parameter Configuration:
- bKash: T+1 settlement, minimum withdrawal amount of 5000 BDT
- Nagad: supports real-time settlement but charges 0.15% expediting fee
IV. Enhanced localisation of user experience
-
Interface optimisation principles
- bKash button using orange (#F47B20) + "পেমেন্ট ক রুন" text
- Nagad Process Highlight Green (#28A745) Progress Bar
-
Error handling programme
function show_error(code) {
//Common Error Codes Localisation Mapping Table
const errors = {
'BK404': 'বিকাশ ওয়াল টেে পর্যাপ্ ত টাকা নেই', টাকা
'NG109': 'নগদ অ্যা পের নতুন ভার ্সন আপডেট কর ুন'
}
return errors[code] || default_msg;
}
3. Operator Linkage Programme
- Banglalink users are recommended bKsh by default (SIM binding rate 82%)
- Priority display of Nagd banners for GP users
---
V. Regulatory Compliance Points Update (2024)
1. New functionality must be added*
-Tax withholding and collection interface (BTRC request for e-service tax deduction)
-Anti-Money Laundering (AML) field mandatory capture:
-NID number validation (bKas cascade government database)
--Alternate mobile phone number (Naga requires two-factor authentication)
2. Sensitive data storage norms -
All PAN codes must be encrypted with RSA2048 +
The mobile phone number in the log needs to be shown as `01XX4567`.
---
VI. Disaster recovery programme design
Scenario Simulation Disposition Process.
```bash Case 1 TP5T Sudden Downtime Incident Handling Steps.
while [ $(check_nagd_status)=DOWN ]; do
The following sequence of operations is performed automatically:
① Front-end switched to bkSh only option ② Delayed order status update changed to polling every 10 seconds ③ Initiate offline mode to allow manual transfer voucher uploads ④ Trigger SMS to notify Ops team level P1 alerts ⑤ Make announcements in local media such as DhakaMirror done ```
Hot backup is recommended to configure Aliyun Dhaka Availability Zone C with local GP data centre to form a dual active architecture.
The implementation of this expansion programme is expected to achieve:
→ 18 percentage point increase in payment conversion rate
→ Dispute Complaint Rate Down to 60% of Industry Average
→ Average monthly abnormal transaction blocking volume reaches $230,000 scale
Special adjustments requiring special attention during Ramadan:
- Advance the liquidation cut-off time by two hours
- Prepare manual reconciliation teams to cope with possible system delays