CRM & ERP Integration Showcase
Custom ETL pipelines, API integrations, and data engineering — see exactly how we connect your systems
Bulletproof Reliability
Every system we build anticipates failures before they happen. Your data stays safe, your integrations stay connected, and your business keeps running.
Zero Downtime
Graceful error recovery means problems get logged and fixed automatically. No 3 AM phone calls, no lost transactions, no angry customers.
Scales With You
Built to handle millions of records from day one. As your business grows, your systems grow with you - no expensive rewrites needed.
Systems We Work With Every Day
We've built integrations with these platforms dozens of times. We know where the gotchas are, what the APIs don't tell you, and how to make them work reliably.
CRM Platforms
Sync your customer data, automate workflows, and keep your sales team in the loop.
ERP Systems
Deep integration with distribution and manufacturing ERPs. We speak your system's language.
E-commerce & Retail
Unify your sales channels, sync inventory, and automate order fulfillment.
Don't see your system? If it has an API, we can connect it.
Corrected 27 August 2026. This line said “We’ve integrated with 50+ platforms.” Nobody counted them. The figure is removed rather than replaced with a smaller one, because the honest number is not known either — the systems named above are the ones this site is willing to stand behind.
Want to see how we actually build these integrations? Below are real code examples - the same patterns we use in production. Share this with your technical team if you'd like them to review our approach.
Salesforce CRM Sync
3 error patterns handled
Shopify Order Processing
3 error patterns handled
Data Warehouse Load
3 error patterns handled
async function extractData(source) {
try {
const connection = await db.connect({
host: source.host,
timeout: 30000,
retries: 3
});
const data = await connection.query(
'SELECT * FROM orders WHERE updated_at > ?',
[lastSync]
);
return { success: true, data, count: data.length };
} catch (error) {
if (error.code === 'ETIMEDOUT') {
await notifySlack('DB timeout - switching to backup');
return await extractFromBackup(source);
}
logError('extraction', error);
throw new RetryableError(error);
}
}
Error Handling Strategies
Complex Analytics Query
Revenue analysis with error-safe aggregations
WITH daily_revenue AS (
SELECT
DATE(order_date) as day,
SUM(COALESCE(amount, 0)) as revenue,
COUNT(DISTINCT customer_id) as customers,
-- Handle NULL values safely
COUNT(CASE WHEN status = 'failed' THEN 1 END) as errors
FROM orders
WHERE order_date >= CURRENT_DATE - INTERVAL '90 days'
AND amount IS NOT NULL -- Filter invalid data
GROUP BY DATE(order_date)
)
SELECT
day,
revenue,
customers,
-- Prevent division by zero
CASE
WHEN customers > 0
THEN revenue / customers
ELSE 0
END as avg_per_customer,
-- Safe percentage calculation
ROUND(
100.0 * errors / NULLIF(customers + errors, 0),
2
) as error_rate_pct
FROM daily_revenue
ORDER BY day DESC;
Data Quality Check
Validation query with anomaly detection
SELECT 'Null Customer IDs' as issue, COUNT(*) as count, CURRENT_TIMESTAMP as checked_at FROM orders WHERE customer_id IS NULL UNION ALL SELECT 'Negative Amounts' as issue, COUNT(*) as count, CURRENT_TIMESTAMP FROM orders WHERE amount < 0 UNION ALL SELECT 'Future Order Dates' as issue, COUNT(*) as count, CURRENT_TIMESTAMP FROM orders WHERE order_date > CURRENT_TIMESTAMP -- Alert if any issues found HAVING SUM(count) > 0;
Incremental Sync Query
Safe delta extraction with watermarking
-- Get last successful sync timestamp
WITH last_sync AS (
SELECT COALESCE(
MAX(sync_timestamp),
TIMESTAMP '2024-01-01' -- Safe default
) as watermark
FROM etl_metadata
WHERE pipeline = 'orders'
AND status = 'success'
)
SELECT
o.order_id,
o.customer_id,
o.amount,
o.updated_at,
-- Include metadata for tracking
CURRENT_TIMESTAMP as extracted_at
FROM orders o
CROSS JOIN last_sync ls
WHERE o.updated_at > ls.watermark
AND o.updated_at <= CURRENT_TIMESTAMP -- Prevent clock skew issues
ORDER BY o.updated_at
LIMIT 100000; -- Prevent memory overflow
Stripe Payments
3 error patterns handled
Shopify Webhooks
3 error patterns handled
Inventory Aggregation
3 error patterns handled
class APIClient {
constructor(baseURL, options = {}) {
this.baseURL = baseURL;
this.timeout = options.timeout || 30000;
this.retries = options.retries || 3;
this.backoffMs = options.backoffMs || 1000;
}
async request(endpoint, options = {}) {
let lastError;
for (let attempt = 1; attempt <= this.retries; attempt++) {
try {
const controller = new AbortController();
const timeoutId = setTimeout(
() => controller.abort(),
this.timeout
);
const response = await fetch(`${this.baseURL}${endpoint}`, {
...options,
signal: controller.signal,
headers: {
'Content-Type': 'application/json',
...options.headers
}
});
clearTimeout(timeoutId);
if (!response.ok) {
throw new APIError(response.status, await response.text());
}
return await response.json();
} catch (error) {
lastError = error;
if (error.name === 'AbortError') {
console.warn(`Request timeout, attempt ${attempt}/${this.retries}`);
}
if (attempt < this.retries && this.isRetryable(error)) {
await this.sleep(this.backoffMs * Math.pow(2, attempt - 1));
continue;
}
throw error;
}
}
}
isRetryable(error) {
if (error.name === 'AbortError') return true;
if (error instanceof APIError) {
return [408, 429, 500, 502, 503, 504].includes(error.status);
}
return error.code === 'ECONNRESET' || error.code === 'ETIMEDOUT';
}
sleep(ms) {
return new Promise(resolve => setTimeout(resolve, ms));
}
}
Error Handling Strategies
E-commerce Checkout
3 error patterns handled
Multi-Tenant SaaS
3 error patterns handled
Real-time Order Tracking
3 error patterns handled
const express = require('express');
const helmet = require('helmet');
const cors = require('cors');
function createServer(config = {}) {
const app = express();
// Security middleware
app.use(helmet());
app.use(cors(config.corsOptions));
app.use(express.json({ limit: '10mb' }));
// Request ID for tracing
app.use((req, res, next) => {
req.id = req.headers['x-request-id'] || crypto.randomUUID();
res.setHeader('x-request-id', req.id);
next();
});
// Request logging
app.use((req, res, next) => {
const start = Date.now();
res.on('finish', () => {
logger.info({
requestId: req.id,
method: req.method,
path: req.path,
status: res.statusCode,
duration: Date.now() - start
});
});
next();
});
// Global error handler
app.use((err, req, res, next) => {
const status = err.status || 500;
const isOperational = err.isOperational || false;
logger.error({
requestId: req.id,
error: err.message,
stack: isOperational ? undefined : err.stack,
status
});
res.status(status).json({
error: isOperational ? err.message : 'Internal server error',
requestId: req.id
});
});
// Graceful shutdown
const server = app.listen(config.port || 3000);
process.on('SIGTERM', async () => {
logger.info('SIGTERM received, shutting down gracefully');
server.close(() => {
logger.info('Server closed');
process.exit(0);
});
});
return { app, server };
}
Error Handling Strategies
Production Monitoring That Actually Helps
Every integration we build includes real-time monitoring. You see what's happening, we get alerted before problems become emergencies.
Every number and event below is made up to show the layout. Nothing here is measured, nothing is connected to a running system, and no client's figures appear on this page. It is here to show what you get to look at, not what anyone achieved.
Corrected 21 August 2026. Until today this panel carried a pulsing “Live” indicator and week-on-week deltas — “+0.02% vs last week” and the rest — with nothing anywhere saying the figures were invented. It read as telemetry from a running system. The indicator and the deltas are gone and the panel is now marked for what it is. Stating this rather than quietly editing it is the same rule that keeps unmeasured percentages off the rest of this site.
// Smart retry logic with exponential backoff and circuit breaker
class ResilientApiClient {
constructor(config) {
this.baseUrl = config.baseUrl;
this.maxRetries = config.maxRetries || 3;
this.baseDelay = config.baseDelay || 1000;
this.maxDelay = config.maxDelay || 30000;
this.timeout = config.timeout || 10000;
// Circuit breaker state
this.failures = 0;
this.circuitOpen = false;
this.circuitResetTime = null;
this.failureThreshold = config.failureThreshold || 5;
this.circuitResetTimeout = config.circuitResetTimeout || 60000;
}
async request(endpoint, options = {}) {
// Check circuit breaker
if (this.circuitOpen) {
if (Date.now() < this.circuitResetTime) {
throw new CircuitOpenError('Circuit breaker is open - API temporarily unavailable');
}
// Try to reset circuit
this.circuitOpen = false;
}
let lastError;
for (let attempt = 0; attempt <= this.maxRetries; attempt++) {
try {
const response = await this.executeWithTimeout(endpoint, options);
// Success - reset failure count
this.failures = 0;
return response;
} catch (error) {
lastError = error;
// Don't retry on client errors (4xx) except 429 (rate limit)
if (error.status >= 400 && error.status < 500 && error.status !== 429) {
throw error;
}
// Record failure for circuit breaker
this.failures++;
if (this.failures >= this.failureThreshold) {
this.openCircuit();
}
// Calculate delay with exponential backoff + jitter
if (attempt < this.maxRetries) {
const delay = this.calculateDelay(attempt, error);
await this.logRetry({
endpoint,
attempt: attempt + 1,
maxRetries: this.maxRetries,
delay,
error: error.message,
status: error.status
});
await this.sleep(delay);
}
}
}
// All retries exhausted
await this.alertOps({
type: 'api_failure',
endpoint,
error: lastError.message,
attempts: this.maxRetries + 1,
circuitStatus: this.circuitOpen ? 'OPEN' : 'CLOSED'
});
throw lastError;
}
async executeWithTimeout(endpoint, options) {
const controller = new AbortController();
const timeoutId = setTimeout(() => controller.abort(), this.timeout);
try {
const response = await fetch(`${this.baseUrl}${endpoint}`, {
...options,
signal: controller.signal,
headers: {
'Content-Type': 'application/json',
...options.headers
}
});
if (!response.ok) {
const error = new Error(`API error: ${response.status}`);
error.status = response.status;
error.retryAfter = response.headers.get('Retry-After');
throw error;
}
return await response.json();
} finally {
clearTimeout(timeoutId);
}
}
calculateDelay(attempt, error) {
// Use Retry-After header if provided (rate limiting)
if (error.retryAfter) {
return parseInt(error.retryAfter) * 1000;
}
// Exponential backoff: 1s, 2s, 4s, 8s... with jitter
const exponentialDelay = this.baseDelay * Math.pow(2, attempt);
const jitter = Math.random() * 1000; // 0-1s random jitter
return Math.min(exponentialDelay + jitter, this.maxDelay);
}
openCircuit() {
this.circuitOpen = true;
this.circuitResetTime = Date.now() + this.circuitResetTimeout;
this.alertOps({
type: 'circuit_breaker_open',
message: 'Too many failures - circuit breaker activated',
resetTime: new Date(this.circuitResetTime).toISOString()
});
}
async logRetry(details) {
// Log to your monitoring system
console.log(`[RETRY] ${JSON.stringify(details)}`);
await metrics.increment('api.retry', { endpoint: details.endpoint });
}
async alertOps(alert) {
// Send to Slack, PagerDuty, etc - but batched, not spammy
await alertService.send({
...alert,
timestamp: new Date().toISOString(),
service: this.baseUrl
});
}
sleep(ms) {
return new Promise(resolve => setTimeout(resolve, ms));
}
}
// Usage example
const salesforce = new ResilientApiClient({
baseUrl: 'https://yourinstance.salesforce.com/services/data/v57.0',
maxRetries: 3,
timeout: 15000, // 15s timeout
failureThreshold: 5, // Open circuit after 5 consecutive failures
circuitResetTimeout: 60000 // Try again after 1 minute
});
Scenarios This Handles
Like What You See?
This is how we build every system. Your project gets the same attention to detail, the same bulletproof error handling, the same production-ready code.
The two service pages behind this showcase describe what an engagement looks like rather than what the code looks like: ERP integration for making two systems agree, and ETL & data pipelines for moving the data between them on a schedule you can audit.
Feel free to share this page with your technical team for review