Data Infrastructure Engineering for Retail & eCommerce
Inventory that's accurate at 2pm on a Tuesday can still oversell on Black Friday. We build the real-time sync, connection handling, and cost right-sizing that's tested against your actual peak, not your average day.
Where Retail Data Infrastructure Actually Breaks
A polling sync that runs every few minutes is exactly the gap that oversells during a spike, two orders can both read the same stock count before either write lands. It's invisible on a normal Tuesday and obvious the moment volume spikes.
Most load tests make the same kind of mistake: they simulate steady traffic at a target number, not the burst pattern of a flash sale, where connections spike in seconds and read replicas lag behind write volume they weren't sized for. A database can pass that test and still fall over in the first ninety seconds of the real thing.
Cost has the opposite problem. Warehouse and pipeline infrastructure gets provisioned flat, year-round, for the one week it's actually needed, and the other fifty-one weeks quietly pay for headroom nobody's using.
We scope real-time sync, peak-load reliability, and cost right-sizing to your actual traffic curve, not a generic scaling checklist.
Five Problems We See Repeatedly, and How We Handle Them
Real scenarios, not a checklist of generic capabilities.
Inventory sync runs every few minutes, so two orders can both read the same stock count before either write lands, and the tenth item sells when there are only nine.
We build CDC-based sync between commerce, warehouse, and storefront systems, so each change propagates as it happens, closing the window instead of shortening it.
Real-Time Data EngineeringA database that passed load testing at a steady requests-per-second number still falls over in the first ninety seconds of a flash sale.
We test connection pooling, read-replica scaling, and failover against the actual burst pattern of your peak traffic, not a sustained average.
Database EngineeringA payment gateway or shipping carrier integration that works fine on a normal day starts silently failing orders once volume spikes during a sale.
We build and monitor the integration itself, so a rate-limit or timeout under real order volume surfaces as an alert, not a lost sale.
Custom API Development & IntegrationsWarehouse and pipeline infrastructure is provisioned flat, year-round, for the one week of Black Friday traffic, and the other fifty-one weeks pay for capacity nobody's using.
We right-size cost to flex between peak and off-season, instead of a single flat provision.
Data Cost OptimizationPricing and markdown decisions still get made by gut feel or matching a competitor blindly, and demand forecasting runs on last season's numbers.
We build pricing optimization and demand forecasting models off your actual sales data, so pricing and inventory decisions work from a recommendation, not a guess.
Data AnalyticsTechnology We Work In
Shopify, WooCommerce, and BigCommerce as the platforms we work inside, Stripe for payments, and Redis for caching around inventory and checkout.
We work hands-on with: Shopify, WooCommerce, BigCommerce, Stripe, Redis.
What's Included, By Category
Real-Time Inventory & Order Infrastructure
- CDC-based inventory sync between commerce, warehouse, and storefront systems
- Order and checkout event streaming for real-time stock accuracy
- Database performance tuning for catalog and checkout query paths
- Connection pooling and read-replica scaling for burst traffic
Peak-Load Reliability Engineering
- Load and failover testing against your actual peak traffic shape, not average load
- Database replication and failover for flash sales, restocks, and promotions
- Query and index tuning for checkout and catalog paths under concurrent load
- Incident response and on-call coverage through major traffic events
Integration & Cost Engineering
- Payment gateway, shipping carrier, and marketplace API integrations
- Custom storefront and checkout development
- Warehouse and pipeline cost right-sizing across peak and off-season
- Cloud database and data platform cost optimization
Market Segments Served
We work with retailers and e-commerce platforms where peak-traffic reliability or inventory accuracy is the actual risk.
- Online retailers whose inventory oversells during flash sales or restocks
- E-commerce platforms whose database passed load testing but failed on real peak day
- Retailers provisioning warehouse and pipeline cost flat year-round for one peak week
- Checkout and catalog systems where slow queries are costing conversions
- Retailers integrating payment, shipping, or marketplace APIs that break under real order volume
- Multi-channel retailers syncing inventory across storefront, warehouse, and marketplace systems
Delivery Lifecycle
Discovery & Assessment
We audit your inventory sync latency, test database behavior against your actual peak traffic shape, and review platform spend against your seasonal curve.
Architecture & Design
We design the CDC sync, connection and scaling strategy, and cost right-sizing plan for your highest-risk peak events.
Build & Integration
We implement the sync pipeline, reliability changes, and integrations end to end, integrated with the commerce systems you already run.
Testing & Validation
We load test against burst traffic patterns modeled on your own peak history, not a synthetic steady-state number.
Launch & Ongoing Coverage
We stay on call through your next major traffic event, then hand off tested runbooks and a right-sized cost baseline.
Why Retail Teams Work With Us
Depth Across the Whole Stack, Not Just One Layer
A sync vendor fixes inventory. An integration shop fixes payments. We bring real-time sync, database reliability, integrations, and cost engineering as one team, so a peak-day problem doesn't fall into the gap between vendors.
A Team, Not One Person's Calendar
A single in-house hire means business hours and one person's availability, with everything waiting when they're out. We bring a team behind every engagement, so a flash sale doesn't wait on someone's vacation.
Tested Against Your Actual Peak, Not a Steady Number
We test connection churn and burst patterns modeled on your own traffic history, not a sustained requests-per-second target that looks fine in a report and falls over on the real day.
No Dependency by Design
Runbooks and documentation are part of the deliverable, so your team can run what we build without staying on retainer forever. If ongoing coverage through peak events is still the right call, we'll say why.
Related Services
Frequently Asked Questions
Find Out Where Your Peak-Day Risk Actually Is
We schedule a call to hear what's going on, then a second call to review your sync, database, and integrations and tell you directly which gaps carry real risk.