Industry · Ecommerce
Custom storefronts, marketplaces, and checkout that hold up at scale.
We build the software commerce runs on — storefronts, marketplaces, recommendation and pricing engines, and checkout — fast under a flash-sale spike, reconciled to the cent.
By the team that built YardClub's $120M+ marketplace.
The buying path, built to convert under load
The problem
Why ecommerce software breaks exactly when it matters most.
The buying path is a chain, and revenue leaks at every weak link — a slow storefront sheds buyers before they see a product, and one too many checkout steps hands back the cart. The day all of this is under maximum load is the day the system can least afford to wobble.
The hard part was never drawing the screens. It's the engineering underneath — a catalog that stays consistent as stock moves, a checkout that survives a retried payment without double-charging — that decides whether the store converts or just exists.
average cart-abandonment rate across 50 studies — most of it lost at the checkout itself.
conversion gain a large site can capture from better checkout design alone.
What we build
Where ecommerce software earns its keep — and what each use case delivers.
Systems along the buying path, each moving a specific number. For each: what it does and the benefit it produces.
Custom storefronts & multi-vendor marketplaces
The buying surface — catalog, search, cart, account — or a full marketplace where sellers list, transact, and get paid out.
Benefit — a commerce surface shaped to how you sell, not a template you fight.
Recommendation & personalization engines
Surfaces the right product to the right shopper from real behavior, not one grid for everyone.
Benefit — higher AOV and conversion from traffic you already have; McKinsey finds personalization typically lifts revenue 5–15%.
Dynamic pricing & merchandising
Adjusts price, promotion, and placement against demand and margin rules, automatically within your guardrails.
Benefit — protected margin and faster response, without manual repricing.
Checkout & payment flows
A fast, resilient checkout — fewer steps, clear totals, idempotent handling so a retry never double-charges. Payments serve the sale.
Benefit — fewer abandoned carts, more completed orders; Baymard finds a large site can gain ~35.26% in conversion.
Inventory, order & supply-chain integration
Wires the store to your ERP, OMS, WMS, and fulfillment so stock, orders, and shipments stay consistent across channels in near real time.
Benefit — fewer oversells and one accurate view of stock.
Conversational & post-purchase commerce
A shopping and post-purchase assistant answering product questions and handling returns, reorders, and order status from live data.
Benefit — more guided conversions and lower support load.
The measured impact
What this software does to commerce metrics.
Independent, third-party findings — not Silicon Prime's own client results.
Revenue lift from personalization
that personalization typically delivers; faster-growing companies generate 40% more of their revenue from it.
Average cart-abandonment rate
across 50 studies — a large site can gain about 35.26% in conversion through better checkout design.
Lower customer-acquisition cost
from mature personalization, with a 10–30% lift in marketing ROI — the compounding return on getting relevance right.
A two-sided marketplace that moved $120M+ — proven in production.
We built YardClub — a contractor-to-contractor marketplace — end to end: the storefront, the multi-vendor transaction surface, and the payment and reconciliation infrastructure behind it. It processed $120M+ before its acquisition by Caterpillar in 2017. First-party, in-domain commerce proof — not a portfolio retold with ecommerce words.
The scope
What ecommerce software development covers.
The commerce application and intelligence layer running on top of your platform, processors, and back-office systems. We build custom and integrate with what you run.
Custom storefront & marketplace builds
Catalog, search, cart, account, and back-office built to your selling model — including full multi-vendor marketplaces with seller onboarding, listings, and payouts.
Headless & platform integration
Decoupled storefronts and integration with the platform you already run through clean, versioned APIs — so the front end moves fast without re-platforming.
Recommendation, search & personalization
The machine-learning models behind recommendations, merchandising, and search — trained and validated on your own behavioral and catalog data, not a generic widget.
Dynamic pricing & promotions
Rule- and model-driven pricing, bundling, and promotion logic responding to demand and margin within your guardrails — built to protect margin, not just chase volume.
Checkout, payments & order management
A fast, resilient checkout with idempotent payment handling, plus the order-management and reconciliation logic behind it. For payments-as-the-product see our fintech work.
Inventory, fulfillment & supply-chain integration
Near-real-time sync between the store and your ERP, OMS, WMS, and fulfillment partners, keeping stock, orders, and shipments consistent so overselling stops.
Plus peak-event readiness — and what you get, assigned to you under full IP transfer
How it runs
One accountable lead, fixed scope, no handoffs.
The same delivery model behind all our work, tuned for commerce. Most engagements reach production in 4–8 weeks, full IP assignment signed at kickoff.
Discover
Scope the use case and the metric it targets — conversion, AOV, cart abandonment, oversell rate — and the platform constraints it lives within.
Output: a ranked plan & the metric we'll be judged on
Integrate
Connect to your platform, processors, and ERP/OMS/WMS through governed, scoped integrations, with order and inventory reconciliation built in from the start.
Output: a trusted, consistent commerce data foundation
Build
Develop the storefront, marketplace, or engine in your own cloud, training models against your historical data — with idempotent checkout and a load profile in mind from the first commit.
Output: a working system tested on your real data & traffic
Deploy & enable
Ship behind a staged rollout, load-test against your real peak shape, prove the metric moves, and train your team to operate, retrain, and extend it.
Output: a production system & a team that owns it
The track record
A marketplace we built end to end — that moved $120M+.
We built YardClub — a contractor-to-contractor marketplace for heavy equipment — end to end: the storefront, the multi-vendor transaction surface, and the payment and reconciliation infrastructure behind it. It processed more than $120 million before being acquired by Caterpillar in 2017.
Marketplaces add real complexity over a single store — seller onboarding, listing management, split payments and payouts, trust-and-safety — and that complexity is exactly the engineering we've shipped end to end, to acquisition.
The same reliability bar holds everywhere we ship. Over four years we moved BJ's Restaurants, a 200+ location operation, from biweekly to twice-a-week releases with zero critical defects — the standard the highest-revenue day of the year demands.
Silicon Prime is a Stanford-rooted Responsible AI lab, founded in 2011, run by founder Kelvin Tran — 20+ years of production engineering, personally accountable for every engagement.
YardClub
A multi-vendor marketplace built end to end — storefront, listings, split payments, payouts, reconciliation. $120M+ processed; acquired by Caterpillar in 2017. First-party, in-domain commerce engineering.
BJ's Restaurants
A 200+ location operation moved to twice-a-week releases with zero critical defects across four years — the production-reliability bar the highest-revenue day of the year demands.
Why build it with us.
We've shipped a marketplace to acquisition. The infrastructure behind YardClub's $120M+ in volume and its Caterpillar acquisition is first-party, in-domain commerce proof.
Built for the day it's under load. We engineer for peak and load-test against your real traffic before the event — because the highest-revenue day is the day the system can least afford to wobble.
Models grounded in your data. Recommendation and pricing models are trained and validated on your own data before they go live — so they lift real orders, not vanity metrics.
Founder-led, built to transfer. One accountable lead; the storefront, models, and integrations are assigned to you and your team trained to run them.
Where this connects
A commerce build rarely stands alone.
It rests on the same engineering we bring to neighboring work.
Fintech & payments
Where payments are the product — rails, fraud, decisioning. Here, payments serve the sale; that page fits if you're building the infrastructure.
Fintech software →Conversational AI
Shopping and post-purchase assistants grounded in your catalog and order data — guiding conversions and handling returns from live data.
Conversational AI →Performance optimization
The architecture and load-testing that keep the store fast through a flash-sale or seasonal spike — the highest-revenue day as the design target.
Performance optimization →Questions buyers ask before they build.
Do you actually have ecommerce experience, or just adjacent work?+
Do you build custom, or do you just set up Shopify / Magento / a platform?+
Can you build a multi-vendor marketplace, not just a single-brand store?+
How do recommendation and personalization engines actually lift revenue?+
How do you handle peak traffic — flash sales, launches, Black Friday?+
After launch, do you maintain it — or is our team left on its own?+
How do you handle our data and security?+
Who owns the software when you're done, and what does it cost?+
Thirty minutes · No pitch deck
Ready to build commerce software that converts under load?
Bring the build — a custom storefront, a multi-vendor marketplace, a recommendation engine, a checkout rebuild — and we'll tell you honestly what it takes, what to integrate instead of rebuild, and what it costs to run.