What We Offer
Custom e-commerce platforms built for scale — from headless storefronts to full-stack solutions with advanced product catalogs, checkout, and payments.
Unified commerce platforms that connect online, mobile, and in-store channels with consistent inventory, pricing, and customer data across all touchpoints.
Real-time inventory management with multi-warehouse support, automated reorder points, and order routing to optimize fulfillment costs and delivery speed.
Machine learning-powered product recommendations, dynamic pricing, and personalized marketing that increase average order value and customer lifetime value.
Intelligent product search with natural language processing, faceted filtering, visual search, and AI-powered merchandising to improve product discovery.
Unified analytics dashboards covering sales performance, customer behavior, inventory health, and marketing attribution across all channels.
Native and cross-platform mobile shopping apps with push notifications, loyalty programs, AR try-on features, and seamless checkout experiences.
Migrate from legacy platforms (Magento, WooCommerce) to modern headless or composable commerce architectures without disrupting live operations.
Why SolveJet
A checkout flow that works at 500 concurrent users fails at 50,000. A personalisation engine that runs on a 5-second page load kills conversions. We design for the operational ceiling, not the demo.
We load-test at 10x normal traffic before every launch. Auto-scaling infrastructure, CDN caching, database read replicas, and queue-based order processing mean your platform doesn't degrade when sales campaigns hit.
We build headless storefronts that decouple your frontend from your commerce engine — so you're not rearchitecting when you outgrow Shopify or need to add a new channel.
As a Google Cloud Partner, we deploy Vertex AI recommendation models and BigQuery analytics pipelines that personalise at the product and customer level without third-party SaaS fees eating into margins.
In retail, a production bug on a campaign day costs real revenue. Our clients get direct access to the engineers who built the system — not a support ticket queue with a 4-hour SLA.
What Good Commerce Technology Delivers
These are the benchmarks well-built retail platforms consistently move — and what we design toward on every engagement.
What We Build
These illustrate the platforms we design and engineer — the technical approach, the components, and the operational outcomes they're built to deliver.
A Next.js headless storefront decoupled from the commerce engine — sub-2s page loads, advanced product catalog with variants and bundles, Stripe checkout, and Algolia-powered search. Auto-scales on GCP for peak campaigns.
A unified commerce layer connecting online, mobile, and in-store channels with a single inventory truth — real-time stock sync, click-and-collect, ship-from-store, and consistent pricing across all touchpoints.
A cross-platform shopping app with loyalty program integration, push notifications, personalised recommendations via Vertex AI, and a native checkout flow — built offline-capable for markets with patchy connectivity.
A BigQuery-backed analytics platform consolidating POS, e-commerce, and marketing attribution data — sales by SKU, channel, and customer segment, basket analysis, and marketing ROI in a single Looker dashboard.
Our Process
We audit your current tech stack, map customer journeys, and define integration requirements with your product, marketing, and operations teams.
Our architects design the commerce blueprint — catalog structure, checkout flows, integration points, and scalability plan for peak traffic.
Two-week sprints delivering working software. Core storefront and checkout first, then personalization, analytics, and integrations.
Load testing at 10x normal traffic, checkout flow testing, payment gateway validation, and cross-device compatibility testing.
Phased launch with A/B testing framework in place. Full team training, runbooks, and 90-day hypercare support included.
Use Cases
From e-commerce platforms to AI personalization, see the specific problems we solve for retail businesses.
E-Commerce Platform
Build a high-performance storefront that handles millions of SKUs, complex product configurations, and peak traffic without performance degradation.
Technology Stack
We build on proven, enterprise-grade technology — and integrate with the systems you already run.
FAQ
Everything you need to know about modernizing your retail and commerce operations with SolveJet.
We build custom e-commerce platforms from scratch and work with Shopify, Shopify Plus, Salesforce Commerce Cloud, Magento/Adobe Commerce, and WooCommerce. We also build headless commerce solutions using modern frontends with any backend commerce engine.
We architect for peak traffic using auto-scaling cloud infrastructure, CDN caching, database read replicas, and queue-based order processing. We conduct load testing simulating 10x normal traffic before every major sales event.
Yes. We build unified commerce platforms that synchronize inventory, pricing, and customer data across online, mobile, and physical store channels. This includes POS integrations, click-and-collect, ship-from-store, and unified customer profiles.
AI improves retail through personalized product recommendations (increasing AOV by 15–30%), dynamic pricing optimization, demand forecasting for inventory planning, visual search, and AI-powered customer service chatbots that handle 60%+ of support queries.
A focused storefront with standard features typically takes 3–5 months. A full omnichannel platform with custom integrations, loyalty programs, and analytics ranges from 6–12 months. We use phased delivery so you can launch core features first.
"They don't force us to go their way; instead, they follow our way of thinking."
★★★★★Marek StrzelczykHead of New Products & IT, GS1 Polska
What happens next
