Run your storefront, inventory systems, and data analytics on cloud infrastructure built for retail scale — from point-of-sale to warehouse management.
Sync stock levels across warehouses and sales channels in real time. Managed databases and message queues keep your inventory data consistent at scale.
Build data pipelines that pull from POS systems, CRM, and ad platforms into a central warehouse. Track revenue, cohort retention, and LTV with BI dashboards.
Serve product images and static assets fast from edge locations. Block bot traffic and DDoS attacks that could take your store offline during peak hours.
Run checkout, inventory, recommendation, and notification services as separate containers with managed Kubernetes. Scale each service independently based on demand.
PostgreSQL for transactions and orders, ClickHouse for analytics queries, MongoDB for session data — all managed with automatic backups and replication.
Damensch needed cloud infrastructure that could handle their growing D2C operations and data-driven decisions. We set up their entire cloud stack — from hosting their storefront and app backend to building data engineering pipelines that consolidate sales, marketing, and inventory data into a single warehouse.
DSLR
Camera retail brand
DSLR migrated their entire platform to Delphi Cloud containers, cutting deployment time by 70%. Containerized microservices on managed Kubernetes let them ship new features faster while keeping their product catalog and order processing stable.
Limese
Skincare D2C brand
Limese serves personalized skincare recommendations to over 500,000 users. We built them a complete cloud setup — website hosting, mobile app backend on managed Kubernetes, managed databases for customer and order data, and data analysis pipelines powering their recommendation engine.
Aramya
Multi-channel retail
Aramya needed real-time inventory sync across 50+ warehouses with zero downtime. We built them cloud infrastructure with managed databases, message queues, and data pipelines that keep stock levels accurate across every channel — online, offline, and marketplace.
How retail brands use Delphi Cloud
E-commerce storefronts
Host your online store on scalable VMs with managed databases for product catalogs and orders. Handle traffic spikes during launches and seasonal sales without downtime.
Compute Cloud
Managed PostgreSQL
Load Balancer
Inventory and supply chain
Sync stock levels across warehouses, POS systems, and marketplaces in real time. Message queues and managed databases keep everything consistent as orders flow in.
Managed Kafka
Managed PostgreSQL
Object Storage
Customer analytics and BI
Pull data from Shopify, payment processors, ad platforms, and CRM into a central data warehouse. Build dashboards for marketing ROI, inventory planning, and revenue forecasting.
Managed ClickHouse
DataLens
Data Transfer
Questions and answers
Yes. Compute Cloud lets you add VMs when traffic picks up and remove them when it drops. Combined with a load balancer, your storefront stays responsive during flash sales. You only pay for the extra capacity while you actually need it.
Yes. Most of our retail clients use their existing platforms for the storefront and rely on Delphi Cloud for the data and analytics side — warehousing sales data, building BI dashboards, running ad-hoc analysis, and hosting backend services for their mobile apps.
We set up real-time data pipelines using managed message queues and databases. When an order is placed on any channel, the stock count updates across all connected warehouses instantly. The system handles conflicts and reconciliation automatically.
We work with brands on custom plans based on their expected traffic, data volumes, and growth trajectory. Cloud credits are available for new accounts to help you get started.