Always-on commerce, from storefront to server.
IT services for retail and retail ERP and POS integration — stores, warehouses, ecommerce and back-office systems all have to tell the same story to the customer. Archonova engineers the platforms, integrations and infrastructure that make that possible.
The landscape
Where retail teams get stuck.
Four recurring pressure points we design around when building for this sector.
Peak-Season Traffic Scaling
Sale events, festival drops and campaign launches compress a month of demand into hours. Elastic infrastructure, load-tested checkout paths and pre-warmed capacity decide whether the day converts or crashes.
Omnichannel Inventory Sync
Store, warehouse, marketplace and app rarely agree on real-time stock. Integrations between ERP, OMS, POS and storefront have to be engineered for consistency, not eventual guesswork.
Payment Security
Card data, wallets and stored credentials live under PCI-DSS and constant adversarial pressure. Tokenization, segmentation and hardened checkout flows are baseline, not optional.
Personalization at Scale
Recommendation, search and merchandising models only earn their keep when data pipelines are clean, event streams are reliable and experimentation is safe to run in production.
Solutions for retail
How the practice maps to your work.
Five capability layers — Advisory, Operate, Build, Infrastructure, Security — applied to the way retail actually runs.
Layer
Advisory
We set the omnichannel architecture strategy across store, e-commerce, marketplace and warehouse — then train merchandising, CX and IT so the operating model outlasts the next platform migration.
Layer
Operate
POS, e-commerce and marketplace licensing is consolidated, peak-season managed operations run with pre-warmed capacity and on-call escalation, and DevOps pipelines support the continuous release cadence commerce actually needs.
Layer
Build
We stitch OMS, ERP and CRM into a single view of stock, customer and order, build the personalization AI where clean event data supports it, and engineer custom checkout, loyalty and store-associate apps where off-the-shelf falls short.
Layer
Infrastructure
Cloud is sized and load-tested for sale-day traffic curves rather than daily average, CDN and edge sit in front of storefronts, and store-level POS keeps trading when connectivity blips.
Layer
Security
Checkout is engineered around PCI-DSS from the network up, bot and fraud defenses guard drops and campaigns, and stored credentials are tokenized so a breach anywhere else in the stack doesn't reach card data.
How we'd approach this
For a D2C brand approaching its first big sale.
For a D2C brand or mid-market retailer heading into its first true peak event, this typically starts with a load-test-driven audit of the checkout path — every dependency, every third-party call, every single-threaded bottleneck. From there we'd pre-warm cloud and CDN capacity to the modeled peak, harden the OMS-to-ERP inventory pipeline so stock doesn't drift under load, and stand up sale-day managed operations with clear runbooks. Personalization and AI come in the release after — once the plumbing is proven, not before.
Building in retail?
Bring us the constraints — regulation, uptime, legacy, scale — and we'll architect the system around them. Start with a scoping call.