Challenges
- Seasonal traffic spikes
- Fragmented commerce and inventory systems
- Pressure to personalize at scale
Our approach
- Elastic, cost-aware cloud architecture
- AI-driven personalization
- Unified platform engineering
Capabilities
What we build for e-commerce & retail.
What we design for
The constraints that shape architecture decisions in this sector.
- Checkout isolated and treated as critical infrastructure
- Peak capacity that has been load-tested, not projected
- Inventory accuracy across channels treated as a correctness problem
- Cost modelled alongside scale so headroom does not become a permanent bill
Typical engagements
The work teams in this sector most often bring to us.
- Re-architecting checkout for peak-season load
- Unifying inventory and orders across channels
- Adding recommendation or personalization to a storefront
- Replatforming off a monolithic commerce suite in stages
Why Dopstack
Why teams in this sector work with us.
From the blog
Related engineering scenarios.
Representative problems and approaches, not published client projects.
Services
How we usually engage here.
FAQ
Questions we get asked.
Can you work with our existing commerce platform?
Yes. Much of this work is composing services around a platform you keep, rather than a full replatform.
How do you prepare for a sales event?
Load testing against projected peak, capacity and cost modelling, event-specific runbooks and alerting — and a rehearsal before the date rather than after it.
Do you build personalization?
Yes, as a production system evaluated against real conversion behaviour rather than an offline metric.