Most retail AI stalls before production. We build the systems that get it there.
Modernization, integration, and product engineering for enterprise retail — so the AI you fund actually ships, with evals, guardrails, and a human in the loop. Our own delivery runs on AI, in the code and in the QA.
A commerce stack is one system. Hover a layer to see what we engineer there.
Engineering across enterprise retail
Stacks we ship on
The AI layer
We build the AI layer — and the commerce systems it stands on
Agents that read real commerce context through MCP tools, act inside your systems, and stay accountable — confidence thresholds, human approval, and an audit trail on every action. Not a chatbot bolted on the side.
An agent that acts in your systems — and stays accountable. Hover a step to see what it does.
Explainability
No black-box models. Every recommendation carries the signals and reasoning behind it, so you can see why a decision was made.
No vendor lock-in
Agents connect to your systems through MCP, the open protocol — not a hard-wired vendor SDK. Swap the underlying model without rewriting the integration.
Data stays yours
Processing happens in-house or under access you scope and permission. No wholesale export of your data to train someone else's model.
How it actually works — a margin-erosion example
The problem surface
A SKU's margin is eroding and nobody catches it until the weekly report.
The signals it reads
Cost of goods, storage and transport cost, competitor pricing, seasonality, purchase history, browse behaviour.
The decision it proposes
A price change, with the reasoning attached alongside it.
The human approval gate
A merchandiser reviews and signs off before anything goes live. No price moves without a person in the loop.
Already have a pilot that stalled before production? That is project recovery, not a rebuild — we diagnose what is actually stuck and ship from there.
The engineering under it
Commerce engineering is still the day job.
The AI layer ships on top of systems work we have done since 2013 — replatforms, storefront builds, integrations, data foundations. Most engagements start there, not with a model.
Your partner in success
A partner that compounds with you.
Destm embeds inside your team, not across a vendor wall — same repo, same Jira, same standup, from kickoff through however long you need us. We learn your business before we write a line of code. Most engagements go quiet after launch; ours are just getting started.
Same standup · Same Jira · Same repo
Same repo, same Jira
We work inside your tools, not ours — pull requests reviewed by both sides before anything merges.
You see the CV before you sign
The engineer joining your standup is named and vetted upfront — never assigned after the contract is signed.
30-day rotation, no negotiation
If someone isn't the right fit inside 30 days, we rotate them out. One call, not a renegotiated contract.
8+ years, longest-running client
Senior engineers write the code they scoped — no offshore handoff. Our longest single-client relationship has run 8+ years.
What we build
Four layers, each doing real work.
E-Commerce Engineering
Platforms that don’t just sell — they learn.
High-performance commerce on Shopify Plus, Magento 2, Salesforce Commerce Cloud, and BigCommerce. Custom storefronts, headless architecture, complex migrations. We’ve moved 7M+ SKU catalogs with minimal-downtime cutovers.
7M+SKUs migrated
AI & Intelligent Automation
Intelligence native to every transaction.
Demand forecasting, dynamic pricing, fraud detection, personalized search, and AI agents — built on your commerce data, integrated into your existing platform. Not a bolted-on chatbot.
Eval-firstevery model ships with a regression suite
Web & Mobile Applications
Experiences that convert across every screen.
Modern, performant web apps with Next.js and React. Native and cross-platform mobile commerce with React Native and Flutter. Built for speed, SEO, and conversion.
90+Lighthouse performance score
Cloud, Data & Infrastructure
Architecture that handles Black Friday every day.
AWS, GCP, Azure — cloud migration, auto-scaling, CI/CD pipelines. Real-time dashboards, customer intelligence, and data pipelines that turn raw commerce data into revenue decisions.
Peak-readyengineered for 30× holiday surges
Running on a platform that has aged out from under you? See how we approach legacy modernization.
Case studies
Results that speak for themselves
Three engagements that show what shipping at Destm actually looks like — luxury fashion at scale, gifting + AI forecasting, multi-tenant retail data.
Our process
The Destm Acceleration Framework
Most builds run the phases in sequence, then bet the quarter on a big-bang launch. We run them in parallel — each validated with working software, not a deck — so production value lands in weeks, and compounds from there. That overlap is the acceleration.
Map
01We map the estate, the constraint, and where the money actually leaks — before proposing a line of code.
Prove
02Architecture, data models, and contracts — validated in your stack, not a slide deck.
Ship
03A production slice every two weeks, behind a flag, with rollback rehearsed before it's ever needed.
Compound
04We stay embedded. Context accumulates, the system keeps improving, and the platform gets sharper every quarter.
The method doesn't change across tracks — product builds, modernization, and AI adoption all run Map → Prove → Ship → Compound. Only the deliverable shifts: a working slice, a parallel-run cutover, or an eval suite and guardrail runbook.
What clients say
The receipts, not the adjectives.
“Destm’s work has been met with positive acclaim. The team successfully delivered a functional e-commerce website on time. The team communicated through virtual meetings, and their effectiveness and quick performance were remarkable.”
Adam Fasullo
Owner · Thinkswap Pty. Ltd.
“Our company Whole Whale has worked with Destm team for over 7 years on a wide variety of web projects. They can give quick fair quotes and then work fluidly with our team in the US, always clearly communicating a project’s status. We have used PM systems like Jira, spreadsheets, and just plain email across our projects and the Destm Tech team can adapt. If you’re reading this, I recommend Destm and would say give them a try with a small project to build trust and go from there like we did many years ago.”
George Weiner
CEO & Founder · Whole Whale
From the blog
Engineering notes, written by the people shipping it
Free AI readiness audit
See what's actually stalling your AI, before you build anything.
Five axes — data, catalog and content, operations, customer, and AI surface — scored against your real stack, not a template. Reviewed personally by Vijay or a senior Destm engineering lead.
Covers
5 axes
Data · catalog & content · operations · customer · AI surface
You get
Scored map + top 3
Opportunities and blockers, ranked
Turnaround
5 business days
From submission
Cost
Free
No sales loop
Let's build your next chapter together
Whether you're replatforming, launching something new, or embedding AI into your stack — we'd love to understand your goals and show you what partnership looks like.