Technology Stack
Your Tech Stack Is Either Supporting You, Stalling You, or Costing You
26% average reduction in technical debt tax. 18+ years of enterprise Shopify stack decisions.
Most brands can’t answer four questions about their own stack: what each application costs annually, how much of what they’re paying for they actually use, which tools do the same job, and which custom builds are still maintained because nobody has revisited the decision. We produce those answers as a list, with numbers, and you decide what to do with it.
Stack decisions are easy to make and hard to revisit
Every application in your stack was a reasonable decision when it was made. The problem isn’t any single choice — it’s that nothing forces a review, so the stack accumulates. Informed by 10,000+ hours of collective effort across enterprise Shopify builds.
What the audit turns up
Applications nobody uses and everybody pays for
Subscriptions that survived the departure of the person who championed them, tools adopted for a campaign that ended two years ago. Usually the fastest money on the table.
Paying for capability you don’t use
Enterprise tiers get bought for three features and licensed for thirty. Seat counts drift above headcount. Usually the largest single line of recoverable spend, and invisible on an invoice.
Two tools doing one job
One team adopts a tool for a gap another team’s existing tool already covers. Both get renewed. Neither gets fully adopted — you’re paying twice for a job done at about 70% either way.
Custom tools maintained past their usefulness
The custom tool that was a competitive advantage in 2019 can be a staffing dependency in 2026. Something on the market usually does it now, and often better.
Costs that don’t appear on the software invoice
The real cost is the license, plus engineering hours, plus performance cost, plus monitoring, plus its share of the difficulty of your next migration. App bloat shows up in Core Web Vitals before it shows up in accounts payable.
Why stacks don’t get fixed
Every tool has an internal advocate
Consolidation asks people to give up a tool they selected. We bring the numbers so the discussion is about the business case. On Gaia Herbs, four properties consolidated under a “Default to Default” governance model with zero tolerance for scope creep. → Technology Adoption & Change Strategy
Vendors get selected under deadline pressure
Choosing before the architecture is designed means the architecture accommodates real constraints; choosing after means rework. The decision takes a week. The contract lasts years. → Integrations
Cost and contract surprises arrive late
Licensing models, volume thresholds, and integration fees aren’t always visible during a sales process. Surfacing them after a project is underway can move a budget by six figures.
Build-versus-buy gets decided by whoever’s in the room
It’s a strategic decision with a long tail, and it frequently gets made in a sprint planning meeting by the people most capable of building the thing.
Note on scope: how the systems you keep connect to Shopify is covered on Integrations. This page is about which systems you should have.
Experience
18+
Years of Unlocking Growth
Scale
$3.14B+
in GMV Migrated to Shopify
Partnership
1 of 5
Founding NA Shopify Platinum Partners
Precision
94.7%
Implementation Predictability
Clients
8
Unicorns & Counting
Brands that modernize commerce technology with Anatta see a 26% average reduction in technical debt tax.
Five things we’ve concluded about commerce stacks
Drawn from Eighteen years of auditing and rebuilding enterprise commerce stacks.
Buy before you build
A custom tool commits you to maintaining it indefinitely. Trade Coffee’s AI taste-profile engine qualified as genuinely differentiating logic, and it was preserved through a replatform while overall custom code reliance fell from 80% to 20%. Most custom tooling we find in an audit doesn’t qualify; it exists because nothing was available when it was built.
A stack should reflect the business you’re running now
We apply this to our own work. On Mack Weldon we had built a catalog architecture years earlier that treated every color variant as a separate product — roughly 3,000 products standing in for 300. When Shopify’s native capabilities matured, we proposed retiring our own architecture and spent four and a half months rewriting the storefront. The site came out faster than it had ever been.
Evaluate vendors on ecosystem behavior
What separates vendors over a three-year horizon is how well they integrate with Shopify, whether they’ve kept pace with platform changes, and how their pricing behaves when your volume triples. That history is more predictive than a demo.
Switching costs are falling, so stop treating them as a reason to stay
Moving data between systems has gone from a project to something closer to a pipeline. If you think a new platform would genuinely serve you better, the cost of finding out is lower than it was — and a trial that doesn’t work out is a quarter and some effort, not a permanent commitment.
Fewer, better-adopted tools beat more, partially-adopted tools
A tool at 40% adoption is usually worse than not having it, because the team maintains a parallel manual process alongside it. If it can’t be adopted, that’s an argument for retiring it rather than training harder.
The work
Stack audit
A complete inventory of applications, custom tools, and integrations: what each does, what it costs annually across all cost categories, who uses it, and whether anything else already covers it.
Total cost of ownership analysis
License costs, engineering hours, performance impact, monitoring overhead, and migration burden, modeled per application.
Consolidation planning
Which components can be combined, which are redundant, and which are maintained past their usefulness — sequenced by savings against effort and risk.
Build-versus-buy assessment
For each capability you need: what the market offers, what building it would cost across three years including maintenance, and where the genuinely differentiating logic sits.
Vendor selection and vetting
SaaS partners evaluated against your budget, fitment requirements, and timeline — including Shopify integration depth, scale headroom, and pricing behavior at higher volume.
Roadmap and sequencing
A phased plan that accounts for contract renewal dates, migration dependencies, and the organizational change each retirement requires.
What you get from a stack audit
| Commitment | Acceptance criterion |
|---|---|
| Inventory completeness | Every application, custom tool, and integration, including ones not on the software invoice |
| Cost attribution | An annual figure per application across all cost categories, with the method shown |
| Redundancy findings | Named overlaps, with the recommendation and the reasoning |
| Consolidation plan | Sequenced by savings against effort and risk, with contract dates accounted for |
| Vendor assessments | Written, with the evaluation criteria visible so you can weigh them differently than we did |
| Your own copy | The full audit, in a format your team can maintain and rerun next year |
The audit is yours whether or not you engage us for the implementation.
How a stack engagement runs
Inventory
Weeks 1–2
Every application, custom tool, and integration catalogued with costs, owners, and usage.
Analysis
Weeks 2–4
Redundancy mapping, TCO modeling, build-versus-buy assessment, vendor evaluation where gaps exist.
Recommendation
Week 4–5
A sequenced plan with savings, effort, and risk against each item — presented to the stakeholders who own the tools.
Implementation
4–8 weeks per phase
Retirements, migrations, and new vendor onboarding, phased against contract dates and organizational readiness.
Timelines: The audit itself is four to five weeks for most enterprise stacks. Some brands take the audit and run the changes internally, and we scope for that outcome.
Where the stack usually needs attention
Subscription and retention tooling
Frequently the most crowded category — a subscription platform, a loyalty tool, a churn tool, an SMS tool with overlapping lifecycle logic. → Subscription & Retention Experiences
Reviews, UGC and social proof
Low individual cost, high cumulative performance impact — a storefront performance question as much as a stack one. → Enterprise Shopify Development
Search and merchandising
Often where a custom build is still in place from before the current generation of Shopify-native options existed. → Composable Commerce
Analytics and attribution
The category most likely to contain three tools that disagree, and the one where duplicate coverage does the most damage. → CRO & Experimentation
Custom internal tooling
Admin panels, reporting dashboards, and operational tools built in-house. Trade Coffee had 80% of its platform running on custom code; Grove had spent a decade building a custom subscription platform.
Duplicate properties and codebases
Gaia Herbs ran four distinct properties across two platforms before consolidating to one. Dorel Juvenile maintained four separate codebases for four brands.
Anatta’s Agentic Operating System
Every engagement runs on one system.
Senior architects paired with an agentic framework that absorbs the commodity execution — the inventory work, the cost modeling, the documentation — so the judgment gets the time it needs.
See how we workStack work we’ve run
Gaia Herbs
Four properties consolidated to one, 20%+ YoY DTC growth, every Q1 initiative on time and on budget
Explore the Gaia Herbs success storyGood Ranchers
45% lower total cost of ownership and ~40% faster development after an eight-week stack simplification
Explore the Good Ranchers success storyMack Weldon
3,000 products collapsed to 300 and CMS overhead removed — by retiring an architecture Anatta had built years earlier
Explore the Mack Weldon success storyTrade Coffee
Custom code reliance from 80% to 20%, cutting platform TCO 23% in year one
Explore the Trade Coffee success storyDorel Juvenile
Four codebases reduced to one, and a later strategy pivot with no second migration
Explore the Dorel Juvenile success storyAventon
A ground-up codebase rebuild that took product launches from a week to 20 minutes
Explore the Aventon success storyThe work didn’t feel like outsourcing — it felt like going from zero to sixty overnight with a full team ready to go.
Charley MooreVP of Finance & Operations, Mack Weldon
Anatta addressed all of our challenges in a practical way.
Chris ClarkCo-Founder & CDO, Grove Collaborative
How to audit your own stack
This is the framework we run. It works without us.
- List everything. Every application, custom tool, and integration — including the ones that don’t appear on a software invoice.
- Attach an annual cost to each. License, engineering hours, monitoring, and performance impact.
- Name an owner and a purpose. If neither is clear, you’ve found something.
- Group by job. Any group with more than one entry is a redundancy question.
- Check adoption. Anything below roughly half its intended usage is a training problem or a retirement candidate.
- Check utilization against what you’re licensed for. This step routinely finds the largest single saving.
- Flag every custom tool. Ask what the market offers now.
- Note renewal dates. They determine your sequencing whether or not you plan around them.
- Rank by savings against effort. The easy wins fund the harder ones.
- Re-examine anything kept because switching felt expensive. That cost is lower than it was.
The Commerce Stack Audit Framework
The worksheet version, with the cost categories and adoption thresholds built in. Name and email.
Frequently asked questions
How long does an eCommerce tech stack audit take?
Four to five weeks for most enterprise stacks. The main variable is documentation quality — a stack with clear ownership moves quickly, while one with several undocumented custom tools takes longer.
Can we audit our own tech stack?
Yes. Anatta publishes the same framework it uses. What a partner adds is comparative context on category costs at scale and vendor behavior over multi-year horizons.
Should we build or buy commerce tooling?
Buy, in most cases. Building is appropriate when the logic is specific to the business and nothing on the market handles it, which is a real but smaller category than most teams assume.
How much can tech stack consolidation save?
Brands that modernize commerce technology with Anatta see a 26% average reduction in technical debt tax. Good Ranchers cut total cost of ownership 45%; Trade Coffee cut platform TCO 23% in year one; Mack Weldon reduced infrastructure costs by consolidating 3,000 products to 300.
What if we have already signed with a vendor we are unsure about?
That situation is common and usually workable. Options include making the current vendor perform better, planning a transition around a renewal date, or exiting early where ongoing cost exceeds exit cost.
Will consolidating tools disrupt the teams using them?
It can if handled as a purely technical exercise. Anatta presents findings to the teams affected rather than only to the executive who commissioned the audit.
Do we need to be replatforming for a stack audit to be worthwhile?
No. A replatform is the easiest moment to consolidate, but outside of one the audit works well as an annual exercise. Findings typically pay for the engagement within the first two retirements.
Find out what your stack actually costs.
