Clarity.Ecommerce operations your team can trust.

We unify commerce data, automate fragile workflows, and build owned software for DTC operators.

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Shopify, ads, support, inventory, financeOne dependable operating viewSenior-led from scope to handoverSource code owned by youProduction safeguards includedDocumented systems, not black boxesHonest scope before implementationShopify, ads, support, inventory, financeOne dependable operating viewSenior-led from scope to handoverSource code owned by youProduction safeguards includedDocumented systems, not black boxesHonest scope before implementation
3 + 3
Commerce and intelligence sources unified
4 of 5
Platform modules live in production
<1s
Documented dashboard read time
100%
Code and infrastructure owned by you
01Operating confidence

Not another dashboard. A dependable operating layer.

DTC teams rarely need one more tool. They need Shopify, marketing, support, inventory, and finance to describe the same business, with clear ownership when something fails.

Commerce data
Fragmented setupSeparate reports with conflicting definitions
StrativraA governed model with documented metrics
Operational workflows
Fragmented setupManual handoffs and silent automation failures
StrativraObservable runs, retries, and exception queues
Decision support
Fragmented setupCharts without ownership or next actions
StrativraRole-specific views tied to operating decisions
System ownership
Fragmented setupVendor dependency and proprietary logic
StrativraYour code, infrastructure, and documentation
Delivery control
Fragmented setupA long brief followed by a late reveal
StrativraSenior-led scope and reviewable working software
Technical risk
Fragmented setupSecurity and edge cases deferred
StrativraPermissions, audit trails, monitoring, and handover
How it looks in practice

Commerce systems that agree with each other.

We connect the data, decisions, and workflows behind your store into software your team can operate with confidence.

03Recurring builds

Four commerce patterns worth owning.

Each pattern removes a recurring source of uncertainty from the operation. Scope and timing depend on data quality, integrations, roles, and risk.

01

Commerce operations cockpit

One live view reconciling Shopify, ad spend, inventory, and contribution signals for the weekly trading meeting.

Primary resultTrusted decisions
02

Merchandising workflow

Product launches, creative approvals, inventory checks, and channel readiness managed in one accountable flow.

Primary resultClear ownership
03

Order exception desk

Payment, fulfillment, fraud, and support exceptions routed to the right person with the full customer context.

Primary resultFewer blind spots
04

Wholesale portal

Account-specific ordering, approvals, documents, and status visibility without another disconnected spreadsheet.

Primary resultOwned software

AI can generate software. It cannot own the outcome.

Anyone can produce a demo now. Deciding what deserves to exist, then hardening the last twenty percent so it survives an audit, is the work we are hired for.

In operation

Your team sees the issue, the context, and the next action.

The system is documented, observable, and owned by you. It supports the operation instead of creating another dependency.

04How it works

From operating problem to dependable system.

  1. 01

    Discovery call

    Thirty minutes to identify the operating decision, map the systems involved, and surface the risky assumptions before anything is built.

  2. 02

    Sprint kickoff

    We define the smallest useful outcome, the source-of-truth data, access rules, failure paths, and acceptance criteria in writing.

  3. 03

    Iterate in the open

    You review working software against real operating scenarios. Trade-offs surface while they are still inexpensive to change.

  4. 04

    Ship and hand over

    Production checks, monitoring, documentation, and a transferable handover. Your team owns the system and knows how it behaves.

05Fit

The right fit starts with an accountable outcome.

We will recommend a simpler product or no build at all when custom software is not the responsible answer.

A good fit

  • A DTC operation where Shopify, marketing, inventory, support, and finance tell different stories.
  • A recurring workflow that depends on spreadsheets, inboxes, or automations nobody fully trusts.
  • A preference for owning the code and running it yourself afterwards.
  • An ecommerce leader who can define the decision, process, or customer experience that needs to improve.

Not a fit

  • A consumer mobile application expecting a hundred thousand users on launch day.
  • A vendor search based on the lowest quote rather than operating ownership and production quality.
  • An appetite for open-ended scope and weekly status meetings.
  • A procurement process that takes six weeks to reach a decision.

What fourteen days actually covers

Fourteen days is our median for a scoped build with one primary workflow. It is a real date, not a slogan, which is exactly why we will not attach it to work that cannot hold it. Anything larger is split into consecutive two-week sprints, each separately priced and each ending with something running in production.

Ships inside one sprint

  • Workflow automation across systems with an API3 to 5 days
  • Operational or financial dashboard on existing data5 to 10 days
  • Internal tool replacing a spreadsheet process10 to 14 days
  • Wholesale portal with two or three roles14 to 18 days

Needs longer, and we say so

  • Regulated products needing formal audit or penetration testingMulti sprint
  • Migration off an undocumented legacy databaseDiscovery first
  • Integrations with systems that expose no APIScoped case by case
  • Native mobile, or machine learning trained rather than calledNot our lane
06Our standard

Built to be owned, operated, and trusted.

If the first sprint does not put a build into production that you can use, you owe us nothing. Most agencies keep the risk on your side of the table behind phases and milestones. We would rather write the commitment into the contract.

A scoped v1 may reach production in fourteen days when the data, integrations, and risk allow it. Larger or regulated work receives an honest programme, not an artificial deadline.

07Questions

Before you book the call.

We focus on three connected problems: fragmented commerce data, repetitive operational workflows, and off-the-shelf software that no longer fits. Typical work includes ecommerce dashboards, Shopify-connected operations tools, reliable automations, and governed data integrations.

Next step

Bring us the decision your systems make difficult.

Thirty minutes on a call is enough for us to tell you whether it is a two-week build, a longer programme, or something you should not build at all. You leave with a fixed number and a date either way.

Review the practices