Storefront architecture that survives iteration
Themes, product pages, collection structures, custom sections, metafields, metaobjects, redirects, and storefront decisions built to keep changing without collapsing.
Ecommerce engineering + creative production
Ecommerce systems that do not fall apart under real usage.
Shopify, apps, data pipelines, automation, and the creative assets that actually drive revenue - handled together, not split across five disconnected workflows.
Most ecommerce setups fail at the connections.
Developers build the store. Marketers request assets. Editors make ads. Someone exports product data. Someone else patches tracking.
The failure is usually not the tool stack. It is the absence of ownership between the tools. Mirakle works in that middle layer: engineering, product data, automation, and creative production moving in the same direction.
Domains of ownership
What gets handled
Systems that remove manual work, not add dashboards
Apps, APIs, webhooks, sync jobs, internal tools, and automations that reduce operational drag instead of creating another place to log in.
Product and competitor data you can actually use
Scrapers, product feeds, structured imports, content mapping, and ecommerce intelligence shaped into workflows instead of spreadsheet noise.
Content built to plug directly into campaigns
Product videos, social cutdowns, edits, color, ad variants, and post workflows tied to landing pages, offers, and product reality.
Typical problems
Problems that belong here
The store is live, but the workflow is brittle
Every campaign depends on manual edits, duplicated data, and fragile theme changes.
Nobody owns the system end to end
The agency, developer, editor, and internal team each own one part, but the business depends on how those parts connect.
Product data blocks creative execution
Content, feeds, metadata, translations, and collections need cleanup before campaigns can move quickly.
Automation exists as isolated experiments
AI tools, scripts, and dashboards need to attach to real ecommerce operations, not sit beside them.
The useful overlap is where the work happens.
Good ecommerce is not only code and not only content. It is the connection between storefronts, product data, automation, and the assets that make the store worth visiting.
Engagements
Ways the work gets structured
Defined build
A specific Shopify section, app, automation, migration, landing page, scraper, ad package, or post-production deliverable with clear scope.
Ongoing ownership
A continuing technical and creative partner for ecommerce systems that keep evolving.
Rescue and reconstruction
Broken workflows, unfinished builds, unclear technical debt, migration problems, and systems nobody can explain cleanly.
Campaign execution
Landing pages, product data, tracking, creative variants, and video assets aligned around a campaign instead of handled in silos.
Fit
Who this is for
- Shopify brands that have outgrown theme-level fixes.
- Agencies that need technical execution without constant translation.
- Founders who want a practical operator, not a bloated agency process.
- Ecommerce teams turning AI and automation into actual workflows.
- Brands that need storefront work and video/ad production to align.
- Teams with messy data, migrations, or operational bottlenecks.
Bring the problem that does not fit cleanly into one category.
Storefront issue, app idea, migration, automation, scraper, product-data mess, ad workflow, or content bottleneck - the useful work usually starts where the categories stop helping.
Describe the project