Shopify Ops Intelligence Suite
Eight productized services for Shopify operators — five Shopify-tuned deployments of the Operations Algorithms canonicals, three Shopify-native products. From mom-and-pop to multi-store portfolios.
This suite serves Shopify operators across four buyer tiers — mom-and-pop store, single founder growing data-driven, established brand (possibly multi-store), and portfolio-level multi-brand operators. The packaging on each product handles the buyer range; the products themselves are the same.
The first tier is honestly described as Shopify deployments of products that already exist in the Operations Algorithms Suite — same modeling backbones, with Shopify-specific data integration and storefront-aware deployment. The cross-links go to the canonical pages; the work isn't duplicated. Tier 2 is Shopify-native — multi-store portfolio intelligence in particular has no equivalent elsewhere.
The positioning principle (kept literally from the locked decisions): operations work, not dashboards. Output is action — auto-routing, auto-pricing, auto-personalization, auto-replenishment — not prettier charts.
Storefront & customer intelligence
Shopify-tuned deployments of the canonical Operations Algorithms products — same models, Shopify-specific data integration, storefront-aware deployment.
- I·01
Demand Forecasting for Shopify
A Shopify-tuned deployment of the canonical Demand Forecasting & Inventory Engine — wired to Shopify's Orders API, Inventory API, and per-channel data, integrated with the operator's replenishment workflow.
6–12 week deployment · self-serve to custom packaging - I·02
Dynamic Pricing for Shopify
A Shopify-tuned deployment of the canonical Dynamic Pricing & Promotion Engine — wired to Shopify Discounts, Shopify Functions for custom pricing logic, and the storefront experimentation infrastructure.
6–12 week deployment · self-serve to custom packaging - I·03
Customer Clustering for Shopify
A Shopify-tuned deployment of the canonical Customer Clustering & LTV Engine — uses Shopify Customer and Orders data plus metafields, syncs results to Klaviyo and Shopify Audiences for activation.
4–8 week deployment · self-serve to custom packaging - I·04
Real-Time Personalization for Shopify
A Shopify-tuned deployment of the canonical Real-Time Personalization API — surfaces recommendations through Shopify theme app extensions, native storefront sections, or headless storefront API integration.
8–14 week deployment · custom packaging - I·05
Repeat-Purchase & Churn for Shopify
A Shopify-tuned deployment of the canonical Churn Prediction & Retention Engine — handles both transactional repeat-purchase prediction and subscription-aware churn (Recharge / Bold / Shopify Subscriptions integration), wires reactivation triggers into Klaviyo flows.
6–10 week deployment · self-serve to custom packaging
Shopify-native operations
Products that only make sense in the Shopify context — workflow automation, multi-store portfolio intelligence, audit-shaped consulting.
- II·01Flagship
Multi-Store Portfolio Intelligence
A portfolio platform — ETL across multiple Shopify stores into a unified analytical layer, cross-store and cross-brand dashboards, shared signal extraction (which products cross-perform, which customer patterns repeat across brands), portfolio-level operating alerts.
10–16 week build · ongoing data ops - II·02
Shopify Operations Workflow Automation
An integrated operations-workflow layer — Shopify Flow for the standard triggers, custom orchestration where Flow's limits run out, and the cross-workflow coordination that the point-app stack misses.
6–10 week build · ongoing operation - II·03
Shopify Operations Audit
A 2-4 week audit of the store's operations stack — current app inventory and gap analysis, workflow-optimization opportunities, data-infrastructure assessment, prioritized recommendations with effort-and-impact scoring. Packaged as an action plan the operator's team executes (or that we execute via the other Shopify Suite products).
2–4 week sprint · packaged report and recommendations
How a shopify ops intelligence suite engagement runs.
Each product has its own engagement shape — typical length, what you get, who staffs it. Across the suite, the constants are the same.
- Lead
- Bogdan
- Cadence
- Async-first
- Engagement
- Per product
- Bar
- Production
Principal engineer. Most architecture and most code ships through one keyboard.
Weekly check-ins, written updates between, calls when the decision needs the room.
Shapes listed on each product page — typically multi-week builds with ongoing operation.
Async correctness, capacity under burst, observability at every boundary.
If this fits the operation, the next step is one call.
We'll talk scope and fit. If we're not the right fit, you'll know fast.
Bogdan and team · async-first · OP—2026