Core features.

2.1 — DashboardDashboard.

The dashboard is your catalog health snapshot — the first thing you see when you open Murex. It pulls together the highest-priority signals from every other surface into one page.

KPI cards

Six cards across the top give you an at-a-glance overview:

Recommendations feed

A prioritized list of actionable recommendations from all of Murex’s engines. Every recommendation includes:

• Type (color-coded badge)
• Priority level — High, Medium, or Low
• Affected products and SKU count
• The data rationale behind the recommendation
• A quick action button

Performance tables

Five sortable, searchable tables round out the dashboard:

1. Top performing products — highest STR products with units sold and inventory
2. Lowest performing products — lowest STR products with risk flags
3. Category performance — product count, units sold, inventory, and STR by category
4. Best sellers — top 30 ranked by 30-day units sold with week-over-week rank changes
5. Product affinity — products frequently bought together with co-occurrence rates

All tables support search by product name or SKU, and filtering by season and category.

2.2 — CatalogProducts.

The Products page shows your full catalog with per-product and per-variant performance data.

• Grouped by parent product with all variants summed
• Columns — Product name, Category, STR%, Units Sold (lifetime), Inventory, Risk Flag
• Color-coded STR bars — red below 30%, yellow 30–59%, green 60%+
• Sorting — by STR (default), variant count, or inventory
• Filtering — by time frame (7 / 14 / 30 / 60 / 90 days), category, or season

Product detail modal

Click any product to open a modal with full variant breakdown, plan-vs-actual (if a buy doc is loaded), affinity data, collection membership, and best-sellers rank.

2.3 — Roll-upsCategories.

The Categories page rolls up performance data by category — using your buy document’s taxonomy if uploaded, or Shopify product types otherwise.

• Columns per category — product count, units sold, inventory, STR%
• Expandable rows — click a category to see all products within it
• Sorting — by STR (default), product count, or inventory
• Use case — quickly identify which categories are outperforming or underperforming your catalog average

2.4 — IntelligenceRecommendations.

The Recommendations page is your command center for all of Murex’s intelligence engines. Murex runs ten distinct recommendation types, each with its own data inputs and rationale.

How recommendations work

• Deterministic, rules-based engines. No black-box AI — every recommendation shows you the data behind it.
• Regenerated every sync cycle (every 15 minutes).
• Filterable by engine type, priority level, and category.
• Dismissable — moved to a history tab; last 50 retained.
• Opt-in collection push — if enabled in Settings, merchandising recs can push sort-order changes directly to your Shopify collections, but only with your explicit approval.

2.5 — Best sellersBest sellers.

The Best Sellers view (accessed from the Recommendations page) manages your top-selling products list.

• Rankings — top 20–30 products ranked by units sold over a rolling 30-day window, aggregated at the parent-product level
• Trend tracking — week-over-week rank changes shown with color-coded badges (green = moved up, red = moved down, gray = stable)
• Pending actions — products flagged for addition to or removal from your best-sellers collection
• Approval flow — all collection changes require explicit approval; Murex never publishes without confirmation
• Audit trail — every push is logged with timestamp, user, and affected products

2.6 — AffinityProduct affinity.

The Affinity view (accessed from the Recommendations page) shows co-purchase analysis.

• Rolling 90-day window, recalculated each sync
• Columns — Product A, Product B, co-occurrence count, % of Product A orders, suggested action
• Actions suggested — Bundle, Cross-sell, or Upsell based on co-occurrence patterns
• Use case — identify which products customers naturally buy together to inform bundling, cross-sell, and collection merchandising

2.7 — ProjectsProjects.

Projects let you track independent product sets — perfect for collaborations, limited editions, and ad campaigns. A project gets its own scoped dashboard that mirrors the main one but only includes that project’s SKUs.

Creating a project

• Project name — required (e.g., “Colorado Rapids Collab S26”)
• Project type — Collab, Limited Edition, Ad Campaign, or Custom
• Description — optional
• Date range — optional tracking window with start and end dates
• SKUs — select from your Shopify products or upload via CSV
• Buy quantities — set per-SKU planned quantities (independent from your main buy document)

Project dashboard

Each project gets its own scoped dashboard that mirrors the main dashboard but only includes the project’s SKUs:

• Project-level STR using project buy quantities
• Project-scoped KPI cards (stockout risk, dead stock, etc.)
• All recommendation types scoped to the project’s products
• Variant performance table
• Affinity analysis within the project set and to products outside it

Archiving

• Projects are archived manually — no auto-archiving
• Archived projects become read-only with all data and recommendations preserved
• Access archived projects from the “Archived Projects” tab