Executive Overview
Sales, GM%, basket size, store ranking, and trendlines.
- Sales
- GM%
- Basket size
- Store ranking
Retail Analytics
Retail Analytics with Power BI
Bring POS, e-commerce, and marketing into one model. Track margin and sell-through in real time, forecast demand, and launch data-backed promotions that actually move stock.
Single source of truth across stores & channels
Forecasts, low-stock alerts, and reorder triggers
Role-based dashboards for execs, merch & store ops
Live margin trackingSell-through in real time
Demand forecastingNever miss a reorder
Overview
What our retail ERP solution can do for you
Our retail management solution of choice is an all-in-one system that extends Microsoft Dynamics 365 Business Central with the industry-specific functionality of LS Retail's LS Central to provide one single platform for financials, POS, store operations, supply chain, inventory, e-commerce, and loyalty.
Unified Platform
Replace fragmented tools with one single source of truth. Stop searching across disjointed databases and eliminate repeat entry.
Visible Performance
See business performance at a glance. Act instantly to cut costs, grow revenue, and identify high-value opportunities.
Lift Loyalty
Understand your customers better. Use data-backed insights to drive retention and improve customer lifetime value.
Why Teams Switch
- Unified SKUs & Stores
- Role-based Dashboards
- Automated Refresh
Powered by BC + LS Central
90%
faster reporting
12%
revenue uplift
200k
dead stock cleared
24×7
refresh pipelines
The Approach
How it works
Four steps from raw, scattered data to decisions your team acts on daily.
Integrate
All sources — Shopify/Shopcada, POS, ERP, ads, CRM — into a governed lake with unified SKUs, stores, and calendars.
Model
Star schema (Sales, Inventory, Customer, Product, Store) with conformed dimensions, incremental refresh, RLS, and data-quality checks.
Visualize
Role-based dashboards (Exec, Merch, Store Ops, Marketing) with drillthrough, mobile views, and field parameters.
Act
Alerts (low stock, margin erosion, promo uplift), reorder triggers, and export/sync to your tools.
What you get in 2–4 weeks
- Baseline lake + semantic model
- 6 core dashboards & KPIs
- Hourly/daily refresh pipelines
- Data dictionary & KPI catalog
- RLS roles & access setup
- Handover & training session
Dashboards included
ExecutiveSales & GM%Demand & InventoryCustomer & CLVPricing & PromoMerch & Assortment
Dashboards
Prebuilt pages tailored to common retail decisions.
Demand & Inventory
Sell-through, coverage days, reorder alerts, and forecast.
- Sell-through
- Coverage days
- Reorder alerts
- Forecast
Customer & Loyalty
Cohorts, CLV, repeat rate, and promo effectiveness.
- Cohorts
- CLV
- Repeat rate
- Promos
Case Study
Budget jewellery retailer
8,000+ SKUs across necklaces, rings, earrings, bracelets.
1
Unify data
From e-commerce, POS, ERP into one model.
2
Score products
On sales, profit, ratings to surface winners.
3
Right-size stock
Via coverage and sell-through alerts.
4
Iterate promos
Using uplift attribution and basket analysis.
Results in 90 days
+12% revenue
after promoting best-sellers and clearing slow movers.
$200k dead stock
identified and liquidated.
90% faster reporting
through automated refresh and templates.
+20% marketing ROI
by targeting high-value cohorts.
FAQ
Frequently Asked Questions
Shopify/Shopcada, POS, ERP, CRM, ads platforms, spreadsheets, and databases via connectors/APIs.
Baseline dashboards typically in 2–4 weeks depending on data quality and scope.
Yes. We integrate and model data without forcing system changes; we focus on the analytics layer.
Ready to see your retail KPIs in one place?
We'll connect your sources and deliver a baseline dashboard, then iterate with your team.