Retail
Power BI
2024
6 min read
Retail Data Analytics Consulting: 20% Inventory Gain & 15% Sales Growth with Power BI
Industry
Retail / Home Décor
Channels
In-store · Online · 3rd Party
Region
USA
Platform
Power BI · Azure ADF
Numlytics delivered a retail data analytics consulting engagement for a leading US house decor retailer operating across three sales channels - physical stores, an online platform, and third-party marketplaces - with no unified view of sales, inventory, or customer behaviour.
The Challenge: Fragmented Multichannel Retail Data
The client's three sales channels operated on separate data systems with no centralised reporting. Teams were exporting CSVs manually, working from stale data, and making inventory decisions with no real-time visibility. A proper multichannel sales reporting Power BI infrastructure simply did not exist.
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No unified sales data: In-store, online, and third-party channels each had separate systems - no single view of overall performance
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Inventory blind spots: No real-time inventory tracking led to chronic overstock in some SKUs and repeated stockouts in others
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Manual reporting: Analysts spent hours weekly exporting and reconciling CSV files - data was typically 5–7 days stale by the time leadership saw it
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No customer behaviour insight: Shopping patterns, high-value segments, and cross-channel journeys were completely invisible
Business cost: Without a working inventory management analytics layer, the client estimated £200K+ in annual losses from overstock write-offs and lost sales from stockouts - problems that real-time Power BI dashboards can eliminate.
The Numlytics Solution:
Numlytics designed a complete retail data analytics consulting solution - assessing the existing data landscape, building automated Azure Data Factory pipelines, and delivering a Power BI retail dashboard that gave every team a single, live source of truth.
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Data Infrastructure Assessment
Numlytics audited all existing data sources across all three channels, mapped data flows, identified quality issues, and designed a centralised data mart architecture to replace the fragmented system.
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Azure Data Factory Retail Pipeline
Numlytics built an automated Azure Data Factory retail pipeline pulling data from all channels continuously - eliminating manual CSV exports and ensuring all dashboards refresh on a set schedule overnight.
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Power BI Retail Dashboard Development
Custom Power BI dashboards were built covering: sales by channel, inventory levels by SKU, customer demographics, and product performance. Every metric drills down to individual transactions.
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Data Modelling & KPI Framework
Advanced data modelling standardised reporting across departments. Numlytics built a KPI framework covering sales growth, inventory management analytics, and product performance - giving leadership a consistent measurement language.
The Results
20%
Inventory Improvement
Overstock and stockout incidents reduced through real-time Power BI inventory dashboard
15%
Sales Increase
Driven by targeted marketing informed by customer demand analytics in Power BI
5–7 Days → Live
Data Freshness
Manual CSV exports replaced by automated Azure Data Factory nightly refresh
3 Channels
Unified
In-store, online, and third-party data in one Power BI retail dashboard
Before Numlytics
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3 siloed systems, no unified view
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5–7 day old data when actioned
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Inventory decisions are made blindly
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Weekly manual CSV reconciliation
After Numlytics
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Single Power BI retail dashboard
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Live data refreshed nightly via ADF
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20% inventory efficiency gain
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Zero manual reporting overhead