Retail case study

12-store Business Central rollout with real-time inventory and intercompany postings

A fast-growing apparel chain consolidated 4 legacy POS + accounting systems onto Dynamics 365 Business Central with a custom Shopify connector. 6-month payback, +31% stock accuracy, 12 stores live.

The Challenge

Where the customer was when they called us

The customer was an apparel chain that had grown from 2 to 12 stores in 30 months. Each store had its own POS, its own accounting (mixed: Tally, QuickBooks, an early-stage SaaS), and its own way of counting stock. The CFO closed books 21-25 days after month-end. There was no answer to “how many of SKU X do we have across the chain right now?”

The CEO had a 9-month deadline to be on a single ERP before opening 6 more stores in the next financial year.

What we built

The solution architecture

  • Dynamics 365 Business Central as the single ERP, hosted on the India region.
  • Standard chart of accounts + dimension model: Store, Department, Brand, Channel.
  • Item / variant / colour-size grid model matching the apparel category structure.
  • Custom Shopify connector (AL extension) syncing customers, products and orders bi-directionally.
  • POS integration: store-level POS posts daily Z-report into BC as a pre-validated journal batch.
  • Intercompany postings between the 12 store entities and the holding company.
  • Power BI executive dashboard: SKU-level stock across all stores, plus daily sales by category.
Outcomes

What changed for the business

All numbers anonymized and rounded. Detailed reference call available under NDA.

6 mo Payback period license + implementation cost
+31% Stock count accuracy cycle-count vs system
12 Stores live staggered over 16 weeks
D+3 Month-end close from D+21-25 prior
Tech stack

Built on Microsoft Cloud

The full Microsoft estate — no proprietary lock-in beyond what the customer already runs.

Dynamics 365 Business Central AL extensions Power BI Power Automate Shopify Azure Data Lake Gen2 Azure Logic Apps Microsoft 365
Why KIT

What made the engagement work

  • Pre-built apparel data model accelerated the design phase by 4 weeks.
  • Phased “1 store, 3 stores, 8 stores” rollout pattern reduced cutover risk.
  • Hyper-care pod stayed on for 60 days post each cutover — no surprise period-end issues.

Ready for an outcome like this?

Book a 90-minute discovery workshop. We’ll map your goals, sketch an architecture and quote a realistic phase-1 scope.

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