Case Study
RetailCo cut inventory reconciliation lag from 48 hours to under 5 minutes across 100+ stores.
RetailCo a national apparel and lifestyle retailer was running in-store POS on a legacy MultiValue platform while its e-commerce and analytics stack relied on SQL Server and Power BI. The gap between them was costing the business in missed sales, frustrated customers, and manual operational overhead every single day.
<5 min
Reconciliation lag (from 48 hrs)
Real-time inventory sync replaced nightly batch jobs, giving merchandising teams live visibility across all channels within minutes.
$150K
Estimated annual savings
Reduced operational overhead from ETL maintenance, markdown losses from stock mismatches, and expedited shipping costs from poor stock visibility.
0
ETL failures per week
Down from 3–5 weekly failures. MVsync's continuous replication eliminated the fragile batch jobs entirely.
33%
Reduction in stockout incidents
SKU stockout rate fell from 18% to 12% per month as merchandising teams gained accurate, real-time stock positions across stores and online.
Business Challenge
Business Challenge
RetailCo faced persistent inventory mismatches across channels. Stock that was available in-store showed as out-of-stock online. Promotions launched on the website while stores still held surplus of the promoted items. And by the time the nightly ETL job had run, the data was already out of date.
Stockouts online while stores held excess inventory causing lost sales and customer frustration simultaneously.
Manual nightly ETL jobs ran overnight, creating a 24–48 hour reconciliation gap between the MultiValue POS and the SQL-based e-commerce system.
ETL pipelines failed 3–5 times per week, requiring manual intervention to restart and reconcile.
BI teams worked with 2–3 hour old reports, making real-time demand forecasting and merchandising decisions unreliable.
MVsync Deployment
MVsync Deployment
RetailCo implemented MVsync to bridge their MultiValue POS and SQL Server environments with zero disruption to existing operations. MultiValue-native staff continued using existing tools unchanged, while SQL analysts gained live inventory views via Power BI and Tableau.
Rapid setup
MVsync was installed and configured in under 8 hours with no changes required to the existing MultiValue POS schema or the e-commerce SQL database.
Dynamic transformation
Inventory data replicated in real time, appearing normalised in SQL without altering the original MultiValue structure.
Dual access preserved
MultiValue-native users continued using existing tools. SQL analysts accessed live views via Power BI and Tableau without waiting for batch jobs.
Schema flexibility
When new product attributes (e.g. 'sustainability rating') were added to the MV system, MVsync required only a transformation tweak no code changes.
Results
Results
| Metric | Before MVsync | After MVsync |
|---|---|---|
| Inventory reconciliation lag | 24–48 hours | < 5 minutes |
| SKU stockout rate | 18% of SKUs/month | 12% of SKUs/month |
| Manual ETL failures | 3–5 per week | 0 |
| BI report refresh time | 2–3 hours | < 10 minutes |
| Setup time | N/A | Under 8 hours |
“MVsync gave us the best of both worlds preserving our MultiValue investment while unlocking SQL-native agility. It's the quiet engine behind our omnichannel transformation.”
Chief Information Officer, RetailCo
Running MultiValue POS alongside modern analytics?
Talk to the Prosol team about how MVsync can bridge your MultiValue environment with SQL Server and modern BI tools without touching either system.