Case study · E-commerce
Replace the fulfilment spreadsheets.
We built a multi-source AWS pipeline for a direct-to-consumer appliance brand, replacing manual spreadsheets with automated Flash and MIS reporting and a Power BI order-journey view.
Engagement detail
The problem
A direct-to-consumer connected-appliance brand selling through Shopify needed a consolidated, automated view of sales, delivery, returns and fulfilment. Order, delivery, returns and fee data lived across Shopify, an ERP and other operational tools with no unified reporting layer. Reconciling them by hand was slow and error-prone, leaving the business without a single source of truth for fulfilment health, fee accuracy or revenue.
What we built
We built a multi-source pipeline on a cloud-native AWS architecture, integrating Shopify, the ERP and auxiliary systems and feeding automated reporting and a Power BI dashboard suite. Deliverables include an automated Flash Report distributed by scheduled email (sales, deliveries, returns, fees and fulfilment health), a monthly MIS report covering sales, fees, payouts and fulfilment end to end, and a Power BI Order Journey dashboard built on the full order-lifecycle dataset.
Impact
- Consolidated, automated reporting replacing manual spreadsheets.
- End-to-end visibility into order lifecycle, fulfilment health and fee accuracy.
- A scalable AWS pipeline supporting ongoing automated reporting.
On sourcing. Every fact and figure here comes from Sail Analytics' project record for this engagement. Client names are withheld where they were not released for publication.
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