E-commerce Revenue Boost
Automating a manual order fulfillment process to save 30+ hours per week and increase revenue by 15%
A growing business challenge
Our client, a high-growth e-commerce business selling direct-to-consumer apparel, was facing a major bottleneck in its operations. As orders surged, the small team was overwhelmed with manual tasks that consumed valuable time and resources.
- Order intake. New orders from their storefront triggered a series of manual steps, each one a copy and a paste.
- Inventory and shipping. A team member had to check inventory levels in a separate spreadsheet, create a shipping label, and then update the order status in the CRM.
- Customer communication. Order confirmations and shipping updates were drafted and sent by hand.
- Data silos. Sales, marketing and logistics data were fragmented across disconnected platforms, so nobody could see the day as a whole.
By the fourth quarter the team was spending more of the week keeping the system fed than selling through it.
The solution: one seamless, automated workflow
After a discovery phase, we designed and implemented a custom no-code solution that connected their key platforms — the storefront, a shared database and their email platform — through a single visual automation canvas.
- Instant order sync. A new order automatically created a record in a centralized database.
- Automated inventory and shipping. That record triggered a scenario that checked stock, generated a shipping label through a third-party service, and wrote the result back.
- Real-time communication. Once the label existed, a confirmation carrying the tracking number went out to the customer.
- Consolidated reporting. Sales, stock and shipping data landed in one place, so the dashboards built themselves.
Implementation
Our implementation followed a clear four-phase method.
- Phase 1 — Discovery (1 week). We mapped the existing process, identified the bottlenecks, and chose the tools that fit them.
- Phase 2 — Design (1 week). We architected the new workflow on a visual canvas, making sure every integration point was secure and could scale.
- Phase 3 — Build and test (2 weeks). We built the automations and tested them hard, including the edge cases that only appear on a busy Friday.
- Phase 4 — Optimization and training. We trained the team and left them a monitoring dashboard so they can see the system working.
Quantified results
The automation delivered an immediate and measurable impact.
- 100+ hours automated per month
- 15% increase in monthly revenue
- 99.9% accuracy in data entry
- Order fulfillment time cut from hours to minutes
The team now spends its week on merchandising and customer care. Read how we approached a similar problem in SaaS onboarding.
