A logistics company running five separate platforms (WMS, TMS, accounting, CRM, and HR portal) needed a single view of operations without replacing any existing system. Bitvea built a custom aggregation layer that connected all five platforms via APIs, created unified dashboards, and automated cross-system workflows. The result: manual reporting time dropped by 70%, management gained real-time visibility across every department, and the entire project was delivered in 8 weeks with zero system replacements.
Logistics and supply chainThe client is a mid-sized logistics company with 85 employees operating across three warehouses and a central office. Their daily operations depended on five different software platforms: a warehouse management system (WMS) for inventory and fulfillment, a transport management system (TMS) for route planning and shipment tracking, an accounting platform for invoicing and financial reporting, a CRM for customer relationships and sales, and an HR portal for employee scheduling and payroll. Each system had been adopted at a different point in the company's growth, chosen by the department that needed it most at the time. None of them shared data natively. The company had tried connecting some systems through built-in integrations and Zapier workflows, but the results were fragile and limited. Departments relied on manual exports, email threads, and weekly meetings to keep each other informed. Management wanted a single source of truth but could not justify the cost or disruption of replacing all five platforms.
Every Monday, the operations manager spent three hours pulling data from each system into a master spreadsheet. By Wednesday, the numbers were already outdated. The warehouse team tracked inventory in the WMS, but the sales team in the CRM had no visibility into stock levels, leading to orders placed on items that were out of stock. Finance could not reconcile shipment costs with invoices without manually cross-referencing the TMS and accounting software. HR scheduling was disconnected from warehouse demand, causing overstaffing on slow days and shortages during peak periods. Previous attempts to connect systems through Zapier and CSV exports broke regularly, required constant maintenance, and covered only a fraction of the needed data flows. The company was growing, but its information infrastructure was not keeping up.
Bitvea built a custom aggregation layer that sits between all five existing systems without replacing any of them. The layer connects to each platform through its API (or database directly where no API existed), normalizes the data into a shared model, and pushes it into a unified dashboard. Automated workflows handle the most painful cross-system processes: new orders in the CRM trigger stock checks in the WMS, shipment completions in the TMS automatically update invoicing in accounting, and warehouse demand forecasts feed into HR scheduling suggestions. The entire system runs on event-driven architecture, so data stays current in near real-time.
A single interface showing live data from all five systems. Managers see inventory levels, active shipments, open invoices, pipeline value, and staffing at a glance. Filters allow drilling down by warehouse, department, or time period. The dashboard loads in under two seconds and refreshes automatically every 60 seconds.
Custom connectors for each platform, handling authentication, data normalization, and error recovery. Where APIs were limited (the HR portal had only basic endpoints), Bitvea built direct database read connectors with change-detection logic. All connectors include retry logic and alerting so the team knows immediately if a data source goes offline.
Event-driven workflows that trigger actions across platforms automatically. When a deal closes in the CRM, the system checks WMS stock, creates a shipment draft in the TMS, and prepares an invoice in accounting. When shipments complete, costs are reconciled automatically. These workflows replaced the manual steps that consumed most of the operations team's time.
The system analyzes order volume trends from the CRM and shipment schedules from the TMS to forecast warehouse demand. It then generates staffing suggestions pushed to the HR portal, flagging days that are likely understaffed or overstaffed. Managers review and approve with one click. This alone reduced scheduling mismatches by over 50%.
The project started with a one-week discovery phase where Bitvea mapped every data flow between departments, identified the highest-impact pain points, and documented the API capabilities (and limitations) of each system. Week two focused on designing the data model and dashboard wireframes, reviewed directly with the operations manager and department leads. Development ran in three two-week sprints. The first sprint delivered the aggregation layer and basic dashboard with data from the WMS and TMS. The second sprint added CRM, accounting, and HR portal connectors. The third sprint built the automated workflows and scheduling suggestions. Rollout included a one-week parallel run where the team used both old and new processes side by side, followed by full cutover with two weeks of on-call support.
Timeline: 8 weeks from kickoff to deployment
You do not have to replace existing systems to get unified visibility. An aggregation layer that connects what you already have is faster, cheaper, and less risky than a full platform migration.
Mapping every cross-department data flow during discovery was essential. Several pain points the team assumed were minor turned out to be the biggest time sinks once we measured them.
Event-driven architecture made the difference between a static reporting tool and a live operational system. Data that updates in real-time changes how teams make decisions throughout the day.
Starting with the two most interconnected systems (WMS and TMS) in the first sprint gave the team immediate value and built confidence in the approach before adding more complexity.
“We spent years thinking we would eventually need to rip out all our systems and start over. Bitvea showed us that was not necessary. They connected everything we already had, and now I can see the entire operation from one screen. The Monday reporting marathon is gone, and our teams actually have the same numbers for the first time.”
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