Building A Single Source Of Truth For A Fast-Growing Delivery Business
Turning fragmented operational data into real-time decision making, without disrupting a business that could not pause.
Product Strategy & Data Automation
- Operations
- Data Automation
- API Integration
- Analytics
- Faster support response
- 90%Faster support responseFrom 10 minutes to under 1 minute
- Operational reporting
- Real-timeOperational reportingReplaced a 3-day manual cycle
- Data integrity gain
- 70%Data integrity gainAcross all tracked KPIs
- BD onboarding success
- 65%BD onboarding successImprovement in completion rates
Growth outpaced the systems holding the business together
BeU Delivery was scaling quickly, and the operational stack had grown by accumulation rather than design.
The delivery app, driver tracking system, call centre tools, and manual spreadsheets were completely disconnected from each other.
Leadership had no single source of truth. Every question about performance required someone to assemble an answer by hand.
The company was making fast decisions on data that was already three days old.
The cost of fragmentation showed up everywhere
Manual reporting took three days to compile, so every strategic decision was made against stale numbers.
Customer support response times sat around ten minutes per order because operators were reconciling information across systems in real time.
The business development team had no visibility into their own pipeline, which made onboarding inconsistent and accountability difficult.
This was not a dashboard problem. It was a decision-making latency problem.
We connected the systems that existed rather than replacing them.
A full platform overhaul would have taken months and disrupted live operations. The business needed visibility now, at a fraction of that cost.
Integrate, do not rebuild
Existing systems stayed in place and were connected through APIs instead of replaced.
Visibility is accountability
Making performance visible changed behaviour faster than any process document could.
Scope tightly, ship fast
A narrow intervention delivered in weeks was worth more than a complete solution delivered in a year.
Four judgement calls that turned a data problem into an operating advantage
The technology here was not difficult. The discipline to scope it precisely and refuse the larger rebuild was the actual product work.
- 01
Refuse the platform overhaul
The obvious ask was a unified system. I scoped a nerve centre instead, a thin data layer over the systems already running, which avoided months of disruption to live operations.
- 02
Attack reporting latency before reporting depth
A simple live dashboard beat a rich three-day report, because the value was in decision speed rather than analytical richness.
- 03
Automate order routing to unload the call centre
Assignment logic removed the manual step that was driving both response times and operator error, which was where the 90% improvement actually came from.
- 04
Build for the BD team, not just for leadership
A one-click target-setting interface gave business development their own visibility, which turned the dashboard from an executive reporting tool into something the team used daily.
Ten minutes became under one minute
Automated order routing combined with a unified operator view removed the manual reconciliation step from customer support. Response time per order dropped from roughly ten minutes to under one, which changed what the support team was capable of handling at the same headcount.
The API integration layer
A real-time data pipeline pulled live events from the driver tracking application and the order management system.
Manual data entry was eliminated as the primary source of reporting delay.
Once events flowed automatically, the three-day compilation cycle had nothing left to compile.
Dashboards and team tooling
A live analytics dashboard gave leadership an executive view across the full order lifecycle, covering delivery time, completion rate, and team performance.
A custom interface let business development and HR set performance targets and track them automatically.
Both were built on the same data layer, so there was one version of every number.
Step-change improvements across daily operations
The intervention was narrow, and the effect on how the business ran day to day was immediate.
- Faster support response
- 90%Faster support responseFrom 10 minutes to under 1 minute
- Reporting
- Real-timeReportingReplaced the 3-day cycle
- Data integrity increase
- 70%Data integrity increaseAcross all tracked KPIs
- BD onboarding success
- 65%BD onboarding successImprovement in completion rates
The real deliverable was not the dashboard. It was that leadership stopped arguing about whose numbers were correct and started arguing about what to do next.
Removing friction is rarely the most visible product work, but in a high-velocity operation it is frequently the highest leverage.
In high-velocity environments, visibility is accountability.
A product leader often contributes most by removing the friction that prevents a team from moving at full speed.
The technology here was straightforward. Scoping it precisely and delivering it quickly was the real product decision.
Move from visibility to prediction
With clean real-time data flowing, the next step is forecasting demand by zone and hour so that driver allocation becomes a planning decision rather than a reaction to whatever the current queue looks like.