“Cogent Labs spent a lot of time understanding what our needs were, what the needs of our operations were, and what we were trying to accomplish. Then they did a very good job of delivering on that.”
Omer Chughtai
Director of Operations, Chughtai Lab
Challenge
50 blood sample collections a day was already too many to manage manually
At first glance, 50 daily home blood sample collections does not sound like a complex operation but the reality inside Chughtai Lab's home sampling division told a different story. Running those 50 orders required 5 managers and 15 riders, and even with that team in place, the operation was constantly under strain.
Each order meant a trained rider dispatched to a patient's home to collect a blood sample and return it to the lab within a specific time window. Coordination happened manually, managers were making rider assignment decisions on feel rather than data, with no visibility into where riders actually were or what they had already been assigned. The result was predictable: some riders were overloaded while others sat underutilized, delays were frequent, and the management overhead required to keep everything moving was unsustainable at the current volume, let alone at any larger scale.
There was no system behind the operation. There was only a team of people working hard to compensate for the absence of one.
The deeper problem was that demand for blood home sampling was growing. Chughtai Lab needed to scale, but scaling a manually coordinated operation does not mean adding more riders. It means adding more managers to coordinate them, more communication channels to track, and more points of failure for things to go wrong. The team could see where this was heading, and the math did not work.
They made sure our team got access to reliable, consistent tools that allowed us to utilise our resources effectively in a manner that suited our operations.
Solution
Cogent Labs replaced coordination overhead with an intelligent logistics system
Cogent Labs designed and deployed a smart, AI-powered operations platform built specifically around how Chughtai Lab's blood home sampling division works.
The core of the system is an AI-based rider allocation engine that automatically assigns blood collection orders to riders based on three variables: location, current availability, and existing workload. What previously required a manager making judgment calls under pressure now happens in real time without human intervention, and it produces a more balanced distribution than manual assignment ever did.
Sitting on top of that engine is a centralized operations dashboard that gives the team complete visibility into every active order and every rider in the field simultaneously. For a division that previously had no real-time picture of what was happening on the ground, this was a fundamental shift in how the operation could be managed.
Order intake was restructured through a smart scheduling system that standardized how blood collection requests are logged and time-slotted, eliminating the inconsistencies that come with manual data entry. And a Redash-powered analytics layer was added to surface live performance data across the operation, giving management the reporting they needed to track KPIs, identify patterns, and make decisions on evidence rather than instinct.
Like any system, it's a work in progress. We continue to work on it, continue to improve it, and Cogent has been a great partner in developing and updating it with time.
Results
Chughtai Lab went from managing 50 blood collections with 5 managers to handling 20X the volume with the same team
The impact of the system was immediate and measurable. Order handling capacity increased 20X without any increase in team size. The same group of managers and riders that had been straining to manage 50 daily blood collections could now support a dramatically larger operation, because the coordination work had been absorbed by the platform.
Real-time visibility went from zero to complete. Every order, every rider, every performance metric is now visible at a glance, live, throughout the day. KPI tracking for on-ground riders became automated, removing the manual reporting overhead that had previously consumed management attention.
20X
increase in order handling capacity
100%
real-time operational visibility
Optimized rider allocation
replacing manual assignment entirely
We are very happy with our collaboration with Cogent and we look forward to many more projects in the future.
Conclusion
The bottleneck was never the team. It was the absence of a system intelligent enough to support them.
Chughtai Lab had capable people and genuine demand. What they did not have was an operational structure that could deploy those people efficiently at scale. By replacing manual coordination with an AI-powered logistics platform, Cogent Labs turned a fragile, manager-dependent operation into a scalable, data-driven one.
The same pattern shows up across field operations of every kind. When coordination depends on human judgment at every step, capacity is always capped by the number of coordinators you can afford. When coordination becomes systematic, capacity becomes a function of the platform, and the platform does not have a ceiling.
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