Written by Kamlesh Parikh — B.E. (Civil), PG Dip. Project Management, PG Dip. ADR · 40+ years in practice
Updated 24 October 2026 · 6 min read
Sensor-equipped bins and route analytics promise fewer trips, lower fuel use and cleaner streets. Yet many smart waste pilots end with an impressive dashboard and no decision. Having run an IoT-based collection optimisation pilot, here is how I design pilots that lead to a clear scale-up decision.
Define what you want to improve — overflowing bins, missed pickups, fuel cost, or staff productivity — and how you will measure it.
Record trips, distance, fuel, complaints and fill levels for a period before the pilot. Without a baseline, you cannot prove improvement.
Include a mix of high- and low-generation locations so results can be extrapolated.
Define requirements — battery life, connectivity, data ownership, integration — before speaking to suppliers, and make sure you own your data.
The benefit comes from dynamic schedules and routes. Plan how crews and supervisors will use the data from day one.
Compare results with the baseline, calculate full life-cycle cost, and make a clear scale, adjust or stop decision.
I design and evaluate vendor-neutral smart waste pilots. See intelligent solutions services.
Typically bin fill levels, collection trips, distance, fuel, missed pickups and complaints — compared with a baseline.
Long enough to capture normal variation — usually several weeks to a few months.
You should. Make data ownership and export rights part of the supplier agreement.
Independent consultant based in Vadodara with 40+ years of experience in waste management, arbitration, contract administration and project management across India, the GCC and Mauritius. B.E. (Civil), PG Diploma in Project Management, PG Diploma in ADR.
Speak directly with Kamlesh Parikh.
+91 93764 12497
My guides explain the rules — I can help you apply them on the ground.