Overview
Automated route-optimisation and proof-of-delivery pipeline: aggregates Talabat and Salla orders, generates optimised multi-stop manifests, and sends Arabic SMS delivery notifications with live tracking links. Failed-delivery rate drops from 14% to 3.1%; driver idle time falls 28%.
The challenge
Qafila's dispatch coordinators were manually allocating up to 400 daily orders across 80 drivers using WhatsApp voice notes and spreadsheets, taking three hours every morning and producing suboptimal routes that left some drivers with 6-hour days and others with 12-hour days. A 14% failed-delivery rate, largely caused by recipients not being home, was generating costly return trips. Kuwait's numbered addressing system and block-letter codes required localised geocoding logic.
The solution
Lirevon built a Google Maps-based route solver tailored for Kuwait block-parcel addressing, processing each morning's order batch in under 90 seconds to produce optimised manifests. An SMS notification sequence sends the recipient an Arabic message with a 30-minute delivery window and a live tracking URL, dramatically reducing recipient-absent failures. A proof-of-delivery photo capture and signature module feeds directly into the client's Odoo ERP for invoicing.
Outcomes
Failed-delivery rate dropped from 14% to 3.1%, saving KWD 3,200 per month in return-trip costs
Morning dispatch preparation time reduced from 3 hours to 8 minutes
Driver idle time fell 28% through balanced route allocation, reducing overtime costs
Customer satisfaction score on delivery experience improved from 3.6 to 4.7 stars
Key metrics
Tech stack
Services
Client testimonial
“We went from three hours of chaos every morning to an optimised manifest in our driver app by 7:30 AM. The SMS tracking link alone cut our failed deliveries in half.”
— أحمد البدر، مدير العمليات
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