Route-level SLA
On-time delivery for every route and branch against its target, with conditional formatting marking the routes that need attention.
TURBOARD brings TMS, branch, scanning and ERP data into one governed model, so operations teams see SLA, delays, returns and courier productivity by branch and route as the data refreshes.
In parcel and courier networks, branch-level on-time delivery, route load, re-delivery cost and courier productivity are tracked in different systems and formats. Before a critical decision, an operations manager pulls figures from the TMS, then branch reports, then spreadsheets — and by the time the morning meeting sees them, an SLA drop on a hub route has already turned into customer complaints.
TURBOARD unifies these sources in one analytical platform. On-time delivery, delay, second-attempt and return rates are calculated the same way for every branch, route and courier, and refresh as scans and delivery events arrive. Operations, customer service and management share one picture of the network, and scheduled reports send each branch manager the figures for their own area.
Daily shipments, on-time delivery and average delivery time across the network, with a route performance table and a seven-day SLA trend. Watch JAS explain why one hub route has fallen below target, then break its delays down by time slot to show when extra vehicles are needed.
On-time delivery for every route and branch against its target, with conditional formatting marking the routes that need attention.
Average delay by route, branch, hub and time slot, so the bottleneck is located rather than guessed.
Re-delivery rates and costs by region, route and courier, revealing where failed deliveries concentrate.
Seven- to thirty-day performance trends and comparisons with the same days last month, to catch deterioration early.
Shipments per courier, delivery time and first-attempt success compared across branches and routes.
Branches, routes, delivery density and failed-delivery hotspots on any basemap with the GIS-S module.
Branch, route and courier data sit in the TMS, ERP and spreadsheets; consolidation takes hours.
TMS, branch systems and ERP feed one governed model, so every team works from the same figures.
SLA drops are spotted in operations meetings that run on yesterday’s spreadsheet.
Dashboards refresh with the data, and scheduled reports put the latest route performance in each manager’s inbox every morning.
Nobody can say in which region, route or courier re-delivery costs concentrate.
Return rate and cost are broken down by region, route and courier to find the root cause.
Which route needs an extra vehicle in which time slot is decided from experience.
Volume and delay by time slot and route show where capacity falls short, and ANA-S models can project demand.
JAS, the AI assistant built into TURBOARD, answers from the same governed network model your dashboards use. Ask in plain language and she joins the relevant data, builds the chart and explains which branch, hub or time slot drove the change. JAS Explain writes an interpretation of any dashboard, tailored to an operations manager or an executive.
Explore JAS capabilities →We will connect a sample of your shipment and delivery data and show how TURBOARD and JAS track SLA, delays and returns by branch and route.