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What is ETA (Estimated Time of Arrival)?

Expected Time of Arrival or Estimated Time of Arrival (ETA) is the time a transport system is expected to arrive at its destination.

Automation in deliveries can help to figure out estimated delivery times and fix any delivery delays and faults as well. Customers can be duly informed in case of any delivery delays and provided with an alternate pick-up location, drop-off time as well.

How Locus improves last-mile delivery performance

Estimated Time of Arrival (ETAs) based on dynamic on-ground conditions | Real-time communication with consumers | Track driver performance and progress | Advanced fleet tracking and insights

Related Resources

Minimize your Last Mile Logistics Delivery Complexities using Logistics Automation
Minimize your Last Mile Logistics Delivery Complexities using Logistics Automation
How Locus is managing customer-preferred time windows for its clients
How Locus is managing customer-preferred time windows for its clients
Why First Attempt Delivery Success rate is the future of retail?
Why First Attempt Delivery Success rate is the future of retail?
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Streamline your operations now!

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Schedule a meeting with Locus

How can Locus help manage your logistics?

  • Locus’ proprietary geocoding engine converts the fuzziest of the addresses into precise geographical coordinates thereby helping your on-ground executives locate addresses easily.
  • Digitize all your operational variables such as fleets, delivery persons etc. to come up with the best route plan every day.
  • Track your orders in real-time with the Locus Live Dashboard. Locus’ last-mile delivery app Locus On The Road (LOTR) helps delivery partners process orders.
  • Visualize and tweak your scheduled plans via three key metrics— geography, time, & vehicle (fleet)—with a birds-eye view of your entire operations.
  • Build your own reports and analyze important parameters that you need to make key decisions.

Join Industry Leaders:

43m+ miles

Reduction in distance traveled

18m+ tons

Reduction in GHG emissions

$200 m

Savings in logistics costs
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