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Industries

Couriers and deliveryLogistics and distributionHVACElevatorsWater and pool purificationIndustrial equipment
UtilitiesAppliance maintenanceMedical
devices
Home
healthcare
ITTraffic & parking control

Industries

Traffic and
parking control

FIELD
ACTIVITY
ANALYSIS

Minute-by-minute view of field activities reveals performance patterns

DETECTING IRREGULAR BEHAVIOR

Deficient-performance alerts reduce costs significantly


ROUTING OPTIMIZATION

Save time and resources by minimizing driving distances

REAL-TIME
PROBLEM
PREVENTION

react to real-time occurrences

This industry includes companies that install and maintain systems for monitoring parking lots, including video and other electronic equipment. Such companies are often hired by municipal bodies or road infrastructure companies.

It is essential for such companies to respond to real-time situations by assigning the most suitable worker who is guaranteed to provide the best service, while keeping costs to a minimum to stay competitive.

Another ongoing challenge is to continuously monitor and calculate the total cost of each project. This can be achieved through analytical data that helps pinpoint lucrative customers, while also providing a detailed report of employee performance. Hormiga presents full visibility of the field by generating a minute-by-minute analysis report of all field activities, displaying precise durations of employees traveling, working or idle, and providing managers with accurate behavior patterns and performance rates. Automatically triggered deficient-performance alerts reduce costs significantly, by signaling excessive use of resources or unusual behavior. Such alerts enable managers to react in real-time to irregular actions such as excessive travel or activities reported far away from a WO location.

Such companies benefit greatly by Hormiga’s ability to deliver year-round customer service excellence, from routine field-service calls to specialized field-technician dispatching during severe weather conditions or holiday periods with peak service demand.