Bugama uses AI where fleets lose the most time: calling people, following up, reading messy data and guessing where demand will be. Agents do the repetitive work; your team keeps the decisions.
Six kinds of agents, each replacing a task someone used to do by hand, every day, in a real fleet.
Calls new candidates within your calling hours, offers interview slots over the next two days, books the one they choose and updates the hiring workflow.
Calls drivers who miss the same rule on consecutive days, explains the facts of their shift and records the answer on their profile.
Reads replies by email, SMS or call transcript, decides whether the goal was met (a document sent, a slot confirmed) and moves the process on.
Turns a plain description of a process into a draft workflow with steps, forms and owners, checks it for errors and repairs it before you publish.
Reads hundreds of event listings a week, extracts venues and dates, removes duplicates across sources and places every event on the map.
Machine-learning models per city that predict demand by hexagon for the next minutes and the next 24 hours.
Bugama learns each city’s demand pattern from live platform heat maps. Every morning at 05:00 it publishes a forecast for the next 24 hours, hexagon by hexagon, plus the stretches of the day when a zone stays busy for more than 45 minutes.
Every week Bugama reads the event calendars of each city: ticketing platforms, city halls, tourism boards, venues and the local press. AI cleans the listings, finds the venue, removes duplicates and puts each event on the map with its expected exit time.
of tomorrow’s top-10 demand zones predicted correctly in Madrid
top-10 zone accuracy in Lisbon
event listings cleaned into unique events in a typical week
forecast horizon, published every morning at 05:00
Fleets deal with people’s jobs and income. We build agents that can be explained, audited and switched off.
Agents act within limits your team sets: who to contact, when, how often and when to stop.
Every call, message and decision is stored on the driver, vehicle or ticket it belongs to.
Anything unusual goes to a person. Agents remove the repetitive work, not the judgement.
Data is hosted in the EU, isolated per company, and access is controlled per user and department.
The assistant shown on this page is in preview with selected customers. The voice agents, the workflow designer, the event pipeline and the demand forecasts already run in production.
They should, and we recommend it. Each company sets the agent’s script, its calling windows (for example 09:00 to 20:00) and the moment it hands over to a person.
In Madrid, the day-ahead model gets about 80% of the next day’s top-10 demand zones right, measured over several months of out-of-sample tests. Every city is evaluated separately before it goes live.
Show us how your operation works today. In 30 minutes we will show you what Bugama would measure, automate and simplify from the first week.