Without Silia
- CSV exports per question
- Answers in hours or days
- Questions nobody asks now
Part of the Logistics
Answers any question about fleet operations in natural language, querying the data lake and the operational history without exporting one single CSV.
Answering a simple fleet question means opening the dashboard, filtering, exporting to CSV and building the table by hand. Answers take hours, depend on whoever can navigate the platform, and most questions simply stop being asked because of what they cost to answer.
Silia connects the Talk to Data pattern to the telemetry data lake and the per-vehicle operational history. The manager asks in natural language over chat, the agent translates it, runs a read-only query and replies with the figure, context and filtered table.
A system that gets better with every question.
Natural language queries
Translates every manager question into a query over the data lake and replies with the exact figure, context and comparison.
Unified history
Queries the operational record the suite accumulates per vehicle: shifts, classified alerts, incidents and scores in one place.
Answers with evidence
Every reply links its source data and drops the filtered table right on the board, ready to share with no manual exporting at all.
Read-only by design
Runs every single query on read-only access over the data lake: zero writes to the client's telemetry platform at any point.
Without Silia
With Silia
During every call, Silia connects live to the systems your operation runs on — updating records, triggering workflows, and confirming actions without interrupting the conversation.
Still have questions?
Classifies every new load between direct assignment and auction, notifies your best carriers by email, WhatsApp and voice, and issues the rate confirmation.
Reads the free-text notes on blocks and incidents, assigns the right category to each one and turns loose observations into a fully structured history.
Serves the client on WhatsApp or portal, identifies their load, checks status and ETA in the TMS and answers in natural language, or escalates to an operator.
Detects delivered loads missing a POD, chases the document with the client, runs escalating payment reminders and records every payment in your ERP system.
Applies payment rules by carrier tenure, ranks the daily queue by due date, recommends quickpays with calculated ROI and records every payment in SAP.
Takes an RFQ with lane, equipment and date and returns three prices in under two seconds: aggressive, balanced and high margin, with a guaranteed floor.
Consolidates the fleet's historical KPIs into a per-vehicle operational board, with efficiency trends ready to compare, prioritize and act upon every week.
Builds the weekly fleet KPI report straight from the telemetry data lake and delivers it every Monday at 6 am by email and WhatsApp on read-only access.
Contacts the driver by voice, WhatsApp or SMS each cycle, captures location and ETA, updates the load in the TMS and escalates to dispatch on no answer.
Connects with each carrier on their channel, normalizes the reports into a single milestone model, detects SLA deviations and alerts the coordinator before expiry.
Reads the operations inbox every minute, classifies each RFQ, BOL, POD or COI, extracts the fields with OCR and creates or updates the load in the TMS.
Receives quote requests on WhatsApp or email, validates them against the rate table and capacity, and responds in minutes or escalates to the exec with a proposal.
Detects compatible return loads for every truck before it heads back empty, calculates incremental margin and queues each one for one-click approval.
Crosses quote, invoice and carrier cost for every completed load, surfaces discrepancies the same day and routes each one with an owner and amount at risk.
Crosses demand against carrier coverage per lane every week, ranks gaps by dollars at risk and delivers target lists ready for the outreach agent to begin.
Monitors every active load in real time, detects ETA deviations, unscheduled stops and drivers out of contact, and ranks every incident by risk level.
Rides along with the driver on WhatsApp: logs every shift start, structures the incidents they report, filters the noise and proposes the resolution.
Classifies the hundreds of daily fleet alerts by severity, builds the prioritized board and pushes critical ones to the operator with a suggested action.
Listens to the operational WhatsApp groups, classifies each message, structures the incident with type and severity and notifies the coordinator to handle it.
Calculates a weekly risk score per vehicle through a weighted formula over the alert history, and presents the traffic light on a board and via push.
Evaluates every RFQ inside Salesforce in under five seconds: a viability score, a recommended price with its rationale and a suggested action for the rep.
Turns each day of fleet telemetry into a per-vehicle narrative, delivers it by WhatsApp and email before 6 am and answers every follow-up question in chat.
Takes coverage gaps as input, finds carrier contacts across public registries and runs outreach by email, WhatsApp and voice until they are activated.