AI‑driven: Enterprise embedded AI (not a generic chatbot) assists and makes real‑time decisions based on situational analysis across data, sensors, environment, and business priorities.
Data & Inventory
- Asset inventory stored in a database (units, attachments, tools, consumables).
- Parts catalogs with specs, alternates, barcodes/RFID, and audit trails.
- Import/export with CSV/ERP; history of services, notes, photos, documents.
- AI vision for inventory: with AR glasses, simply look at shelves; AI identifies SKUs and counts in real‑time.
- No AR? Text a clear photo of stock; AI recognizes parts and updates counts.
- Inventory stays in sync as items are checked out via service work orders.
AI Engine & Scheduling
- AI‑driven analysis and decisioning uses situational context (run hours, odometer, environment, faults) to maintain schedules.
- Auto‑creates work packages, assigns urgency/SLAs, and books technicians.
- Continuously re‑balances workload to night windows and minimizes downtime.
Intake & Communication
- Operator hotline (Fleet Central AI): “Unit XX heater isn’t working” or “won’t start”.
- Simple intake: leave a voice or text message — no forms or tedious reports. Include unit number and a short description of the issue.
- If urgent, press X to escalate to emergency dispatch; otherwise AI will schedule based on priority and available resources.
- AI‑driven triage transcribes, classifies urgency, and schedules maintenance or dispatches callouts.
- Operators call in hours or mileage at end of shift; AI updates schedules automatically.
Technician Assist
- AI‑surfaced procedures, torque/specs, recalls/TSBs, diagrams, training, and how‑to’s.
- Interactive Q&A with AI; step‑by‑step checklists; photo/video notes.
- Offline-first patterns and fast search for bay or field work.
Diagnostics & Integrations
- AI interfaces with OBD‑II/J1939/CAN tools to fetch/clear codes and log sensor data.
- Module programming/service resets where supported and authorized.
- Telematics (GPS, hours, fuel), VIN decoding, recall lookups, document search.
Parts & Procurement
- Approved suppliers with pricing/availability; AI can quote and place orders.
- Used parts discovery: auctions, recyclers/wreckers, secondary markets.
- Core returns, shipment tracking, and automated reconciliation.
- AI compares suppliers and pricing in real‑time, suggests alternates, and places orders on approval.
Asset Value & Finance
- AI maintains approximate asset values from condition, history, and market trends.
- TCO per km/hr, depreciation, resale timing, warranty tracking.
- Exports to accounting/billing; cost codes, parts/labour rollups.
- AI models resale/market trends and flags optimal sell/replace windows.
Wearables & AR
- OLED/AR glasses to guide techs in real‑time with overlays and voice.
- Remote expert mode; auto‑capture of steps, measurements, and defects.
- Inventory by sight: glance at stock and AI identifies & counts; prompts a closer look if something is ambiguous.
- No wearables? Snap a picture via text; AI extracts SKUs/quantities and updates inventory.
Self‑Improving UX
- Tech feedback like “this step is awkward” triggers AI to refactor workflows.
- Team‑wide improvements propagate quickly; AI tunes UI and checklists dynamically.
- Goal: remove tedious admin so people focus on revenue and efficiency.
Safety & Compliance
- Real‑time and proactive safety: analyzes past incidents and current context (weather, location, environment, chemical exposure).
- Hazard awareness: pinch/crush zones, lockout/tagout prompts, hot work checks, confined space workflows.
- PPE guidance by task: wrenching vs painting vs welding; required respirators/filters, eye/hand/hearing protection.
- Hazmat handling: batteries, oils, coolant, DEF, brake fluid; lawful storage, transport, and disposal steps.
- Safety procedures and checklists surfaced contextually with references and diagrams.
Prioritization & Delivery
- Business‑aware scheduling: meets delivery windows and customer SLAs while minimizing downtime.
- Dynamic priority: auto‑reorders work based on faults, environment, run hours, parts ETA, and technician availability.
- Progress tracking with communication to operators, dispatch, and management.
Management & Reporting
- Real-time fleet dashboard: what's down, what's in service, and what's available by unit/class.
- Availability prediction: forecasts by unit and class based on schedules, parts ETAs, technician capacity, and weather.
- Impact analysis: shows how outages affect jobs and customer delivery schedules; auto-reschedules and notifies stakeholders.
- KPIs: utilization, turnaround time, MTBF/MTTR, budget vs actual, parts lead-time trends.
- What-if scenarios and alerts for escalating risks, with recommended actions.