Logistics Sales Force Automation Software for Malaysian Business

Each role works from its own screen on the same cloud app. Drivers and riders run a daily manifest with drop-sequence, COD, and POD capture. Technicians and field engineers run a skill-matched service ticket queue with diagnostic checklists, parts consumption, and customer sign-off. Dispatchers and hub supervisors work from a live map control-room console with re-allocation and overtime authorisation. Same backend, but the workflows, KPIs, and dashboards differ by role.

Drivers and riders lock to the depot or hub gate at shift start with selfie AI validation against the registered field operator. Technicians lock to the first customer site of the day. Where mobile signal drops on a delivery run or service call, the offline-first app captures the timestamp, GPS coordinates, and selfie locally and syncs when signal returns. Shift-roster compliance, late-start alerts, and proxy detection feed into the supervisor dashboard automatically.

Manifest building runs against vehicle capacity, drop time windows, COD collection caps per run, dangerous goods routing rules, and return-to-hub cut-off. The algorithm sequences drops to minimise distance while respecting customer time-window commitments and grouping COD-heavy stops to manage cash risk. When a delivery fails or a customer reschedules, dynamic re-routing recomputes the remaining sequence in seconds, and drivers see the updated route on the next screen tap.

Each service job carries skill tags, equipment tags, parts requirement, and SLA tier. The dispatcher console matches the job to the right technician based on certification status, current load, proximity, and on-shift availability. Auto-assign rules can run for standard jobs while priority or VIP-customer tickets route through manual review. Customers get an ETA message with technician name and contact, and the SLA clock visibly counts down on the dispatcher map until acknowledgement, on-site arrival, and closure.

At each drop the rider or driver captures the recipient signature on the screen, a photo of the parcel at the doorstep or with the recipient, the COD amount collected, and exception notes if the customer was not available. For B2B deliveries the system also captures the e-AWB reference, gate-pass timestamp, and warehouse-acknowledgement scan. Every POD record carries GPS coordinates and a precise timestamp so disputes about delivery time or location resolve from the audit trail rather than a phone call.

Every job carries an SLA tier with response-time and resolution-time targets. Stage transitions from job creation to acknowledgement to en-route to on-site to closure each carry a timestamp recorded automatically as the technician or rider taps through the workflow. The system fires breach-risk alerts when a stage approaches its target, and reverse-RAG dashboards highlight jobs at risk so dispatchers can re-allocate before the breach lands. Closure cannot happen until POD or service report is attached.

Yes. The platform supports direct-hire crews, contract technicians, gig riders, franchise hub operators, and 3PL partner organisations on the same backend with role-segregated screens. Each partner sees only their own crew and jobs. Centralised SLA scoring, productivity ratios, and incentive computation cover the full operations network. Activity logs, POD records, and timesheet exports follow the formats accepted by partner finance teams so reconciliation happens cleanly at the end of the cycle.

Drivers, riders, and technicians submit expense claims through the cloud app with configurable heads for fuel, toll, parking, customer-side material purchases, and emergency callout charges. Receipts upload from the camera and OCR captures the merchant, amount, and date. GPS-tagged distance calculation supports kilometre-based reimbursement for self-vehicle crews. Multi-level approvals route to hub supervisor, operations head, and finance with automation for policy compliance and ageing.

Hub supervisors see live attendance, run progress, SLA risk, and exception queues. Operations leaders see hub-wise on-time delivery rate, first-time-fix rate, NPS, route productivity, technician utilisation, and exception trend. Finance sees expense run-rate against budget, payout exposure for gig riders and contract crews, and DuitNow reconciliation status. The 1Voice AI assistant answers natural-language questions like "show three depots with the worst on-time delivery this week" without a custom report.

Yes. The mobile app is offline-first. On rural last-mile routes, line-haul lay-overs, depot interiors, and customer-site basements where signal drops, drivers, riders, and technicians can capture attendance, drop sequence updates, POD records, photos, signatures, COD amounts, and service notes without an active connection. The data sync engine queues everything on the device with a timestamp and pushes to the cloud when signal returns, so no proof-of-delivery or service report is lost between the field and the operations dashboard.