Pharma & Healthcare Sales Force Automation Software for Malaysian Business

Each doctor sits in a registered clinic record with specialty, importance class (A/B/C), and brand priority mapping. Call cycle planning runs frequencies per class (weekly for A, fortnightly for B, monthly for C). The MR's daily call plan rolls up from brand priorities and the call cycle. Missed calls flag automatically and re-schedule against the next available window.

Each clinic carries its registered geo-coordinates. When the MR opens the call, the app verifies GPS location against the clinic geo-fence. A selfie is captured and AI compares it against the registered MR record to stop proxy visits. Call duration, doctor specialty, prescription patterns, and next-call commitments all get logged at the call rather than at end of day from memory.

The MR opens the brand's e-detailing deck on the tablet. The deck is the latest version, pushed through the cloud rather than WhatsApp. Slide-by-slide engagement is tracked: which slides the doctor lingered on, which got skipped. Brand teams see aggregate engagement analytics so they can iterate the deck based on real doctor response across the panel.

At the call, the MR captures sample handover with SKU, quantity, batch number, expiry date, doctor name, and digital signature. Sample inventory tracks against the MR's depot allocation. Discrepancies, near-expiry samples, and unaccounted sample stock flag automatically. The audit trail is retrievable per MR, per doctor, or per batch for NPRA, MOH, or internal compliance review.

DCR fields fill in at the call inside the mobile app: prescription pattern observed, doctor questions raised, objections handled, samples handed over, next-call commitment. Submission happens before the MR can close out the call screen. The result is DCR data captured live and accurate, not retrofit from memory at end of day on the road.

Yes. MRs handle clinic calls and a parallel chemist coverage workflow tracks retail pharmacy visits, OTC shelf checks, and stock-on-shelf snapshots. The same MR or a dedicated chemist rep can run the chemist beat. Each interaction logs its own data set (clinical conversation for doctor visits, shelf check for chemists) on the same cloud backend.

An AI assistant called 1Voice answers natural-language queries like "show top ten doctors by call frequency this month" or "list MRs who missed A-class calls this week." AI optimises clinic-to-clinic routing within a city. Selfie AI prevents proxy attendance. Engagement patterns from e-detailing inform the next deck iteration. Automated alerts notify managers about missed calls, sample expiry, and low call adherence.

MR expense claims submit against call days with receipts attached. Multi-level approval routes through area manager, regional manager, and finance. Leave management covers Malaysian public holidays, configurable leave types, and payroll-ready exports. Call-cycle adherence reports show A-class versus B-class versus C-class call frequency per MR for performance review.

Brand managers see doctor coverage by specialty, e-detailing engagement, sample handover patterns, and prescription pattern trends across the panel. First-line managers see MR call adherence, productivity, and call quality scores. Sales leadership sees territory-wise MR performance, chemist coverage, and trade investment ledger. Drill-downs go from country to region to territory to individual MR to the actual call record.

Yes. The MR app is offline-first. Inside hospital corridors, basement clinics, and rural areas where mobile signal drops, the MR can mark attendance, run the e-detail deck, capture DCR, log sample handover, and submit expenses. Data, photos, signatures, and GPS coordinates store on the device and sync to the cloud once signal returns. Conflict handling prevents duplicate entries.