XPndAI builds AI systems for pharmaceutical companies — AI field force management, HCP engagement automation, medical representative AI copilot, pharma commercial operations AI, and secondary sales analytics for stockists and chemists. Fixed price. Built for India's pharma commercial model. From ₹10L.
Indian pharma companies run some of the largest field forces in the world — often 200 to 2,000+ medical representatives covering hundreds of thousands of doctors, chemists, and stockists. Managing this at scale, with real-time data, compliant reporting, and intelligent HCP engagement, is a problem that generic DMS tools don't solve.
MR opens WhatsApp each morning → AI sends optimised daily call plan (which doctors to visit, in what sequence, based on HCP priority, last visit date, and geography). After each doctor visit: MR sends quick WhatsApp update → AI auto-generates call report (DCR) → manager dashboard updated in real time. End-of-day report auto-compiled. MR spends zero time on manual DPR.
Doctor database with AI-generated engagement scores. HCP segmented by prescription potential, current prescribing behaviour, last contact date, and product affinity. AI recommends: which doctors are ripe for re-engagement, which need sample reinforcement, which are at risk of competitor switch. CME/event attendee follow-up automated. Share-of-voice by product tracked across territory.
Chemists order via WhatsApp — no app needed. AI captures order, checks stockist inventory, confirms. Secondary sales data flows to dashboard in real time. Chemist purchase pattern analysis by product/territory. Stockist inventory intelligence: which products approaching stockout, which are overstocked. Expiry alerts automated.
Sample issuance to MRs tracked digitally. Each sample distributed to a doctor logged with doctor name, date, quantity, product. AI flags: MR with zero sample distribution despite active territory, anomalous sample consumption, sample stock imbalance between territories. FIFO and expiry management for sample inventory.
NSM/RSM/ZSM real-time mobile dashboard: territory-wise coverage, HCP engagement scores, primary and secondary sales, scheme compliance, sample utilisation, competitor activity. Drill-down from national → regional → territory → individual MR. AI-generated weekly territory health report sent to managers automatically.
MR can ask the AI: "Which doctors haven't been visited in 30+ days in my territory?" "What's my coverage against STP this month?" "Which chemists near me haven't ordered Product X in 2 weeks?" The AI knows the MR's territory, HCP base, product list, and performance metrics — and gives instant answers via WhatsApp conversation.
| Company Type | Primary Use Case | Key AI Modules | Typical Budget |
|---|---|---|---|
| Formulation company (India market) | MR field force + HCP engagement + stockist secondary sales | Field Force + HCP Platform + Secondary Sales AI | ₹10L–₹35L |
| Generic pharma (domestic) | Chemist coverage + retailer secondary sales + sample management | Secondary Sales AI + Sample AI + Dashboard | ₹8L–₹20L |
| OTC/consumer pharma | Distributor management + chemist ordering + promotional compliance | Distribution OS + Scheme Management | ₹10L–₹25L |
| API/bulk drugs (B2B) | Export customer management + inquiry handling + RFQ automation | AI Sales Agent + RFQ Automation | ₹6L–₹15L |
| Contract pharma (CDMO) | Client inquiry management + project milestones + compliance docs | AI CRM + Document AI | ₹8L–₹20L |
| Multi-division pharma | Multi-brand field force + HCP segmentation + national dashboard | Full Commercial Operations AI Suite | ₹35L–₹1Cr+ |
XPndAI Pharma AI is built with Indian pharma compliance in mind. Sample distribution logs maintain full audit trail per CDSCO guidelines. Schedule H drug sales logged with chemist details and quantity. Pharmacovigilance inputs structured for easy ADR reporting. All field data stored on India-based servers with role-based access control. HCP data maintained with consent management for DPDP Act compliance.
This is the right question. App-based DMS tools have a well-documented adoption problem in Indian pharma field forces — MRs don't want another app, login, or data plan drain. XPndAI Pharma AI is built on WhatsApp because every MR already uses it. No new app, no login, no training on a new interface.
The field interaction is designed to be faster than current manual methods: a structured WhatsApp conversation after each doctor visit takes 2–3 minutes and auto-generates the full DCR. MRs who previously spent 3–4 hours/day on manual DPR find the new system genuinely easier. Typical adoption in the first month: 75–90% of the field force, significantly higher than traditional CLM/DMS rollouts.
XPndAI Pharma AI handles HCP data with role-based access control — only authorised users (territory managers, RSMs) can see doctor-level data for their territory. Data is stored on India-based infrastructure. We implement consent management for any direct digital communication with HCPs. The system does not send unsolicited digital communications to doctors — all doctor engagement is field-rep mediated, in line with NMC and pharma industry guidelines on HCP communication.
Yes. XPndAI Pharma AI can integrate with or replace existing CLM/SFA tools including Veeva (read API), Salesforce Health Cloud, custom SFA, or SAP CRM. Integration approach depends on your current system: we either build a full replacement, or add the AI intelligence layer and WhatsApp interface on top of your existing SFA, feeding data bi-directionally. Integration scoping is included in the initial audit phase at no additional cost.
Two methods: (1) Chemist WhatsApp ordering — the chemist sends orders to the stockist's AI-connected WhatsApp number, which captures secondary sales data automatically. (2) MR outlet visit — when the MR visits a chemist, the AI prompts them to log current stock levels and recent purchases from the stockist. Most pharma clients use method 1 for primary stockists and method 2 for chemist-level secondary capture. Real-time chemist level data is achievable within 4–6 weeks of rollout.
Share your MR headcount, geography, and key pain point (field reporting, HCP coverage, secondary sales visibility). We'll show you a working pharma AI demo tuned to your commercial model.
Fixed price · Source code ownership · 8–16 weeks · India pharma specialists · Delhi NCR