Pharma & Healthcare
Platforms for distribution networks and patient-facing operations
Pharmacy and distributor loyalty on one side, patient scheduling and engagement on the other. Two operations that break differently, built on platforms we already run.
What is wrong today
What is broken in pharma distribution and patient scheduling today
Two different operations break in two different ways. On the distribution side, pharmacy and distributor loyalty is tracked by hand, partners cannot see where they stand, and commission disputes outlast the commissions. On the provider side, the call center, front desk and website each work from their own schedule, and reminders depend on someone having time.
For distribution we configure Channel Loyalty & Engagement, where the point is the return path: the sales signal coming back from the partner, not only the incentive going out. A global pharmaceutical company runs this across its pharmacy network. For providers and life sciences organizations, our Healthcare & Life Sciences platform carries one schedule, automated reminders and trial data monitoring.
-
Pharmacy loyalty is tracked by hand
A spreadsheet of purchases, a monthly calculation of who qualifies, a payment run, and a statement the pharmacy cannot reconcile against its own records.
-
Neither side can see where a partner stands
Pharmacies have no live view of their rewards. The brand has no live view of which partners are producing.
-
Commission disputes outlast the commissions
Disputes take longer than the amounts are worth, and compliance sits on whoever maintains the spreadsheet.
-
Three channels, three versions of the schedule
The call center sees one schedule, the front desk another, and the website, if it takes bookings at all, a third.
-
Reminders happen only if someone has time
No-shows leave slots empty, while the patient who wanted that slot could not get through on the phone.
-
Trial sites fall behind before anyone notices
Enrollment, visit completion and outstanding queries are tracked site by site, so a lagging site shows up late.
How it runs once fixed
How a pharmacy purchase turns into a reward, and who handles each step
- Automated
- Person decides
- AI under rules
- AI + human review
- Pharmacy purchase data
- Distributor sales feeds
- Reward and tier rules
- Statement matches payout
- Live partner standing
- Sales signal returned
- Campaign response report
Unify partner profiles
Transactions, campaign responses, tier status and support history are joined into one profile per pharmacy or distributor, whichever channel the data came through.
Rule-based and automatic, logged in the audit trail.
Calculate rewards
Rewards are calculated as transactions arrive, against volume thresholds, product mix, milestone events and tier progression. Tier movements and commissions within policy apply automatically.
Rule-based and automatic, logged in the audit trail.
Approve exceptions
A commission that exceeds policy stops for a person to approve. Everything else pays from the same rules the partner portal reads, so the statement and the payout are one number.
A person makes this call. The system gives them the context.
Score engagement
Behavioral scoring separates a pharmacy that stopped ordering a line from one that never stocked it. Each flag carries a readable rule, not an unexplained score.
AI runs within agreed thresholds; anything outside them goes to a person.
Run targeted campaigns
The program team picks a template and sets audience, offer, channel, duration and budget cap. The platform selects the audience from profiles, delivers it and reports response by segment.
AI does the work, a named person reviews or signs off before it counts.
Partner conversation
When a pharmacy's engagement score falls, the conversation stays with your team. The platform surfaces who to call and why, and the next offer adjusts to what came back.
A person makes this call. The system gives them the context.
Where AI helps
Where AI removes the bottleneck, and where people stay in charge
-
Finding which pharmacies are drifting before sales drop
What AI does: Behavioral scoring reads ordering patterns per pharmacy and flags the one that stopped ordering a line separately from the one that never stocked it, with the rule behind each flag.
What a person decides: Your partner team decides who to call and what to say. The platform surfaces the list; it does not contact the partner.
-
The same generic offer sent to every partner
What AI does: Engagement scores select the audience for each campaign and match the offer to what each partner actually bought, then report response by segment.
What a person decides: The program team sets offer, channel, duration and budget cap, and approves any commission that exceeds policy.
-
Slots left empty by late cancellations
What AI does: Scheduling optimization, using ML where the booking history supports it, fills gaps, and automated reminders go out through each patient's preferred channel.
What a person decides: Clinical decisions, exceptions the rules did not anticipate and any conversation that needs a human voice stay with staff.
-
Spotting trial sites that are falling behind
What AI does: Trial data monitoring tracks enrollment, visit completion and data quality across sites and flags the sites that are behind and the queries still outstanding.
What a person decides: Study managers decide how to intervene with a site and resolve each data query. The dashboard shows where to look.
What we fix
What we fix and build for pharma and healthcare
-
Channel loyalty and reward governance
Real-time reward tracking against configured rules, automated commission calculation within policy, tier and milestone engines, and a portal where the pharmacy sees the number finance pays.
-
Campaign management for partner networks
Templates with audience, offer, channel, duration and budget cap, personalized offers driven by behavioral scoring, and response reported by segment.
-
Multi-channel patient scheduling
One schedule written to by web, mobile and call center, with an engine that knows each site's capacity, each clinician's availability and the rules for each appointment type.
-
Patient engagement and reminders
Confirmations, reminders, pre-visit instructions and follow-up through the patient's preferred channel, with a centralized patient record so every desk sees the same thing.
-
Clinical and trial data platforms
Trial data monitoring and progress tracking for life sciences organizations and CROs, with LSHCS integration and clinical and operational reporting.
Platforms
What already exists for this sector.
Channel Loyalty & Engagement
Rewards, commissions and campaign management for partner and customer networks
Healthcare & Life Sciences
Patient engagement, scheduling and trial data platforms
Proof
The engagements behind this page.
How a global pharmaceutical company increased pharmacy partner engagement by 35%
increased pharmacy collaboration
How a global healthcare organization increased appointment bookings by 40%
increase in daily bookings
FAQ
Pharma & Healthcare: common questions.
How do you stop commission disputes with pharmacy partners?
We start with the three commission questions partners argue about most, trace how each is calculated today, write down the differences and configure the rules once. After that, the partner portal and the finance payout read the same rules, so the statement and the payment are one number. A commission that exceeds policy stops for a person to approve.
How long does a loyalty or scheduling platform take to go live?
Channel Loyalty & Engagement is typically configured and live in 3–5 weeks, and Healthcare & Life Sciences in 4–6 weeks, because both engines are already built. The work is configuring your reward structures and tier logic, or your care pathways, site structure and compliance requirements. Access to the systems holding your sales or patient data needs to be in place early.
Does AI make clinical or scheduling decisions?
It makes no clinical decisions. Scheduling optimization uses ML only where the booking history supports it, to fill gaps and reduce slots left empty by late cancellations, and the engine offers only slots that fit the pathway rules. Clinical decisions, exceptions the rules did not anticipate and any communication that needs a human voice stay with staff working from one patient record.
Where does a scheduling engagement usually start?
With the schedule itself. We map every channel that writes to it and every rule that governs it, then bring web, mobile and call center onto one engine. A global healthcare organization replaced its scheduling across all three channels in a 12 month fixed-cost engagement, starting with the call center because that is where the staff who knew the old system were.