Verity for pharmacies
A pharmacy’s margin is decided by what it returns in time and what it stocks against actual demand. Verity tracks both at batch level, alongside the refill patterns nobody counts.
Verity runs the shop. Prescription validity and dispensing remain your pharmacist’s responsibility.
Verity / Pharmacy
LiveSales
₹18.4 L
Expiring 90 days
₹2.8 L
Returnable now
₹1.9 L
Credit outstanding
₹4.6 L
Needs attention
Illustrative figures. Verity shows your own pharmacy in this shape.
How the business runs
The stock problem in a pharmacy is unlike other retail. Items are identified by batch, each batch carries an expiry date, and a batch that passes its date is a total loss. The only thing that makes carrying that breadth affordable is that most of it can be returned to the distributor within a window — and that window closes well before the expiry date. A pharmacy that discovers short-dated stock at expiry has already lost the money it could have recovered.
The second distinctive pressure is that much of the demand is chronic and therefore predictable. A patient on long-term medication buys the same items on roughly the same cycle. That makes them the most forecastable customers in retail and the least tracked: a chronic patient who has not returned is either well, gone elsewhere, or has stopped taking their medication, and the pharmacy knows none of the three because nobody counts refills.
The third is substitution. When an item is out of stock, the sale is either substituted or lost, and neither outcome leaves a record of the original demand. So the stocking decision that caused it never gets corrected.
The fourth is credit. Pharmacies extend credit to households and to institutions, and the exposure grows quietly against thin margins.
Verity holds the batch, its expiry and return eligibility, the refill pattern, the substitution and the credit position as one set of records.
What Verity calls these things
What gets in the way
Almost every pharmacy loss is a date that passed — a return window, an expiry, a refill, a credit term.
Return windows close before anyone looks
Stock is returnable to the distributor for a limited period that varies by supplier, and it is tracked in one person’s memory across dozens of them.
In Verity Return eligibility sits on the batch against the distributor’s terms, so returnable value and closing windows are current.
Expiry is discovered at the shelf
Short-dated stock is found during a manual check, usually after the return window has already closed.
In Verity Expiry sits on the batch, so exposure surfaces by value and counter while a return is still possible.
Chronic patients stop returning and nobody notices
A patient buying the same medication monthly for two years stops, and the pharmacy has no way of knowing.
In Verity Refill cycles are derived from purchase history, so patients past their expected refill become a list.
Out-of-stock demand leaves no record
An item is unavailable, the sale is substituted or lost, and the original demand never informs the next order.
In Verity Unfulfilled requests and substitutions are recorded, so stocking decisions are corrected by evidence.
Credit grows quietly against thin margins
Household and institutional credit accumulates without ageing, and the exposure is sized only when cash is short.
In Verity Balances age automatically on the account with the contact history attached.
Scheme support is left unclaimed
Distributor schemes and margins are claimed from purchases within windows nobody assembles in time.
In Verity Scheme terms are recorded against the purchases they apply to, so claims are built from records.
The complete system
One system across batches, expiry, refills, credit and distributors.
Inventory
Stock is held per batch with expiry, distributor, cost, schedule classification, counter and return eligibility.
Why it matters here The batch is the unit that expires and the unit that can be returned, so it is the only useful unit of stock here.
In practice One point nine lakh of returnable stock with windows closing inside thirty days, by distributor.
Orders
Transactions record their items and batches, the customer, the counter, any substitution made and any request that could not be filled.
Why it matters here Recording what could not be supplied is the only way an out-of-stock ever improves the next order.
In practice Fast-moving items out of stock at two counters, with the substitutions and lost requests counted.
Relationships
Customers are records with their purchase history, derived refill cycles, credit position and contact history.
Why it matters here Chronic demand is the most predictable revenue in retail pharmacy and the least managed.
In practice Thirty-eight regular monthly buyers past their expected refill date.
Suppliers
Suppliers are relationships with their orders, delivery reliability, return windows, scheme terms, claims and balances.
Why it matters here Return terms and scheme support are where pharmacy margin is actually decided.
In practice A scheme worth sixty-four thousand assembled from qualifying purchases before Friday.
Workflows
Credit beyond limit, returns to distributor, expiry write-offs and adjustments move through approval steps with recorded reasons.
Why it matters here These are frequent, time-bound decisions taken at a busy counter, and they decide the year.
In practice A return raised against a distributor inside its window, approved and matched to the credit note received.
People
Staff are modelled once, and every bill, substitution, credit entry and adjustment carries who made it.
Why it matters here Substitution decisions and credit entries both need attribution in a business with regulated stock.
In practice Substitutions by item and staff member, from the transactions themselves.
Records
Invoices, scheme circulars, credit notes and distributor agreements attach to the supplier or transaction they belong to.
Why it matters here Claims and returns are settled by documents that must be produced within a window.
In practice A disputed claim resolved by the circular it was raised under and the purchases it covers.
Reports and analytics
Expiry exposure and returnable value, refill adherence, substitution rates, scheme recovery, credit ageing and counter comparison come from the operational records.
Why it matters here Every important pharmacy number is date-bound, and monthly reporting arrives after the dates have passed.
In practice Returnable value with closing windows, current rather than reconstructed at a stock check.
Verity AI
Verity AI answers from your own batch, sales, customer and distributor records, respects permissions, and can create assigned follow-ups.
Why it matters here The questions worth asking are about dates and about specific customers, both laborious to look up manually.
In practice "What is returnable with windows closing this month?" returns the list by distributor, with returns raised.
Control
One permission model and one audit trail across every record.
Why it matters here Regulated stock and extended credit both need attribution on every movement.
In practice Every stock adjustment and credit extension carries the person, the reason and the time.
Locations
Locations roll into the business, with batch-level stock, permissions and reporting following the same structure.
Why it matters here Branches hold different batches with different expiry, and transfers between them are how near-expiry stock gets used.
In practice Near-expiry stock at one branch matched against demand at another.
Communication
Notes, reminders and activity attach to the customer or account they concern.
Why it matters here A refill conversation is useful only if the pharmacy knows what was already said and when.
In practice A note that a patient changed medication, so no reminder is sent for the old one.
Work in motion
These already happen. Recorded at batch level, the recoverable money becomes visible in time.
Capturing expiry and return terms at receipt is what makes recovery possible months later.
The window closes before the expiry date, which is why late discovery costs full value.
Chronic buyers are the most predictable revenue a pharmacy has, and the least followed up.
Sales data alone systematically understates demand for items you keep running out of.
Ageing from the bill date is what stops institutional credit growing unnoticed.
The records exist; assembling them by hand at the deadline is what loses the claim.
Verity AI
Verity AI reads the same batch, sales, customer and distributor records the pharmacy creates as it trades. It answers from your own shop, respects permissions, and can turn an answer into returns and follow-ups.
Verity / Ask
Verity AI only returns what the person asking has permission to see. It does not provide clinical or dispensing advice.
Without chasing
Each runs from the batch and customer records at the point the condition is met.
When
A batch approaches its return window
When
A batch approaches expiry with no return eligibility
When
A customer passes their expected refill date
When
A requested item cannot be supplied
When
A credit balance passes its terms
When
A scheme window approaches its close
What you can understand
Drawn from batch-level records the pharmacy creates as it trades.
Verity records the commercial and stock operation. Prescription validity, dispensing decisions and clinical judgement remain with the pharmacist.
One system, different ways of seeing it
Everyone works from the same records, and each opens on what they need.
Owner
What am I about to lose to a date?
Returnable value and closing windows, expiry exposure, scheme recovery, credit ageing.
Pharmacist in charge
What is short and what is expiring?
Items below cover, unfilled requests, near-expiry batches, transfers available.
Counter staff
What does this customer usually buy?
Purchase history and refill pattern, credit position, availability and substitutes.
Accounts
What is owed and what is claimable?
Credit balances and ageing, distributor payables, scheme claims outstanding, credit notes received.
Where it is used
Return eligibility on the batch against each distributor’s terms, so returnable value and closing dates are current rather than held in memory.
Expiry on the batch with value by counter, so short-dated stock surfaces while a return or transfer is still possible.
Refill cycles derived from purchase history, so regular customers who stop returning become a worked list.
Requests that could not be supplied recorded against the item, so stocking is corrected by demand rather than by sales alone.
Household and institutional balances aged from the bill date with contact history, so exposure does not grow unnoticed.
Distributor scheme terms recorded against qualifying purchases, so claims are assembled before their windows close.
Near-expiry stock at one branch matched against demand at another, so it is used rather than written off.
Plain-language questions across batches, expiry, refills and credit, with returns and follow-ups raised in the same step.
Getting there
Your billing software and distributor arrangements continue to run and are mapped during implementation. Stock is brought across at batch level with expiry where records allow, along with customers, credit balances and scheme terms.
Implementation runs about four weeks: discovery and mapping, configuration, migration, then an ongoing operations partnership.
Questions
No. Dispensing decisions, prescription validity and clinical judgement remain with your pharmacist and your existing systems. Verity runs the commercial and stock operation — batches, expiry, returns, refills, credit, distributors and reporting.
Verity AI answers questions from your own batch, sales, customer and distributor records: what is returnable now and which windows close within thirty days, what is expiring and where, which regular customers are past their expected refill, which items could not be supplied. Each answer can become a return or a follow-up.
Yes, and that is the foundation. Stock is held per batch with expiry, distributor, cost and return eligibility, because the batch is the unit that expires and the unit that can be returned.
Return eligibility sits on the batch against each distributor’s terms, so returnable value and closing windows are current. The window generally closes well before the expiry date, which is why discovering short-dated stock at a shelf check costs the full value.
Refill cycles are derived from purchase history, so customers past their expected refill become a list with contact history attached — which is the most predictable revenue in retail pharmacy and the least followed up.
Requests that could not be supplied and substitutions made are both recorded against the original item, so reordering is corrected by actual demand rather than by sales data that systematically understates items you keep running out of.
Household and institutional balances age automatically from the bill date with contact history recorded, and credit beyond an agreed limit is an approval rather than a decision taken at a busy counter.
Counters, stores and branches are locations holding their own batches, so near-expiry stock at one can be matched against demand at another and transferred rather than written off.
About four weeks: discovery and mapping of how the pharmacy trades, configuration of distributor return and scheme terms, migration of stock at batch level, then an ongoing operations partnership.
In most pharmacies it is a larger number than expected and some of it stops being returnable this month. Tell us how batches are tracked today.