Match each reward to what the customer buys, and see who deserves attention.
AI Loyalty reads purchase history to suggest which reward suits which customer and to list the customers who matter most to the business. It sits on top of the points, vouchers or membership scheme you already run. Your marketing lead reviews every suggested reward and rule change. Nothing is issued or redeemed without a person’s approval.
Most loyalty schemes treat everyone alike. The customer who buys every week gets the same voucher as the one who bought once in March. Points pile up unused, and the best customers feel no different from the rest.
Here the till, order and membership records are read together. Customers are ranked by how often and how much they buy, and rewards are suggested from what they actually pick. You approve the rules. The scheme stays yours.
The problems this is meant to ease.
What AI loyalty does.
What this looks like in a working week.
The people who open this every day.
From first conversation to daily use.
Discovery
We read how your scheme works today, including earning rules, tiers, expiry and voucher types, and list the till, billing and membership systems that hold each record. Counter staff attend as well.
Data readiness
Purchases are tied to one customer identifier, usually a phone number or card, and cards with missing or shared identifiers are listed for the store manager to correct. Thin data gives thin rankings.
Trial on one store’s records
One store or one customer group is loaded with a year of purchases and point movements, and the first ranking and reward suggestions are produced from those real records. No reward is issued yet.
Review by cashiers and the marketing manager
The marketing manager and two cashiers read the ranking and suggestions against customers they know by name, and any odd rewards or wrong groups are fixed before use. Cashiers know their regulars.
Going live
Suggestions appear at billing for the cashier, the misuse flags reach the branch manager, and every rule change is approved and dated by the marketing manager. Stores join in stages.
Reviewing afterwards
Each quarter the team compares repeat purchases, redemptions and participation with the starting baseline, retires rewards nobody picks and checks that flags led to real findings. Unused rules are dropped.
How you would know it is working.
Record where you stand before it goes live, so the change is measured against your own figures.
- Repeat purchase rate shows how many customers buy again inside a period you choose, counted from till or order records before go-live.
- Redemption rate compares points or vouchers redeemed with those issued, and the scheme’s own ledger for the last full quarter before go-live gives the baseline.
- Loyalty participation is the share of active customers who hold a card or membership and have used it, taken from membership and billing records before go-live.
- Outstanding points liability is the value of unspent balances on the books, and the baseline is the figure your accountant reports at the last month end before go-live.
- Flags reviewed and found genuine are counted each month, with the first month after go-live serving as the starting point for judging how useful the alerts are.
Where a person stays in charge.
A person approves every rule
Reward rules, point values, tier limits and expiry dates are changed only by a named person, and each change is logged with its date and the reason given. Suggestions never act alone.
Flags are not verdicts
A flag only says the pattern is unusual, and a manager looks at the billing records and speaks to staff or customer before any card is blocked. Many unusual patterns are innocent.
Purchase history is personal data
Purchase history is personal data, so opt-in status stays on each contact and the rules for using it, which differ by country, are agreed with your lawyer. Access follows staff roles.
Thin data gives thin rankings
With customers who give a different phone number each visit, rankings come out thin, and the page says when a group is too small to trust.
Accounting stays with your accountant
How unspent points appear in the books differs by country, so the software prepares the balances and your accountant decides the treatment. It gives no financial advice.
It is one part of a system, not an island.
A module earns its place by what it passes to the next one. These are the connections we set up most often.
- Point of sale billing
- Loyalty and offers
- Price lists and schemes
- Contact and account management
- Notifications
- Multi-outlet stock
Products that include it.
How we would put it in.
Questions owners ask about AI loyalty.
Do we need an existing loyalty scheme?
It helps. Suggestions are built around your points, tiers and vouchers. Without a scheme, the first step is a simple one that staff can run at billing.
Does it change point values on its own?
No. It proposes, you approve. Changes to earning rules, expiry or tiers are made by a person and recorded with the date.
What if customers give a different phone number each visit?
Then purchases cannot be joined and the rankings will be thin. Capturing one consistent identifier at billing matters more than any suggestion.
Is it useful for a single small shop?
Rarely. If you serve a few hundred regulars and know them, a stamp card does the job. It helps once repeat buyers number in the thousands.
Which data is needed to start?
You need purchases with a customer identifier, plus the points and voucher ledger and the rules of your scheme, ideally for a full year of trading. Less history gives rougher results.
What does it connect to?
It reads from your point of sale, loyalty ledger and contact records, and which of these can be connected depends on the system and the accounts you hold. We check each source first.
What should we expect on cost and workload?
Price follows the number of stores and systems joined and the state of customer identifiers. We quote once we have seen your records. Cleaning identifiers is most of the work.
Businesses that ask for this.
Modules that work with it.
Tell us how you handle AI loyalty today.
A spreadsheet, a register or another system: say which, and we will tell you plainly what is worth changing.
- No obligation
- A reply within one business day
- Your details stay private
Start with your requirements
Seven short steps that tell us what you need. An engineer reads them before getting in touch.
Share your requirements