Customer management and loyalty
Know which customers are worth bringing back.
Use recorded POS history to understand customer value, visit patterns, preferred products, loyalty status and customer credit position. Focus retention work where there is a clear reason to act.
Recorded customer context
- Visit patternRecent visits and order historyRecorded
- Basket contextAverage basket and commonly ordered itemsAvailable
- PreferencesPreferred products and visit timingVisible
Review before action
- Customer healthA review signal, not a guaranteed predictionReview
- LoyaltyPoints and tier follow the configured programmeControlled
- CreditBalances and limits follow role permissionsRestricted
Connected
Keep the operating record together
Visible
Show the context that needs attention
Controlled
Respect role and branch permissions
See the product at work
See the workflow in the product.
01 / Connected history
Keep customer history connected to sales.
Review recent visits, order activity, average basket and preferred products without rebuilding the history in a separate spreadsheet.
- 01Recent visits
- 02Order activity
- 03Average basket and preferences
02 / Customer value
See customer value in AED.
Customer DNA can show lifetime value, projected value, average basket, visit frequency and segment comparison.
- 01Lifetime and projected value
- 02Average basket
- 03Visit frequency
03 / Customer health
Spot customers at risk.
Recency, frequency, spending and purchase trend contribute to a visible customer-health label. Use the status as a review signal, not a guaranteed prediction.
- 01Recency and frequency
- 02Spending trend
- 03Visible health label
04 / Win-back context
Prepare a more relevant win-back approach.
Preferred day, preferred time and commonly ordered products can support a user-led retention decision.
- 01Preferred day and time
- 02Commonly ordered products
- 03User-led decision
05 / Credit, loyalty and promotions
Keep the relationship context together without automating the decision.
Authorized staff can review balances, statements, aging, loyalty points, tiers and redemption settings. Segments and purchase behavior can support a permitted promotion workflow, while communication remains subject to consent, configuration and user control.
- 01Customer credit and loyalty context
- 02Segments and configured redemption
- 03Consent-aware user control
Connected operating workflow
From recorded activity to user-led retention
- 01
TajerGo records permitted customer and order activity.
- 02
Customer tools organize visits, spending, preferences, loyalty and credit context.
- 03
Customer DNA calculates health, value, timing and recovery priority.
- 04
The merchant chooses a permitted retention, promotion, loyalty or credit action.
Customer signals inform the decision. They do not contact the customer.
Customer DNA uses calculated rules and recorded behavior. It does not automatically contact a customer, create an offer, change a credit limit or spend a promotion budget.
Recorded behavior supplies context
Calculated signals remain reviewable
Consent controls communication
The merchant chooses the action
Does Customer DNA predict exactly who will return?+
No. It uses recorded behavior and calculated signals to support review.
Can every staff member see customer value and credit?+
No. Visibility follows role, branch and customer-data permissions.
Does TajerGo contact at-risk customers automatically?+
No. Outreach remains a separate user-led workflow with consent and configuration requirements.
Can customer signals change a credit limit?+
No. Credit limits and overrides follow their own authorized workflow.
See Customers, CRM & Loyalty in your restaurant setup
Review your workflow, branch setup, implementation scope and team needs with the TajerGo team.