Restaurant

Restaurant chains (such as MK, Oishi, The Pizza Company) thrive on membership loyalty and high repeat visit rates. PBCP captures behavior at both the individual and branch level, enabling precise offer targeting and accurate menu analysis.

Business problems solved

Problem	How PBCP solves it
No visibility into which menu items a customer likes or how often they visit	Customer Story → order history, favorite items, visit frequency
No insight into which menu items sell well or poorly and when	Product Story → order count, revenue per item per period
Membership cardholders don't come back	Churn signal → re-engagement campaign
Birthday promotions sent too late	Intelligence → detect birthday → send offer 7 days in advance
No idea which branch is busy at which time or how much staff is needed	Branch Intelligence → occupancy pattern per hour

Story types

Customer Story

How often does this customer visit? Which branch? Favorite menu? Average spend?

Visit Story

What was ordered this visit? How many diners? How long was the table occupied?

Menu Story

How many orders for this item per week? What type of customer orders it most?

Branch Story

What time does this branch peak? Average table turnover rate

Key events

Event	Occurs when
`customer.registered`	Membership signup (app / in-branch)
`reservation.created`	Table booked in advance
`reservation.confirmed`	Reservation confirmed
`table.seated`	Seated at table (system records the time)
`order.placed`	Food ordered (first round)
`order.item_added`	Additional item ordered during the meal
`promotion.applied`	Promotion / coupon used
`bill.requested`	Bill requested
`payment.completed`	Payment made
`table.released`	Table freed, ready to be cleaned for next guests
`review.submitted`	Review submitted (app / Google)
`loyalty.points_earned`	Points earned from this visit
`loyalty.points_redeemed`	Points redeemed for a discount
`membership.upgraded`	Membership tier upgraded
`birthday.offer_sent`	Birthday privilege sent
`birthday.offer_redeemed`	Birthday privilege used
`delivery.ordered`	Delivery ordered (via app or 3rd party)
`delivery.completed`	Delivery received
`referral.made`	Friend referred to sign up for membership

Intelligence use cases

Use case	Signal	Action
Birthday campaign	Birthday in 7 days	Push: free dessert + 2x points on birthday
Lapsed member	No `table.seated` for >60 days	"We miss you" + ฿50 coupon
Weekday upsell	`table.seated` typically on weekday lunch	Offer premium set lunch
Family group	`table.seated` with >4 people on multiple consecutive visits	Offer family package
Underperforming menu	`order.item_added` below threshold	Review pricing / remove item from menu
Peak hour prediction	`table.seated` pattern per hour/day per branch	Alert staff to prepare in advance
High-value frequent diner	High LTV + visit >3 times/month	Invite to special VIP tier

Visit story timeline

reservation.created     → 10:30  (Table for 4 booked at 19:00)
  reservation.confirmed → 10:31
  table.seated          → 19:04  (Table B7, 4 diners)
  order.placed          → 19:12  (Sliced pork, shrimp, vegetables, MK broth)
  order.item_added      → 19:45  (Chicken eggs x2, noodles)
  promotion.applied     → 19:58  (Gold member: 10% discount)
  bill.requested        → 20:15
  payment.completed     → 20:18  (฿1,240 after discount)
  table.released        → 20:22
  loyalty.points_earned → 20:18  (+62 points)
  review.submitted      → 20:35  (★★★★☆)

Table duration: 78 minutes | Spend per head: ฿310

Branch intelligence

PBCP summarizes branch-level patterns for the ops team:

Central Westgate Branch — This week:
  Peak: Sat–Sun 18:00–20:00  (avg 94% occupancy)
  Slowest: Tue–Wed 14:00–16:00  (avg 18% occupancy)
  Avg table duration: 72 minutes
  Top menu: Sliced pork, fresh shrimp, fish balls
  Lapsed members within 5 km radius: 842 people  ← target for mid-week campaign

Full event catalog →

Hotel Agriculture