B2Metric for Food & Beverage
B2Metric's Predictive CDP joins POS, app, delivery and loyalty data into one guest profile, predicts who is about to lapse, and lets AI agents send the right offer on the right channel before they do.
Guest #48 213
App · In-store POS · Delivery · Loyalty
Next best offer · AI Decisioning Studio
Free wings with any lunch menu ordered in the app
WhatsApp · tomorrow 11:20 · nearest branch
Trusted by food, retail, telecom and finance brands
Read the Hungry Birds story →Food & beverage reference
Born in Istanbul in 2021, Hungry Birds serves crispy chicken, wings and burgers from a central kitchen to branches in Türkiye, Saudi Arabia and Iraq, alongside online ordering. As the chain expands through franchising, B2Metric's Predictive CDP gives it one view of every guest across branches and online orders.
Designed to inspire loyalty
Whether guests order at the counter, through a delivery app or pick a product off the shelf, B2Metric builds the profile that tells you what they will want next.
QSR & restaurant chains
Merge in-store POS and online orders to tailor offers by branch, daypart and menu preference.
Coffee & bakery chains
Spot when a regular's visit rhythm slips and react within hours, not at month-end.
FMCG & D2C food brands
Combine D2C, loyalty and campaign data to personalize launches and refill reminders.
How it works
B2Metric is an Agentic Growth Platform with a Predictive CDP at its core. Every guest moves through the same four-step loop, and AI agents keep it running around the clock.
POS tickets, app and web orders, delivery-platform orders, loyalty and call center data land in one real-time guest profile.
Every guest is scored for lapse risk, lifetime value, next order date and Next Best Offer. Scores refresh as habits change.
The right menu item and incentive for each guest, sent on WhatsApp, push, SMS, email or in-app at the hour they usually order.
Orders are attributed to each journey against a control group, and the results feed the next prediction.
"Which branches lost their weekday lunch regulars this month?" With Askasky.ai, your team asks in plain language and gets the answer and the segment, not a ticket number.
Agentic Growth Platform + Predictive CDP
Predictive CDP
Connect POS transactions, app and web events, delivery-platform orders, loyalty and CRM records into one resolved guest profile that updates in real time.
B2Metric AI · ChurnShield
Machine-learning models trained on your own order history score every guest for lapse risk, lifetime value and expected next-order date.
AI Decisioning Studio
An AI agent picks the menu item, incentive and timing most likely to bring each guest back, within your margin and campaign rules.
Flowly · Journey Orchestration
Trigger journeys from live events such as an order, a missed visit or a booking, and send confirmations instantly.
SignalOne · Web & Mobile Attribution
Server-side, first-party tracking connects ad spend and CRM messages to real orders, in-app and in-store.
Askasky.ai · AI-Driven BI
Branch managers and marketers ask questions in Turkish, English or Arabic and get answers, charts and next steps without waiting on the BI team.
Use cases
The plays F&B brands launch first. Each one goes live on your current channels and is measured against a control group from day one.
| # | Use case | Trigger | What happens | Powered by |
|---|---|---|---|---|
| 01 | First order to second | New guest places a first order | Welcome journey and a second-order incentive matched to what they ordered, timed to their predicted next order | Flowly, B2Metric AI |
| 02 | Habit-break alert | Gap since last order exceeds twice the guest's own cadence | Personal save offer before the guest lapses; high-LTV guests get a richer incentive | ChurnShield, AI Decisioning Studio |
| 03 | Delivery app to direct | Guest orders through an aggregator | Invite to your own app with a first in-app order benefit, cutting commission cost | Data Platform, Flowly |
| 04 | Daypart cross-sell | Lunch-only regular | Dinner or late-night menu offer at the hour they are most likely to order | AI Decisioning Studio |
| 05 | Basket builder | Item added in app without sides or drinks | Menu-aware add-on suggestion, filtered by branch availability | AI Decisioning Studio |
| 06 | Real-time order confirmations | Order placed or table booked | Instant WhatsApp confirmation and ready-for-pickup message | Flowly |
| 07 | Geo-targeted branch campaigns | New branch opens or a branch has spare capacity | Offer to guests who live or order near that branch | Flowly, Data Platform |
| 08 | Smarter discounting | Campaign periods and new menu launches | Discounts go only to guests who need one to order; regulars get early access instead | B2Metric AI, AI Decisioning Studio |
Proven in production
+45%
Predictive LTV and Next Best Offer turn one-time guests into regulars.
+75%
Personalized journeys sent at each guest's most active hour.
35%+
At Türk Telekom, with B2Metric in production for 6+ years.
40%
Up to this much with SignalOne Web & Mobile Attribution.
Every result is reported as incremental lift against a control group, so the number on your dashboard is revenue you would not have made otherwise.
Seamless integration
Tickets, branch, menu item and payment data.
Ordering app and web events plus aggregator order feeds.
Members, points, tiers, coupons and call center history.
WhatsApp, push, SMS, email, Meta and Google audiences.
A customer data platform that joins POS, app, delivery, loyalty and service data into one profile per guest. A predictive CDP like B2Metric also forecasts what each guest will do next and triggers the right action automatically.
Yes. Aggregator order feeds are matched to app, POS and loyalty records by phone number and other identifiers, so guests who order through several channels appear as one person.
No. B2Metric is composable: it runs on top of your existing POS, ordering platform and warehouse, and sends audiences to the tools you already use.
Most F&B brands start with first-to-second order journeys and habit-break alerts. Both use data you already have and show measurable lift within weeks.
A pilot with two use cases goes live in about 8 weeks: data connection, profile and model setup, live journeys, then a lift report and a scale-up plan.
See how B2Metric would run on your own POS, app and delivery data. In a 30-minute demo we map your top three use cases and the lift you can expect.
