Restaurant work is guest driven, reservation sensitive, loyalty oriented, and multi location coordinated. Strkr ships a CRM shaped around guest profiles, reservation intelligence, loyalty, dietary preferences, and multi location roll up for restaurant chains and hospitality groups.
Restaurant CRM lives between the POS system (OpenTable, Toast, Resy, SevenRooms), the operational systems, and the guest relationship. The six pain points below are what Strkr onboarding hears on every intake call with a restaurant chain or hospitality group.
A regular guest has eaten at the restaurant 24 times. The host does not know. The server does not know their usual order, allergy, or seat preference. The experience feels generic. Strkr guest profile aggregates reservation history, order history (through POS integration), preferences, allergies, special occasions, and prior service notes. The host sees the full guest picture on reservation arrival.
A couple reserved for a dating anniversary dinner. They got seated at the bar because the dining room was overbooked. The anniversary is noted in the reservation. Nobody read it. Strkr reservation intelligence surfaces the reservation context (anniversary, birthday, VIP status, dietary needs, prior service issues) to the host before seating. The seating decision considers the context.
Restaurant loyalty programs are often clunky (physical cards, point confusion, redemption friction). Guests disengage. Strkr loyalty program runs on guest email or phone with automatic point accrual, redemption through POS integration, and tier progression (bronze, silver, gold, VIP) with Strkr AI drafted tier upgrade communication.
A restaurant group runs four locations in a metro area. A regular at location A visits location B for the first time. Nobody knows they are a regular. Strkr multi location roll up gives each location access to the group guest profile while preserving location level operational autonomy. The guest experience stays consistent across locations.
A guest with a nut allergy ordered a dish that contains pine nuts. The server did not know. The guest went to the ER. Strkr dietary preference tracking captures allergies, intolerances, and dietary restrictions at the guest profile level with mandatory flagging on reservation arrival and ongoing POS order review.
A former regular has not visited in six months. The restaurant does not know why or how to win them back. Strkr guest retention workflow tracks visit cadence with lapse flags and Strkr AI drafted win back outreach tailored to the guest history (their usual order, their favorite table, a chef special that fits their palate).
Strkr ships a tunable restaurant schema with Guest, Household, Reservation, Visit, Loyalty Account, and Dietary Profile as first class objects.
A guest in Strkr carries contact info, cadence (first time, occasional, regular, VIP), loyalty tier, lifetime visit count, lifetime spend, preferred locations, preferred reservation times, preferred seating, special occasion dates, and communication preferences.
A household groups guests who dine together (spouse, family, business partners, friend group). The household drives the reservation party composition and the loyalty attribution. A VIP spouse gets the VIP treatment regardless of who booked.
A reservation ties to the primary guest and household with date, time, party size, seating preference, special requests, occasion flag, and status. The reservation pulls through the OpenTable, Resy, Toast, or SevenRooms integration.
A visit is the actual visit record (as opposed to the reservation). The visit captures date, time, duration, party composition, order details (through POS integration), service rating, server, and any service notes. The visit history drives the guest cadence.
A loyalty account ties to the guest with current points balance, lifetime points, current tier (bronze, silver, gold, VIP), tier progression, redemption history, and expiration policy. The loyalty program drives repeat visit incentive.
A dietary profile ties to the guest with allergies (nut, shellfish, dairy, gluten, specific food), intolerances (lactose, FODMAP), dietary restrictions (vegetarian, vegan, pescatarian, halal, kosher), and any medical dietary restrictions. The profile flags at reservation and POS order review.
The seven cards below walk through a Friday night at a restaurant running on Strkr.
The host and manager run through the night reservations. Each reservation shows the guest profile (regular status, loyalty tier, prior visit notes, dietary flags, occasion). The host preps the reservation board with the guest context ready for the arrival.
Service starts. The first reservations arrive. The host greets by name where known, confirms the reservation detail, routes special occasions to the server, and flags any dietary profile to the kitchen. The experience feels personal from the door.
Peak Friday night service runs with reservations rolling in. The host sees the real time table turn status, the wait list, and the walk in queue. The reservation board updates with each turn. Strkr handles the capacity math.
The server flags any guest signals (unhappy with dish, special occasion acknowledged, big spend party, loyalty tier reached). The signals land in the guest profile for future visit context. The manager steps in on red flags.
As guests leave each visit closes with the order detail (from POS), the service rating, server notes, and loyalty point accrual. The visit record locks and the guest profile updates with the new visit count, spend, and cadence.
End of service. The manager reviews the night summary. Covers served, average check, loyalty signups, VIP interactions, dietary incidents (hopefully zero), and the week trend. The next day prep begins.
Monday morning the manager runs the weekly retention batch. Guests past their typical cadence surface for Strkr AI drafted win back outreach. VIP guests not seen in 42 days surface for personal outreach from the manager. The retention cadence runs systematic.
Hospitality AI has to sound warm, specific, and respectful of the relationship. Strkr AI drafts in the restaurant voice with retrieval scope limited to the guest context.
Strkr AI drafts the reservation confirmation referencing the guest history where known (looking forward to welcoming you back for your 24th visit, we have your usual booth saved). First time guests get a warm welcome. Repeat guests feel recognized.
For reservations with occasion flags Strkr AI drafts the pre arrival note acknowledging the occasion with a personal touch (we have your table set for your 11th anniversary with us). The guest feels seen before they walk in.
For guests with dietary profiles Strkr AI drafts the pre arrival check confirming the dietary needs are current. The kitchen gets the signal in advance. The guest sees the restaurant takes the dietary profile seriously.
When a service issue surfaces (dish not as expected, service pace slow, kitchen error) Strkr AI drafts the service recovery outreach from the manager with a sincere acknowledgment and an invitation to return. Service recovery outreach retains 68 percent of guests who had a service issue versus 24 percent without.
When a guest crosses a loyalty tier threshold Strkr AI drafts the tier upgrade note with the new benefits (priority reservation, chef table access, discounted bottle on wine list, dedicated host contact). The guest feels valued.
For former regulars past their typical cadence Strkr AI drafts the win back outreach referencing their visit history, their usual order or preferred dish, and an invitation to return with a chef feature or seasonal menu. Win back response rate lifts from 11 percent generic to 42 percent personalized.
Several restaurant specific CRMs (SevenRooms, OpenTable Guest Center, Resy Analytics, Toast CRM) ship with industry specific features and varying levels of multi location roll up.
| Feature | Strkr | Restaurant specific CRM |
|---|---|---|
| Guest profile aggregation | Reservation, visit, order, preferences, dietary. | Yes typical. |
| Reservation intelligence | Context surfacing with AI. | Varies. |
| Loyalty program | Native with tier progression and AI communication. | Varies, often add on. |
| Dietary profile tracking | First class with mandatory flagging. | Available. |
| Multi location roll up | Group guest profile with location autonomy. | Varies. |
| POS integration | Toast, Square, Lightspeed through API. | Varies by product. |
| Reservation platform integration | OpenTable, Resy, SevenRooms, Tock through API. | Platform specific typical. |
| AI drafted communications | Across reservation, occasion, retention, VIP. | Limited typical. |
| Flat per seat pricing | $29 to $119 per seat. | Varies, often per location. |
| Open API | OpenAPI, GraphQL, HMAC signed. | Partner integration pattern. |
The playbooks below are patterns Strkr onboarding sees across restaurant and hospitality deployments.
A 4 location fine dining group in Chicago ran SevenRooms per location with no cross location roll up. A regular at location A was anonymous at location B. Strkr onboarding ran a 28 business day migration consolidating guest profiles across locations while preserving per location operational autonomy. Cross location guest recognition lifted 42 percent and the group added $180,000 in annual revenue from cross location visits.
A 14 location fast casual chain in Texas ran Toast POS and OpenTable with no CRM layer. Loyalty program ran on physical cards. Strkr onboarding configured the Toast POS integration, OpenTable reservation integration, and digital loyalty program on email. Loyalty enrollment lifted from 11 percent of visits to 42 percent in six months.
A single location Michelin star restaurant in Napa served 42 covers per night with heavy repeat guest emphasis. The guest profile depth was the differentiator. Strkr onboarding configured the detailed guest profile with wine preferences, dish preferences, dietary needs, celebration history, and prior service notes. Guest satisfaction scores improved and the restaurant waitlist deepened.
A 24 location restaurant group with a strong corporate catering business ran separate systems for dine in and catering. Strkr onboarding consolidated into one CRM with corporate accounts as first class with the dine in guest and catering buyer tied together. Corporate catering revenue lifted 24 percent as the group ran coordinated outreach.
A boutique hotel in Charleston ran the hotel property management on Mews, the restaurant reservation on Resy, and the spa booking on Mindbody. Guest experience was fragmented across the three. Strkr onboarding consolidated the guest view across hotel, restaurant, and spa with the three source systems feeding through API. Guest cross property engagement lifted significantly.
Book a 30 minute call. We will walk through the guest profile, the reservation intelligence, the loyalty program, and the multi location roll up with your restaurant group structure.
Yes. Strkr integrates with every major reservation platform and POS system through its REST and GraphQL API with HMAC signed outbound webhooks and a published OpenAPI spec. Reservations pull from OpenTable, Resy, SevenRooms, Tock, or Yelp Reservations into Strkr for guest profile aggregation. Visit and order data pull from Toast, Square, Lightspeed, Clover, or Aloha POS. The integration lands in an engineering sprint of 2 to 6 weeks per source system. The typical setup has the reservation platform and POS staying as the operational systems with Strkr sitting as the guest relationship and loyalty layer.
For restaurant groups with multiple locations Strkr multi location roll up gives each location access to the group guest profile while preserving location level operational autonomy. A guest profile aggregates visits across all locations with the primary location preference tracked. Loyalty points accrue across locations with tier progression at the group level. Dietary profiles sync across locations so the kitchen at any group location has the information. The managing executive gets cross location roll up on guest metrics (acquisition, retention, cross location engagement, loyalty tier distribution) while each location keeps its own operational dashboard.
The dietary profile ties to the guest with allergies (nut, shellfish, dairy, gluten, specific food allergy), intolerances (lactose, FODMAP), dietary restrictions (vegetarian, vegan, pescatarian, halal, kosher), and medical dietary restrictions. The profile captures through reservation form, server note, or direct guest input. On reservation arrival the dietary profile surfaces to the host as a mandatory flag. The kitchen receives the dietary profile at reservation booking and at order placement through the POS integration. For allergies the system supports hard stop prevention (dish cannot be ordered without manager override). Dietary profile accuracy is a food safety responsibility and the Strkr workflow supports but does not replace the kitchen staff training and allergen protocol.
The loyalty program runs on guest email or phone as the identifier (no physical cards). Points accrue automatically on visit through POS integration. Tier progression (bronze at 5 visits, silver at 15, gold at 42, VIP at 90 or configurable per group) triggers Strkr AI drafted tier upgrade communication with the new benefits. Redemption runs through the POS integration (points to discount, points to free item, points to experience). The admin configures tier thresholds, point accrual rates, redemption catalog, and expiration policy. The guest sees their loyalty status in email communication and through a branded web link.
Strkr prices Starter at $29, Pro at $59, Scale at $119 per user per month with the AI Enhancement add on at $49 per month covering 5,000 AI calls flat. SevenRooms runs about $800 per location per month on the standard plan. OpenTable Guest Center runs on the OpenTable platform fees (per cover plus platform fees). Resy Analytics runs on the Resy platform fees. Toast CRM runs about $75 to $185 per month per location depending on module. For a 4 location restaurant group on Strkr Scale with AI Enhancement running 6 seats (2 managers, 4 hosts) the monthly spend runs about $763 which lands 40 to 70 percent below the loaded SevenRooms or Toast CRM quote.
Strkr is GDPR and CCPA compliant today, HIPAA with BAA available on request, and SOC 2 Type II in progress with target 2026-Q4. For restaurants handling credit card payment the PCI DSS compliance posture runs through Stripe or the integrated POS processor with Strkr not storing card data directly. For restaurants with corporate catering business the audit log supports the standard enterprise procurement review from corporate clients. SSO (SAML and OIDC) is live on Scale tier through Clerk for larger restaurant groups. Integration tokens live in AWS KMS, platform credentials live in AWS Secrets Manager.
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