Boardroom Summary

Audience: CXOs and founders running QSR, fine dining, catering, franchise groups.
Core outcomes (what moves the business):
Time savings: remove manual exports, reporting, and SOP Q&A with Craveva AI Enterprise automation.
Operational consistency: standardize execution across outlets using Craveva AI Enterprise agents + data layer.
Cost savings: reduce waste and procurement errors, automate purchasing cycles with Craveva AI Enterprise.
Sales lift: increase AOV and conversion with Craveva AI Enterprise sales agents on web/WhatsApp/kiosks.

How the platform works

Data layer: connect POS, databases, Google Drive, and APIs into a unified view inside Craveva AI Enterprise.
AI layer: agents query and act on governed data (no fragile spreadsheet workflows) in Craveva AI Enterprise.
Deployment layer: deploy agents to WhatsApp, web widget, kiosks, or internal tools with Craveva AI Enterprise.

Execution Flow (Ops + Finance + IT)

Finance sets guardrails (approval thresholds, budgets, audit trail) in Craveva AI Enterprise.
IT connects data sources once; rollout scales outlet-by-outlet via Craveva AI Enterprise multi-outlet deployment.
Leadership tracks KPI movement weekly and expands successful automations with Craveva AI Enterprise.
Ops defines workflows (ordering, inventory alerts, SOP answers, customer responses) in Craveva AI Enterprise.

Go-live Checklist

Connect data sources (POS + databases + Drive + APIs) in Craveva AI Enterprise.
Start with 2–3 agents: Procurement (cost), Sales (revenue), Analytics (visibility) in Craveva AI Enterprise.
Deploy to the workflow: WhatsApp/web/kiosk/internal portal using Craveva AI Enterprise.
Measure ROI and operational impact, then replicate across brands/outlets with Craveva AI Enterprise.

Leadership Metrics

Recipe compliance variance and portion drift
Inventory accuracy (cycle count variance) and shrinkage
Invoice mismatch rate (price/quantity) and resolution time
AOV, attach rate, and margin-weighted upsell success
Peak-hour throughput (orders/hour) and queue time
Labor hours saved (outlet + back office) and training time

Platform References

Documentation: /documentation
Models: /ai-models
Templates: /templates
Architecture: /solutions/architecture
Deployment: /solutions/deployment

Catering & Events Lead Qualification: Turn Inquiries into Booked Revenue (Craveva AI Enterprise)

For many F&B groups, catering, corporate orders, events, and group bookings are the most profitable channels.

The problem is speed and accuracy: inquiries arrive on WhatsApp, email, web forms, social, and marketplaces. Each message triggers the same manual loop—menu, headcount, dietary needs, timing, delivery radius, capacity checks, deposit rules, invoice terms—then someone hunts across spreadsheets and chats to assemble a quote.

Craveva AI Enterprise centralizes inquiry, menu, pricing, capacity, and outlet constraints into one place, then uses AI agents to qualify leads, generate quotes, and route bookings to the right outlet.

What “lead qualification” means in F&B

Qualification is not a generic CRM score. In F&B it is operational feasibility:

Can we produce this menu for this headcount at this time?
Which outlet or kitchen should fulfil it?
What is the price band and minimum order size?
What is the deposit and cancellation policy for this date?
Do we have delivery capacity and packaging stock?

If you cannot answer these quickly, you lose the booking or you accept unprofitable jobs.

The data that must be unified

Craveva AI Enterprise connects and centralizes:

Inquiry streams: WhatsApp, email, web forms, chat widgets
Menus: items, packages, allergens, lead times, availability
Pricing: tiered pricing, corporate rates, add‑ons, delivery fees
Capacity: kitchen throughput, staffing plans, production windows
Delivery: zones, cut‑offs, SLA performance, partner availability
Finance: invoice terms, deposits, credit limits, payment status

With unified data, you can automate the decision flow instead of forwarding messages around.

Agents that move the needle

1) Inquiry intake & summary agent

Turns messy messages into structured fields:

Date/time, headcount, location, budget
Menu preference and dietary needs
Delivery/pickup requirements
Urgency and decision stage

It updates a single record so anyone can pick up the conversation without context loss.

2) Feasibility & routing agent

Checks constraints in seconds:

Which outlet has capacity for that date/time
Whether the requested menu is feasible in the production window
Whether delivery SLA is realistic for the location

Then it routes to the best fulfilment outlet and proposes alternatives when constraints are tight.

3) Quote generation agent

Generates a quote that matches your rules:

Package selection + add‑ons
Minimum order thresholds
Deposits, cancellation policy, invoice terms
Lead time constraints and cut‑offs

This is where conversion improves: fast quotes with fewer mistakes.

Deployment in your existing workflow

Teams typically deploy the agents:

On WhatsApp and email replies (drafts + suggested responses)
Inside a sales/ops dashboard (routing + approval)
As a handoff layer to finance and operations

The weekly scoreboard

Track outcomes that matter:

Time‑to‑first‑response
Time‑to‑quote
Quote‑to‑booking conversion
Margin per booking (after delivery and packaging)
Rework rate (quotes corrected after ops review)

Conclusion

When your inquiry and operational constraints are unified, you can qualify and quote at the speed buyers expect—without burning your team.

Craveva AI Enterprise turns fragmented inquiry channels into a single, automated booking pipeline for catering and events.

KPIs to track

Channel conversion (WhatsApp/web/kiosk) and drop-off points
Returned goods and vendor credit recovery time
Outlet-to-outlet transfer latency and success rate
Emergency purchasing rate and root causes
Critical incidents: downtime minutes and recovery time
Labor hours saved (outlet + back office) and training time