Missed-call capture
Use SavorQ Voice as a phone-order lane for busy service windows, missed-call fallback, or after-hours enquiry capture.
Capabilities
SavorQ brings POS-facing workflows, online demand, marketplace intake, SavorQ Voice, KDS execution, inventory context, payments, reporting, webhooks, multi-store control, and AI insight into one profit-aware product system.
"Chicken tikka, no nuts, collect at 7."
Voice and delivery orders after 7pm show lower contribution. Review menu modifiers and fee profiles before the weekend rush.
Product system
SavorQ keeps capture, execution, measurement, and integration capabilities connected to the same operating model, so teams avoid stitching together disconnected tools for digital channels, phone orders, kitchen flow, and profit review.
SavorQ Voice
Capture the phone channel with configurable routing, transcript review, menu and modifier parsing, allergen context, kitchen handoff, and reporting without presenting a separate product to operators.
Use SavorQ Voice as a phone-order lane for busy service windows, missed-call fallback, or after-hours enquiry capture.
AI-assisted transcript review maps callers to items, modifiers, sizes, dietary notes, and special instructions before the order moves forward.
Managers can review captured phone orders, unresolved details, and allergen context instead of trusting unverified notes.
Approved phone orders become canonical SavorQ orders and can move into the same KDS workflow as POS, web, and marketplace demand.
Support AI-first, human-first fallback, and business-hours-aware phone flows as the operator chooses for each location.
Phone order volume, correction patterns, channel mix, and review outcomes stay attached to reporting and AI intelligence.
Capture demand
Counter and in-store order capture.
Pickup and delivery storefront workflows.
Delivery-channel orders normalized into one queue.
AI-assisted phone order capture with routing modes, transcript review, menu-aware parsing, queue sync, and operator review.
Run operations
Station routing, prep state, and kitchen handoff.
Items, modifiers, pricing, SKUs, and availability.
Stock visibility and order-linked consumption.
Staff, stores, settings, and operational controls.
Measure and extend
Payment records, refunds, and settlement context.
Sales, hourly, channel, payment, and margin views.
Fee and COGS-aware profitability reporting.
Outbound events for tenant integrations.
Tenant and store scoping for restaurant groups.
Operator-reviewed insight surfaces built on outcomes.
Exception signals for operational review.
Roles, API keys, tenancy, and audit-aware access.
AI profit orchestration
SavorQ AI is presented as decision support for operators: explainable signals, recommendation queues, and manager review instead of silent automation.
Detect margin leakage across orders, channels, modifiers, refunds, delivery fees, and COGS so managers know what deserves review.
Capture phone demand with transcript review, menu-aware parsing, allergen flags, modifier matching, and manager correction before kitchen handoff.
Compare POS, owned online, marketplace, and phone demand by contribution, refund pressure, fee profile, prep burden, and COGS context.
Recommend price, modifier, bundle, and item reviews using order mix, food cost, refunds, and contribution signal.
Predict service pressure and station bottlenecks from KDS timing, channel mix, order size, menu complexity, and rush patterns.
Detect repeat refund causes, missing-item patterns, late-order risk, marketplace disputes, and operational exceptions for review.
Help managers ask why margin moved, which channel hurt contribution, and what should be reviewed before the next rush.
Compare locations by channel performance, prep time, refund rate, menu margin, phone-order conversion, and review patterns.
Connect menu demand to stock pressure, waste risk, ingredient cost drift, and purchasing alerts that operators can review.
Turn AI findings into explainable recommendations for owner or manager approval instead of silent operational changes.
Capability fit
The capability set is most compelling when it maps to real operating pressure: delivery-heavy demand, phone-heavy service, multi-site control, and channel margin pressure.
Bring marketplace orders, owned online demand, phone calls, modifiers, and prep pressure into one reviewable operating layer.
Use SavorQ Voice to capture missed calls, caller intent, menu detail, allergen context, and review state without treating voice as a separate product.
Standardize order controls, routing modes, reporting, channel economics, and access patterns while preserving store-level context.
Review channels, refunds, COGS, modifier pricing, and payment mix together so revenue is not mistaken for contribution.
How it fits
Start by mapping POS, online ordering, marketplace, SavorQ Voice, payment, and reporting flows into the SavorQ operating model.
Set the human review points for voice orders, allergen context, unclear modifiers, refunds, and AI-assisted recommendations.
Use KDS and order state workflows so accepted demand moves from channel intake to kitchen execution with fewer manual gaps.
Attach fees, COGS, refunds, payments, and channel context to the operating record for owner and manager review.
Trust and control
Recommendations and voice-order corrections are queued for review instead of being presented as unsupervised decisions.
Transcript, parsed order detail, modifier choices, allergen context, and handoff state remain visible before operational reliance.
Order state, refund context, role controls, and store scoping support safer operating review across teams and locations.
Marketing and demo language stay grounded in product capabilities, real review controls, and clearly supported operating workflows.
Demo