Loman
Loman answers restaurant phone calls 24/7 using a voice agent that takes pickup and delivery orders, processes credit card payments during the call, and syncs completed orders to POS systems including Toast, Square, Clover, SpotOn, Shift4, Aloha by NCR, Olo, and Stream. The Premium plan adds automated reservation handling via OpenTable, a dynamic upsell engine that suggests items contextually during calls, and smart guest memory for returning callers. The Starter plan supports up to 50 simultaneous calls with automatic menu updates and outbound SMS. Loman is designed for restaurant operators, multi-location groups, franchise brands, and pizza and fast-casual chains where phone volume exceeds what staff can reliably cover.
Loman is an AI voice agent, integrating with Toast, SpotOn, OpenTable and Clover. InnovaAI rates it 4.6 of 10 for agency resale.
Agency Audit
Loman is a voice AI agent that handles restaurant phone calls 24/7, taking orders, processing payments, and syncing directly to POS systems like Toast, SpotOn, and Square. Agencies serving multi-location restaurant groups or franchise brands can resell Loman as a retainer service to capture missed calls and reduce labor costs. The model works best for operators already using compatible POS platforms; agencies should expect to handle client onboarding and POS configuration as part of the engagement.
4.6/10
Depends on volume
2d 1 to 2 days
- Your clients are multi-location restaurant operators or franchise brands using Toast, SpotOn, or Square POS systems.
- You want to offer a 24/7 call-handling retainer that captures orders and reservations without hiring additional staff.
- Your clients experience significant missed-call volume during peak hours and need proof of incremental revenue impact.
- Your clients use legacy POS systems not listed in Loman's integrations (Aloha by NCR, Clover, Olo, Stream are the full set).
- You need a white-label solution where client-facing dashboards and reports show your agency branding instead of Loman's.
- You require transparent, tiered pricing to forecast per-client margins; Loman's custom pricing model makes MRR prediction difficult.
Profit Path
Contact for quote
$600–$1.5K/project
Setup Fee
From 242 published agency rates in the United States, 25th to 75th percentile times 20 h of assumed delivery time. Rates are self-reported directory profiles, not observed transactions.
Platform Features
Core capabilities of Loman
24/7 Inbound Call Handling
Loman answers every restaurant phone call at any hour, handling up to 50 simultaneous calls, which eliminates the missed-call problem during dinner rushes, holidays, and overnight hours without adding headcount.
POS-Synced Order Taking
Pickup and delivery orders taken over the phone push directly into Toast, Square, Clover, SpotOn, Shift4, Aloha by NCR, Olo, and Stream, removing manual re-entry and keeping kitchen tickets accurate.
Secure Phone Payment Processing
Loman collects and processes credit card payments during the call on the Premium plan, so restaurants capture paid orders without requiring a separate online checkout step.
Automated Reservation Booking
The Premium plan handles phone reservation requests and syncs with OpenTable, allowing restaurants to accept bookings after hours without a host or reservationist on the line.
Dynamic Upsell Engine
Loman suggests contextually relevant menu items and combos during calls, a feature the Premium plan surfaces as a dedicated upsell engine that can increase average order value without staff training.
Smart Guest Memory
The Premium plan retains caller history so Loman can recognize returning guests and personalize interactions, which supports repeat-order efficiency for high-frequency customers at pizza and fast-casual locations.
What Makes Loman Different
Unique advantages vs similar tools in this niche
Deep POS integration for restaurant-specific order and payment sync
vs Generic voice AI platforms that require manual order entryLoman integrates natively with Toast, Square, SpotOn, Clover, and others to sync orders and payments automatically.
Restaurant-specific AI trained on menu and policies
vs General-purpose voice assistants that lack domain knowledgeLoman knows your menu, hours, and policies, answering questions with total accuracy and handling upselling.
Proven revenue impact with customer testimonials
vs Untested AI solutionsCustomers report capturing 75-100 extra orders per month per store and increasing revenue by $5,000/month.
Value Equation
Outcome-likelihood-time-effort assessment for Loman
Value math requires real pricing
The Value Equation (dream outcome × likelihood ÷ time × effort) feeds directly into ROI math. Loman has no published pricing, so we hold this section until real numbers are available.
Contact LomanPricing
Platform cost for Loman
Custom pricing
Loman uses custom/enterprise pricing: rates aren't published publicly. Contact their team directly for a quote.
Contact LomanMarket Intelligence
Offer + scale economics for Loman
Offer economics require real pricing
Offer economics, scale projections, and margin potential all depend on Loman's actual platform cost. Once pricing is published or shared with your agency, we'll compute the full breakdown here.
Contact LomanInvestment Decision Framework
Strategic vetting analysis for Loman
Situational Fit
Fit depends on your client mix
Buy If
4Your clients experience significant missed-call volume during peak hours and need proof of incremental revenue impact.
Your clients are multi-location restaurant operators or franchise brands using Toast, SpotOn, or Square POS systems.
You want to offer a 24/7 call-handling retainer that captures orders and reservations without hiring additional staff.
You can manage POS integration setup and menu synchronization as part of client onboarding.
Skip If
4Your clients use legacy POS systems not listed in Loman's integrations (Aloha by NCR, Clover, Olo, Stream are the full set).
You need a white-label solution where client-facing dashboards and reports show your agency branding instead of Loman's.
You require transparent, tiered pricing to forecast per-client margins; Loman's custom pricing model makes MRR prediction difficult.
Your clients operate in verticals outside restaurants, pizza chains, or fast-casual food service.
Bottom Line
Loman is a voice AI agent that handles restaurant phone calls 24/7, taking orders, processing payments, and syncing directly to POS systems like Toast, SpotOn, and Square. Agencies serving multi-location restaurant groups or franchise brands can resell Loman as a retainer service to capture missed calls and reduce labor costs. The model works best for operators already using compatible POS platforms; agencies should expect to handle client onboarding and POS configuration as part of the engagement.
Reality Check
Loman pricing is custom and requires direct vendor negotiation per client account, making it difficult to establish predictable per-client MRR margins. Agencies cannot white-label the platform, so client-facing dashboards and call recordings display the Loman brand, limiting positioning as a proprietary agency service.
Low effort: self-service setup with guided onboarding
Academy for Loman
Work through it in order: the course for this service first, then the modules behind it.
No Academy modules are published for this service yet. Browse the full Academy
Why this category matters
The commercial case before the tooling.
Core concepts
The mental model you need to price and scope the work.
- Residual Labor LedgerConcept
Residual Labor Ledger is a costing discipline: before pricing an AI voice agent retainer, count the human work that survives deployment. Every voice deployment leaves a tail of tasks (transcript review, escalation handling, consent logging, prompt repair after a bad call) and that tail, not the per-minute rate, decides whether the retainer holds margin. The framework asks agencies to log four numbers per client: calls handled without touch, escalations per 100 calls, minutes of human review per call, and cost per resolved call. Trillet's audit-trail design and identity verification reduce the review tail in regulated verticals, while Goodcall-style self-serve builds shift more repair work onto the agency. Forrester's 2027 predictions warn that AI budgets face P&L scrutiny rather than pilot credit, so a retainer priced on usage cost alone will look profitable in month one and thin by month six. Price after the ledger, not before.
- Escalation Fidelity ThresholdConcept
Escalation fidelity is the share of calls an AI voice agent routes to the right human, with the right context, at the right moment. It is the number that decides whether an agency voice retainer survives renewal, because a booking agent that handles 80 percent of calls but dumps the remaining 20 percent into a queue without caller history creates more client complaints than a missed call ever did. Measure it before pricing: pull 50 real call recordings, tag every handoff, and count how often the agent recognized the trigger (billing dispute, clinical question, angry caller) and passed a usable summary. Trillet's identity verification and audit trail exist precisely because regulated clients treat a mis-routed handoff as a compliance event, while Goodcall-style inbound capture leans on CRM sync to make the transfer legible. Agencies that quote a flat monthly fee before running this test are pricing blind.
- Consent Surface MappingConcept
Consent Surface Mapping treats every call recording, transcript, and outbound dial as a regulated artifact before it is a product feature. The framework asks agencies to chart three surfaces per client: what callers are told at the start of a call, what the voice system stores afterward, and which jurisdictions the calls touch. Each surface caps what the agent is allowed to do, so scope decisions follow disclosure rules rather than the reverse. This matters because voice deployments fail audits on recording consent and outbound dialing rules far more often than on latency or voice quality. A concrete case: Trillet verifies caller identity to compliance standards and keeps a full audit trail, which suits healthcare and legal retainers where an unlogged action is itself the liability. Agencies that map consent first can price a retainer against a defined scope; those that skip it discover the ceiling after the client's counsel reads the call flow.
Decision and risk
How to judge the fit, and the ways it goes wrong.
- Voice Agent Rule: Price the Retained Labor Before the RetainerEvaluation Rule
Do not quote a retainer until you have scored 50 to 100 real call recordings for escalation accuracy, latency, and post-call human minutes, then priced the labor that remains.
- Voice Agent Rule: Audit Escalation Accuracy on Real Calls Before Any Client RetainerEvaluation Rule
Run at least 50 real client call recordings through the candidate agent and measure escalation accuracy, latency, and consent handling before you quote a retainer.
- AI Voice Agent Decision: Metered Build vs Managed ResaleDecision Framework
IF a client's call volume, after-hours miss rate, and handoff rules can be measured from real recordings, THEN build a metered voice agent on conversational infrastructure and bill per resolved call. IF those inputs are unknown or the client cannot staff escalation review, THEN resell a managed white-label receptionist on a flat retainer and absorb the usage risk.
- Why AI Voice Agents Stall at the Handoff in Agency DeliveryFailure Pattern
- The Demo-Call Trap: Why AI Voice Agent Retainers Break on Real Call VolumeFailure Pattern
Delivery system
Blueprints and procedures for running it as a service.
- Missed-Call Recovery Voice Agent Offer (10-14 days)Implementation Blueprint
A productized engagement that deploys an AI voice agent to recover missed inbound calls, book appointments, and route escalations for service-business clients, priced only after real call samples and handoff rules are measured.
- Voice Agent Pilot Gate (Onboarding)Operating Procedure
- Call Sample Review Board (QA)Operating Procedure
- Missed-Call Recovery Handoff (Handoff)Operating Procedure
13 modules selected for Loman
Frequently Asked Questions
Answers about pricing, setup, implementation, and more
Loman is a voice agent that answers restaurant phone calls 24/7, takes pickup and delivery orders, processes credit card payments on the call, handles reservation requests, and answers questions about menus, allergens, hours, and directions. Orders and payments sync natively to POS systems including Toast, Square, Clover, and SpotOn. Calls that require human judgment are routed to staff via automated transfer.
Loman prices by quote; its rates are not published, so ask their team for one.
No verified white-label program is documented in available product information. Client-facing interactions and dashboard surfaces appear under the Loman brand. Agencies interested in a reseller or partner arrangement should contact Loman through the Partners page, but a branded or custom-domain offering is not confirmed.
Yes, Loman lists native integrations with both Toast and SpotOn, along with Square, Clover, Shift4, Aloha by NCR, Olo, OpenTable, and Stream. These are presented as direct POS integrations rather than Zapier-based connections, with orders and payments syncing into the POS in real time.
Loman's homepage offers a demo call that connects in under 30 seconds using a restaurant's existing menu, which suggests menu ingestion is largely automated. Full production setup, including POS integration and payment configuration, is not given a specific timeline in available documentation, so agencies should confirm onboarding duration with Loman's team during the sales process.
Loman is purpose-built for food-service operators. The strongest fits are multi-location restaurant groups that need consistent phone coverage across sites, franchise brands with standardized menus, and pizza or fast-casual chains where phone order volume is high. Single-location independent restaurants with unpredictable staffing, like the Nick's Place example where the owner left for Halloween, are also a documented use case.
Yes, Loman explicitly targets multi-location restaurant groups and franchise brands. The dashboard shown in product materials supports per-location views with separate call logs, order histories, and revenue tracking, which allows an agency or operator to monitor performance across locations from a single interface.
Loman routes edge cases and unhappy callers to human staff via automated call transfer, which is included in the Starter plan. This means the AI handles routine volume while escalating situations that require judgment, reducing the risk of a poor customer experience on difficult calls.