FRONT OFFICE AI FOR GROCERY & DRUG — THE COMPARISON

Compare us to anything a store is offered.

Grocers, pharmacy chains and convenience groups are sold one of two models: a retail suite your contact center and store associates operate, or AI agents you assemble and configure per channel. No logos needed, because the same packaging habits dominate the market. Front Office was built on three different principles — and every answer to a shopper comes from the information and data your store exposes, with pharmacist questions and food-safety reports going to a person.

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Try it free 7 days on your own business · no credit card · per company, never per seat

REAL AI - the whole Front Office is AI, not old software with an AI button. Give it your website: it learns your company, works from your approved knowledge and gets better with every answer you approve.

Live on this site right now — the assistant in the corner is the product · Award-winning AI — CES · ISE · TMCnet

Zanus Front Office dashboard — the AI at work

One dashboard doing the jobs the others only track.

Three habits of the market — three different principles here

1 · Pricing scales per seat

Across most of the market, every hire raises the software bill — the price follows your headcount, not the work getting done.

2 · The AI is often metered on top

Credits, "AI actions", per-conversation fees, usage tiers. On many platforms the AI arrives as a second bill on top of the seats.

3 · Most AI was built to assist teams

Enrich, draft, score, summarize, coach — designed to make YOUR people faster. Newer autonomous agents go further, but are typically configured per channel and priced per usage.

Front Office was designed from the start on three different principles: one integrated product, priced by plan — not by seat-math · the AI performs complete front-office workflows, not only assists them · every answer grounded in your approved knowledge, with Protection capping the spend.

The scoreboard: how each model delivers the job

Fourteen store jobs, three delivery models. The difference isn’t whether a capability exists somewhere — it’s what you must assemble, license and operate to get it. Descriptions reflect typical published product models, Aug 2026.

The job	Traditional CRM model	Agent & copilot platforms	Zanus Front Office
Answer the store line and the pharmacy line 24/7	Your desk answers, with a retail suite and contact-center tooling	Configure a voice agent, channels and usage separately	✓ Built in — store, pharmacy and holiday hours, 40 languages, nights and weekends included
Answer “do you have it, which aisle?”	An associate walks the aisle and calls back	An agent you connect to inventory and maintain per channel	✓ Grounded in the stock data you expose; no data, no claim
Settle “where is my order?”	Whoever picks up looks it up; nothing recorded	Agent invokes order actions you configure	✓ Answered in the conversation: status read, pickup window moved, confirmation sent
Fix the missing item or wrong substitution	A contact-center case, business hours	Support agents configured separately	✓ Filed complete — order, item, photo, refund rule applied — routed to the online-order lead, nights too
Take “is my prescription ready?”	The pharmacy line interrupts the pharmacist	Best effort, disclaimers apply	✓ Status only, as you authorize, after your identity check; every pharmacist question to the pharmacist
Quote the platter or the bulk order	A notepad at the deli counter, or a separate quoting module	Agent invokes processes you configure	✓ Native: from your published menu, deposit link, confirmed the day before
Book the pickup window or consultation slot	Scheduling links and a calendar your staff maintain	Agent invokes calendar actions you connect	✓ Booked inside the call — deli capacity and pharmacy clinic hours respected, calendars synced
Call back the hang-ups	Nobody has time	Possible if you build the workflow	✓ Automatic: every abandoned call is called back with your greeting
Remember the school’s standing order	A field a manager maintains	A journey you design and run	✓ Sequences you approve: reminded on schedule, a change request hands the thread to a person
Route the food-safety report or recall question	Depends on who picks up	Best effort, disclaimers apply	✓ Your rules: urgent case to the on-duty manager; the recall notice read word for word
Brief the store manager	Dashboards and analytics seats you open and read	A to-do list for associates	✓ A did-it-for-you list: overnight calls, cases and quotes, what shoppers asked for and could not find
Train the new associate or technician	Shadowing for weeks	Not the product’s job	✓ Role-play on your own procedures, a team assistant on their phone mid-shift
Call your shoppers before they call you	Reminder calls made by staff when there is time; otherwise a text	Build an outbound flow, connect telephony, meter the minutes	✓ Auto-Call: an event, a funnel or a list triggers the call; the AI announces or converses, on your rules — Hi Brandon, this is the pharmacy at Maple Street Market: your prescription is ready for pickup.
The bill	Per seat; grows with every store and hire	Per seat and/or per usage: credits, actions, conversations	✓ One plan, chosen by outcome — your shoppers are never counted or charged

Already running a big CRM suite? Read the story: the old way vs the AI way — keep the CRM, add the AI Front Office → And the chat below will compare us to any product you name, from its published pages.

Comparing something specific? Ask the Zanus AI below — it compares us to any vendor you name, point by point, from their published pages. Our plans are public: see pricing → Then do your own math →

The one question that cuts through every comparison: after you pay, who answers the shopper? With Front Office the answer is: the AI does — from the information and data your store exposes — and your associates take the handshake, your pharmacist every pharmacist question.

Questions, answered

Why don’t you name the other products?

Because the comparison is about the model, not the logo. A retail suite your contact center operates plus metered AI is the norm across the market; naming brands adds nothing. If you are evaluating a specific product, ask the chat — it compares us to any vendor you name, point by point, from their published pages.

Is this comparison fair to retail-suite vendors?

Every description of other models comes from typical published product pages, read August 2026, and describes what a store or chain must assemble, license and operate to get the job done. Where a vendor differs, the chat will show you.

Do we have to replace our POS, online-order, loyalty or pharmacy system?

No. They stay the record; the Front Office is the system of work in front of them, answering from the fields you expose. Calendars sync natively; webhooks, a read-only API and an MCP server carry cases, bookings and contacts back to whatever you run.

Try it free on your own store. 7 days. No credit card.

Give it your website. It learns your company. Then call it, chat with it, e-mail it — and decide. Nothing to install, nothing to cancel.

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