ZANUS AI FOR CONSUMER GOODS — OVERVIEW
Retailer and distributor calls answered every hour they come — stock, pricing, reorders. Consumer questions answered from approved spec sheets, never from guesswork. One AI system for the shelf side and the plant side of your brand — isolated in YOUR private tenant, or fully on-premises.
Private tenant or your own server · unlimited users · FDA-labeling-conscious wording

A real deployment view: retailer records, scheduled scorecard recaps, order and promo work in flight.
The 7:45 AM call about pallet availability, the route driver’s reorder, the regional chain asking case pricing — answered 24/7 on your menu and voices, escalated to your key-account managers by your rules.
The website chat answers ingredient and allergen questions from your approved spec sheets — no source, no claim. “Gluten-free” is only said where your own documents say it.
Lot records, COAs and retailer compliance guides live in cited libraries — when the traceability question comes, the answer takes minutes, with the documents attached.
Buyers, distributors, wholesalers and consumers all call the same brand — and every unanswered ring is a reorder that slips or a stockist who moves on. The Zanus front office answers on your menu, quotes wholesale from real catalog prices, and books new-stockist inquiries into your sales calendars.


Monday 7 AM: the retailer scorecard recap is drafted, chargebacks flagged, fill-rate dips explained — before the trade team pours coffee. Spec sheets, SDS, promo calendars and planograms become a system that answers back, with sources cited.
Food and beverage producers and household-goods makers with proprietary formulations run the identical OS on Zanus hardware inside their walls: air-gap capable, USB updates, unlimited users — recipes and cost sheets physically incapable of leaving.

No — the claim guard is architectural: if a statement is not in your approved library, the AI does not make it. Labeling and marketing language stays FDA-labeling-conscious because answers come only from documents your QA and regulatory people loaded and ranked.
Yes. Distributor reps, retail buyers and consumers each get answers scoped to their audience: wholesale pricing for verified accounts, retail information for shoppers — by rules you set once.
One tenant with workgroups per brand or business unit, or separate tenants — each brand’s specs, price lists and retailer records visible only to its own team.
ZANUS AI FOR CONSUMER GOODS — FRONT OFFICE
Distributors call at route-start, buyers call before category reviews, consumers call about ingredients — and your sales team cannot be on three phones. The Zanus front office answers on your menu, in your voices, quotes, books and follows up — 24/7, in up to 40 languages.
Private tenant or your own server · unlimited users · FDA-labeling-conscious wording

Calls, chats, quotes and bookings — one dashboard your sales ops manager can read.
Route drivers and distributor reps call in waves at week-start. The AI answers each in one ring, captures SKUs, quantities and delivery windows, and sends the confirmation — no hold queue, no lost order.
A prospective stockist asks case pricing on your top three SKUs: the AI quotes from your real catalog, applies your wholesale terms, and sends a payable link — the order can close before a rep would have called back.
“Does it contain sesame?” — answered from your approved allergen declaration, identically every time, in the caller’s language. No improvised claims, ever.
A regional chain’s category buyer fills the stockist form at 9 PM. The AI answers in minutes with your approved line sheet information, asks your qualifying questions — store count, region, category — and books the fit-check call straight into your account manager’s real calendar.


Website chat grounded in your approved specs answers where-to-buy, ingredient and usage questions like your best brand ambassador; web forms for wholesale accounts are worked in minutes — inquiry-to-stockist in days, not voicemail weeks.
It answers from the sources you connect and the rules you set — bring your ERP or order-management system to the demo and we map exactly what the AI may quote and to whom.
Yes. Your numbers stay; calls route to the AI first, staff first, or any mix per line and per hour — the consumer line and the distributor line can behave differently.
Your rules: named accounts, order sizes or keywords trigger immediate transfer to the assigned account manager, with the transcript attached.
ZANUS AI FOR CONSUMER GOODS — BACK OFFICE
Product specs, ingredient and nutrition data, SDS, retailer compliance guides, vendor scorecards, trade-promotion calendars, seasonal planograms: CPG is documentation with a shelf attached. The Zanus back office turns that archive into a working AI staff — drafting, reconciling and answering with sources cited, under your team’s sign-off.
Private tenant or your own server · unlimited users · FDA-labeling-conscious wording

A real view: orders, retailer records and scheduled recap work — the trade desk in one screen.
Weekly scorecard recaps, monthly promo reconciliations, out-of-stock reviews — assigned to the AI like to a junior analyst, executed on schedule, fully auditable.
Each chain’s routing guide, labeling requirements and chargeback rules become a system the whole team can query — with the source page one click away.
Every AI-drafted recap, letter or reconciliation lands in Output awaiting review. Nothing reaches a retailer without your trade team’s decision.
Every chain scores you differently — fill rate here, OTIF there, chargebacks everywhere. The AI reads each scorecard as it arrives, drafts the recap with the misses explained and the disputed chargebacks listed, and cites the compliance guide clause behind each penalty.


“Which SKUs are on promo at the co-op chain in November?” “What did the spring planogram give us in facings?” Answered in seconds from the trade-promotion calendar and planogram library — instead of a dig through the shared drive.
No — your ERP and order-management system stay the system of record. The AI reads, reconciles and drafts; writes back only through mapped connectors with dry-run preview and your approval.
Yes — scorecards, routing guides and promo forms in any format, including scans, flow through the ingestion pipeline into queryable libraries, priority-ordered so current versions rule.
YOU MIGHT ALSO LIKE
Front Office AI picks up every call and chat — books, quotes, follows up, 24/7 in 40 languages. Watch it run a business like yours, live.
ZANUS AI FOR CONSUMER GOODS — SPECS & SDS
Spec sheets, ingredient statements, nutrition panels, allergen declarations, SDS, COAs, retailer routing guides — loaded into curated libraries the AI reads from. Ask in plain language; get the answer with the source cited, at the permission level of whoever asks.
Private tenant or your own server · unlimited users · FDA-labeling-conscious wording

Libraries: current specs outrank drafts, this year’s routing guide outranks last year’s — you set the order.
PDFs, scanned COAs, retailer portals’ exports, label artwork images — the ingestion pipeline turns what the brand receives into queryable knowledge.
No source in your library, no claim: the AI cites the spec revision, the SDS section, the routing-guide clause — or says it cannot answer.
Customer service asks about allergens; R&D asks about the formulation: each gets answers scoped to their role, enforced server-side.
“Which SKUs contain lot 4471 of the sunflower lecithin?” “Which distributors received them, and when?” The archive answers in seconds with COAs and shipment records attached — the difference between a controlled afternoon and a very bad week.

Only roles you authorize. Permissions reach the field level and the server redacts what a user cannot see — customer service quotes the allergen statement without ever seeing the recipe.
Never. Your tenant is isolated; your formulations and cost sheets are yours alone — and the on-premises option keeps them physically inside your building.
ZANUS AI FOR CONSUMER GOODS — AI WORKFORCE
Assign work to the AI the way you assign it to staff: type, sources, deadline, recurrence. Scorecard recaps, promo reconciliations, fill-rate reviews — executed on schedule, with citations, under review.
Private tenant or your own server · unlimited users · FDA-labeling-conscious wording

Four steps: work type, records and libraries, tags, schedule — the AI takes it from there.
Scorecard recap, promo reconciliation, chargeback review, new-item setup draft: work types molded to your brand, with default libraries and examples per type.
The AI’s workload is managed like the team’s: one-click views show what is urgent, late, today and tomorrow — the category-review prep never slips silently.
Every work is a full session: reasoning streamed, sources cited, milestones tracked, linked to the retailer record and the calendar.
Set “Weekly Retailer Scorecard Recap” once: every Monday the AI reads the week’s scorecards and order data, drafts the recap with fill-rate dips explained and chargebacks flagged for dispute, and files it for the trade manager’s review before the 9 AM call.

Yes — open any session, read the reasoning, redirect it, or stop it. The AI works like staff: visible, accountable, interruptible.
It does not get tired: reset week, holiday promo season, trade-show follow-up — the constraint is your review capacity, not the AI’s.
ZANUS AI FOR CONSUMER GOODS — QA & RECALLS
HACCP plans, sanitation SOPs, supplier-approval procedures, mock-recall playbooks: they only protect the brand if people can find them — the current version, fast. In Zanus they are living documents: answerable in chat, attached to work, priority-ordered so the latest revision always wins.
Private tenant or your own server · unlimited users · FDA-labeling-conscious wording

QA upkeep, scheduled like production: mock-recall drills and COA expiry checks on the calendar.
Allergen-control procedures, line-changeover checklists, supplier requirements, recall trees: one library, current versions on top, superseded drafts outranked.
“What is the hold procedure for a failed metal-detector check?” — answered in seconds with the SOP attached, on second shift as reliably as first.
Work types carry their default procedures: the AI drafting a mock-recall summary reads from the recall playbook — by construction.
Assign “Quarterly Mock-Recall Drill Summary” once: the AI traces a sample lot through COAs, production records and shipment data, drafts the traceability report with times and gaps noted, and files it for QA sign-off — so the real one, if it comes, is practiced.

Upload the new revision, set it on top: from that moment every answer and every AI work cites the new procedure. Old versions remain archived for audit.
ZANUS AI FOR CONSUMER GOODS — TEAM TRAINING
Seasonal warehouse hires, new sales reps, a customer-service desk that turns over yearly — consumer goods runs on people who just started. New hires learn your products and procedures from the AI, and everyone has an assistant that answers “how do we…?” instantly.
Private tenant or your own server · unlimited users · FDA-labeling-conscious wording

Training lives inside the software: the AI walks each hire through the brand’s own procedures.
A new sales rep learns the line sheet, wholesale terms, MOQ rules and top-account histories through guided training — selling in days, not weeks.
“How do I process a distributor return?” — asked to the assistant, answered from the SOP with the form attached, without pulling the ops manager off a truck.
Private chats work on any device with a login — the how-to knowledge follows the second-shift lead to the warehouse floor.

The tenth “which pallet configuration does the big-box chain require?” gets the same patient, cited answer as the first — straight from that chain’s routing guide. Training stays current automatically, because the assistant reads the same living libraries as everything else.
No — the assistant answers from the live libraries. Update the spec or the routing guide once and every future answer updates with it.
ZANUS AI FOR CONSUMER GOODS — AUTOMATIONS
Describe the job in plain words — “when an order confirmation lands, file it to the retailer record and flag quantity mismatches” — and it becomes connected blocks on a canvas, running on its own, with every run visible.
Private tenant or your own server · unlimited users · FDA-labeling-conscious wording

A real flow: inbox trigger, record sources, AI compile, three outputs — drawn from a description.
Order confirmations from the inbox filed to the right retailer record, quantities checked against the quote, mismatches flagged before they become chargebacks.
Supplier COAs routed to the supplier record on arrival, lot numbers extracted, expiry dates tracked — no more hunting certificates during an audit.
A price-list update triggers drafted notification letters per distributor — correct terms, correct effective dates — queued for your approval before anything sends.
Run states live on the flow: green success, red failure on the exact block. A silently unacknowledged order becomes a fine on next month’s scorecard — here, nothing fails silently.

Your rules: queue everything for human approval, or auto-send only the categories you designate as safe — order acknowledgments yes, price letters never.
ZANUS AI FOR CONSUMER GOODS — RETAILER OUTREACH
New-SKU launch announcements, seasonal program invitations, reactivation of accounts that stopped ordering, sell sheets to prospective stockists — drafted by the AI from your own records, in trade language, queued for your approval. A trade-marketing team’s output, without the head-count.
Private tenant or your own server · unlimited users · FDA-labeling-conscious wording

Campaigns and sequences drafted from the records — launches, reactivations, seasonal programs — awaiting approval.
Ordered-last-year-not-this-year, carries-SKU-A-not-SKU-B, region-by-region: audiences built from your own customer categories — no exporting lists to a third-party tool.
A launch sequence for domestic chains and the same program for export distributors — each written the way that buyer reads, in their language, with your brand’s voice.
Opt-outs and contact preferences are enforced by the system, not by memory. Every send is on the record.
The audience, the content and the sending live in the same system as your account records — nothing leaves your tenant to reach a mailing platform. “Invite every account that carried last year’s seasonal line to this year’s program” becomes a drafted, scheduled sequence in minutes.


Every outbound trade communication lands in the approval queue unless you designate the category as auto-send. Claims in outreach copy follow the same guard as everywhere else: no source in your library, no claim in the email.
Yes — same module, same guard: consumer campaigns draw only on approved claims and spec language, and your marketing lead approves before anything ships.
It surfaces them by your criteria and drafts the reactivation sequence; whether sends are automatic or approval-gated is your call, per category.
ZANUS AI FOR CONSUMER GOODS — ERP & EDI
Your ERP, order-management and EDI setup stay the system of record. Zanus becomes the system of work: connectors sync accounts, orders and documents both ways, the intake pipeline files what arrives, and AI-drafted recaps and letters flow back where they belong. No rip and replace.
Private tenant or your own server · unlimited users · FDA-labeling-conscious wording

No rip and replace: the ERP, the order flow and the EDI mailbox stay — the AI layer connects to all of them.
Accounts, orders and documents mapped field by field, with a dry-run preview before anything writes — push, pull or two-way, your choice.
Confirmations, ASNs and invoice documents flowing through your EDI process route through the intake pipeline to the right retailer record — and the AI can draft the exception follow-ups.
A full API for whatever else the brand runs: demand-planning tools, retailer portals, warehouse systems — data in, results out, under scoped keys.
The order lives in the ERP, the chargeback in the retailer portal export, the routing rule in the compliance guide — and the AI reads across all of it. “What is open with this chain?” becomes one question with one grounded answer.


The dispute letter the AI drafted, the scorecard recap, the price-change notice: finished documents return to the account record through the same connectors — reviewed and approved by your trade team first.
Connectors are mapped per deployment — bring your ERP and your EDI setup to the demo and we walk through the exact integration path for your systems.
No. The connectors run inside your tenant — or inside your building on the on-premises option. Data moves directly between your systems.
ZANUS AI FOR CONSUMER GOODS — COMPLIANCE
A wrong claim on a label costs recalls; a slow traceability answer costs worse. The architecture answers both: no source, no claim on every consumer-facing word, cited lot traceability in minutes, permissions to the field level, and a fully on-premises option for the formulations.
Private tenant or your own server · unlimited users · FDA-labeling-conscious wording

One record per user: role, tags, and granular permissions over every domain of the system.
Ingredient, nutrition and claim language comes only from documents your regulatory people approved and ranked — the AI cannot say what your library does not.
Lots, COAs, shipments and the questions asked about them live on a searchable audit trail — who saw what, who changed what, when.
Five-level workgroups separate brands, business units and co-pack partners; the on-premises option puts formulations on hardware you own, air-gap capable.
When the question comes — from a retailer’s QA team, an auditor or your own regulatory counsel — the answer is a search away: spec revision history, COA records, who approved which claim language, all in one place.

The architecture is built to support your obligations: approved-source-only answers, audit trail, redaction, on-premises custody. Regulatory specifics are reviewed with your team during onboarding — bring your regulatory or QA lead to the demo.
Yes — workgroups and field-level permissions let a co-pack partner see the specs and schedules for their lines and nothing else, enforced server-side.
ZANUS AI FOR CONSUMER GOODS — LIVE DEMO
Big vendors show industry demos as videos behind a form. Ours is the product itself, configured for consumer goods: open the chat below-right and try it — ask for case pricing, an ingredient answer, or how it would draft your retailer scorecard recap.
The conversation you have with us IS the demo

This screen is watching demos like yours happen: live conversations, outcomes, first response in seconds.
Ask the chat: “I run twelve stores — what would a starter order look like?” — watch it qualify, quote and offer the sales call like your best rep on their best day.
Ask: “how would you draft the Monday scorecard recap?” — it walks the workflow it would run in your tenant, grounded, cited, sign-off included.
The full demo loads a consumer-goods tenant with sample records: scorecard recaps, spec answers, a mock-recall trace — your world, working.
Every link below is a full live-demo page for that specific business — its vocabulary, its calls, its booking rules.
Request the demo and the interactive consumer-goods demo arrives in about two minutes — no sales call, no calendar dance. Watch it, interrupt it with questions, and book the human conversation when YOU are ready.

Yes — the same AI, configured with a sample consumer-goods tenant. What you see is what your team gets, with your specs and accounts instead of the samples.
Sharing with a colleague? 📄 Get the PDF · ✉️ Email this page ·