IndustryF&B SaaS / Coffee chain / AI-Native

NiMCoffee

One cup of coffee, eight AI agents — ordering, supply chain, and operations all orchestrated by an Agent core.

About this page

The NiMCoffee system is fully built and has passed 30+ end-to-end tests. www.nimcoffee.com is currently being prepared for launch — contact us for a sandbox account or a private-deployment plan.

What the agent takes off people's plates

Core capabilities

01

AI-Native core

The AI Agent is the business core, not an add-on. Function Calling + Agentic Workflow orchestrate every backend service; any operation can be completed by talking, with the GUI only assisting visualization.

02

Butler 8-role self-evolution

A Director coordinates Analytics / Marketing / Content / Customer-Service plus Conversation-Coach / Knowledge-Curator / Search-Optimizer. Daily 23:00 feedback mining, 03:30 hallucination scan, weekly 23:30 rule decay — all AI-driven.

03

Hybrid Fast-Path

Local product cache + slim tool set + keyword fast paths. 30/30 scenarios passing, average 3,068 tokens per turn, 92% token reduction vs. pure-LLM routing.

04

6 scenes · 33 tools

Scene-scoped tool sets: general / ordering / support / knowledge / management / channel-bot. Tools are dynamically pruned by role and scene — store managers see 33, channel bots read-only 15.

05

Multi-surface

Web (Nuxt SSR) + store mini-program (uni-app) + product mini-program + channel bots (WeChat OA / WeCom, AES-encrypted). The store mini-program has its own chat session and isolates manager vs. customer views.

06

Kill-switch & pricing guard

Base pricing is owner-only; AI marketing can move within ±20%, single coupon ≤¥50, daily budget ≤¥300, auto-refund ≤¥30 × 5/day. All pricing paths share a single `pricing_guard` validator (13 pytest tests). One-click kill-switch disables AI rules instantly.

Quantified before / after

Measured impact

Owner / CEO
BeforeWait for the manager to send a monthly report — read it on the 5th
AfterAI daily report auto-generated 6:00 AM; ask anything from mobile any time
Store manager
BeforeManual stock count + Excel consumption tracking
AfterAI flags anomalies, deduplicates synonyms (milk / fresh milk / whole milk → fresh milk), warns 3 days before expiry
Marketing owner
BeforeIssue coupons by gut feel without knowing the actual lift
AfterAI Marketing builds coupons within ±20%, reviews same-day, failed rules auto-decay
Customer service
Before"What's available today?" "Can I have it iced?" — 100× a day
AfterChannel bot answers via 15 read-only tools, escalates the rest — humans focus on complaints
Engineering team
BeforeFestival promo push = code change + redeploy + canary
AfterOwner speaks the intent in natural language → AI Marketing proposes within guardrails → one-click publish / kill-switch

Subjects and capability matrix

Covered modules

Director

Coordinate / decide

Analytics

Trends / anomalies

Marketing

Pricing / coupons

Content

Posts / posters

Customer service

Tickets / refunds

Conversation Coach

Feedback → rules

Knowledge Curator

Knowledge gap scan

Search Optimizer

Synonyms / intent