Restaurant chainsStore operations · loss control · product development · reputation risk
Yunshu Zhiliang enterprise AI solutions
Save moneyReduce operating loss
Cut costRemove repetitive labor
Move fasterShorten cycle times
Control riskSpot problems earlier
Start with the workflow that matters most
We do not sell a generic chatbot. We redesign a complete business loop, define what AI can do, keep key decisions with people and verify the outcome.
Representative operating loops
Each solution begins with a business signal and ends with execution, write-back and a result that can be checked.
Store loss control
Forecast demand, recommend orders, compare theoretical and actual usage, create exception work orders and verify the saving.
New-product launch
Connect customer insight, cost screening, recipe trials, store tests, launch approval and post-launch review.
Merchandising Agent
Build a candidate pool, collect operating evidence, score opportunities, route human approval and read back trial results.
Growth operations
Turn leads, campaign content and channel data into prioritized tasks, exception handling and weekly result reviews.
Cross-border sales
Research the market, qualify inquiries, draft quotations, check documents and track order fulfillment across systems.
Reputation and risk
Detect negative signals, classify severity, escalate high-risk cases, drive store correction and confirm closure.
01 · Beverage brand · loss control
Leading restaurant brand · loss control
RMB 3.6 million less loss per year
Turn loss exceptions into a traceable, assignable and verifiable process
The operating loop connects the loss baseline, root-cause signals, accountable work orders and finance verification.
02 · Restaurant group · labor efficiency
Restaurant group · labor efficiency
85 roles removed · RMB 8.5 million saved per year
Shift teams from repetitive execution to exceptions and decisions
AI takes on high-frequency work across delivery operations, lead handling and content production; people focus on quality, exceptions and strategy.
03 · Hakka cuisine · product development
Restaurant chain · new-product development
8-12 weeks → 3-4 weeks
Give the R&D team more time for tasting and store validation
AI connects customer insight, cost screening, trial records and store testing, cutting the development cycle to 3-4 weeks.
04 · Chinese dining · reputation risk
Leading restaurant brand · risk alerts
From no control to alerts within minutes
Move reviews beyond replies and into store correction
The loop detects food-safety and reputation signals, sends minute-level alerts and drives a 24-hour corrective-action workflow.
Case note: Client names are withheld under confidentiality agreements. The figures shown are results from real projects.