Consumer & Retail
Catch every inquiry, grow every customer
Keewise absorbs inquiries and transactions, Yunke batch-produces and publishes content, and Tianshu backs a company-wide AI workforce — three layers of efficiency for consumer and retail: service, content, organization.
Traffic keeps getting pricier — retention is won on response speed
The competition has shifted from "grabbing traffic" to "catching inquiries, closing tasks, and feeding content fast enough".
Mega-sale inquiry floods
1,000+ comments an hour go unwatched; queued inquiries churn while the conversion window closes.
Slow refund handling
55 human touches per 100 inquiries; refunds take hours and bad reviews brew while customers wait.
Content capacity crunch
A 5-person team ships fewer than 10 videos a month; trends pass by and ad creatives run dry.
Repurchase stalls
Repurchase hovers around 18%; outreach is manual blasts and nobody reminds customers when it’s time to rebuy.
For this industry, here's how the pieces fit
No product laundry list — only the capabilities this industry actually needs.
Keewise · AI Customer Service & Sales
Absorbs inquiries, closes returns and refunds, recommends like a shopping assistant.
- Up to 92% AI resolution rate
- Cross-system tasks in one sentence
- High-intent detection and guided selling
Yunke · AI Content Creation & Publishing
Batch video production, graphics and copy, one-click publishing with data feeding the next batch.
- 10→80 videos per month
- 3 hours per finished video
- Performance data loops back into topics
Tianshu · AI Workforce Platform (at scale)
Batch-deploy AI employees across support, finance and HR, wired into existing systems.
- Proven across 70+ roles
- Connects OA / ERP and other systems
- Secure and controlled — humans make the call
Recommended path: validate one point (service or content) with a 2-week POC, then scale to a Tianshu-powered AI workforce.
Real numbers from consumer & retail customers
From deployed customer cases, anonymized.
AI resolution rate
Climbing across four generationsHuman touches per 100 inquiries
Returns & refunds fully automatedVideos per month
5-person content teamRepurchase rate
Automated content & outreachData from deployed consumer & retail customer cases (anonymized); actual metrics per acceptance testing.
Validate small, then scale at your pace
Service / content POC
Pick the inquiry peak or content bottleneck and validate on real data.
Deliverable: A quantified validation reportDepartment rollout
Full service-team adoption plus a always-on content line.
Deliverable: Service + content, both fasterCompany-wide AI workforce
Extend to finance, HR, supply-chain roles on the Tianshu foundation.
Deliverable: An enterprise AI workforceOngoing operations
Bank knowledge, scripts and content assets that compound.
Deliverable: A reusable asset libraryCommon questions, straight answers
Can we start small?
Yes — the standard path is a 2-week POC: pick one real business scenario, run it on real data, and get a quantified validation report. Scale if it clears the bar, stop if it doesn't. No big up-front commitment.
Is our customer and business data safe?
Four Locks protect it: network isolation (dedicated VPC + private line), a permission gateway (violations blocked on the spot), sensitive-data masking, and sandbox + token throttling. Every step is fully audited, data never leaves your boundary, and the final call stays human.
How does it connect to our existing systems?
Via the Tianshu MCP service bus with credential-to-ticket exchange — legacy and third-party systems (OA, ERP, CRM and more) can be called securely. No rip-and-replace.
Start with a 2-week POC,
turn fear into hard numbers
A 30-minute 1-on-1 solution demo to see how WuCiYuan brings AI employees safely into your workflows. Every step is verifiable, pausable, and reversible.
