Alibaba / LinkedIn / Pinterest Operations
A standardized SOP + AI knowledge base for B2B platform operations. Foundation → systematized ops → continuous optimization, all trackable and measurable.
Outsource top-of-funnel ops, focus on the core
Systematized & trackable
Every stage has a documented SOP and a weekly dashboard. Not a black box — a transparent process you can audit anytime.
AI knowledge base built in
Aggregates your site, chat logs, RFQs, and competitor data. The AI assistant suggests quotes and reply drafts; avg response time under 1 hour.
3-star store is the anchor goal
Alibaba 3-star certification anchors the KPI, dragging product / marketing / trade scores up together.
Tagged lead pool, never lost
A four-axis tagging SOP (deal stage / region / type / priority) means staff churn never costs you the relationship.
A pyramid from foundation to continuous optimization
Foundation → systematized ops → continuous optimization. End-to-end coverage where every stage is trackable and measurable.
Build the right foundation
A strong storefront attracts strong buyers
Anchor on Alibaba 3-star certification. Stand up standardized SOPs, build a professional storefront, attract qualified buyers organically.
- ▸Store standardization: complete brand presence + base data
- ▸Product launch + positioning: test → focus → optimize
- ▸Ad strategy: prune junk keywords, lock high-intent terms, lift quality inquiries
- ▸Sample trades: accumulate real transactions, build global trade credibility
Trackable end-to-end execution
Know progress, hand off cleanly, define success
AI + standardized SOPs run prospect handling and list management. Fast response, stable platform ratings, and seamless handoff of high-potential buyers to your senior team.
- ▸Response playbook: OKKI deal-flow guide + canned message library + score maintenance
- ▸Lead tiering: deal stage / region / buyer type / priority
- ▸Automated follow-ups: dormant-lead reactivation, RFQ tracking, smart marketing pushes
- ▸AI knowledge base: site + RFQs + competitor data + work patterns + NotebookLM / Gemini Gem
- ▸Internal handoff: clear transfer rules + complete project context
Output: high-potential leads
Stay competitive, keep winning
Data-driven keyword strategy + precision ad ops keep visibility and ROAS climbing. Weekly tag tracking diagnoses why deals stall.
- ▸Product + ad optimization: keyword refinement, weekly product tracker, ROAS improvement
- ▸Customer follow-through: weekly "tag tracker" + "case tracker"
- ▸Trust building: certifications, case templates, deal acceleration
- ▸End-of-month re-engagement: targeted second outreach to opens-but-no-replies
- ▸Process refinement: AI knowledge base tuning, AI quoting, AI reply suggestions
Service flow
Service briefing
Walk through scope, working model, and expected outcomes.
Discovery + research
Pre-interview research; in-interview deep-dive on workflow and tribal knowledge.
Handoff design
Lock joint handoff cadence and deliverables before kickoff.
AI knowledge base setup
Stand up a business-specific AI knowledge base so the ops team ramps fast.
Systematized ops
Execute foundation, prospect handling, and continuous optimization.
High-potential lead delivery
Curate the highest-potential leads via tagging + smart marketing and hand them off.
From 3-star to 5-star in 4 months
Climbing / fall-protection hardware
Started at 3-star: 257 "potential" SKUs, 12 hero SKUs, marketing index 70. Monthly online USD 8.2K / 5 orders. Ad spend TWD 25.5K with weak P4P ROI; RFQs frequently went unanswered.
Foundation: store standardization + banner & PDP before/after, junk-keyword pruning, high-intent keyword targeting. Systematized ops: OKKI deal-flow templates, canned messages, four-axis tagging, end-of-month re-engagement of opened-but-silent leads. Optimization: weekly product tracker + customer tracker (e.g. week of 4/5–4/11 logged 15 active customers with 1 flagged for follow-up).
In 4 months: product score 3★ → 5★ (potential SKUs 257 → 494, heroes 12 → 16). Marketing index 70 → 90 (5★). Trade-ready and RFQ scores both at 10/10 target. Monthly ad spend down to TWD 14,349.
Tech-brand cosmetic-bag premiums
Non-price-driven orders, multiple QA rounds, brand-marketing demands. Hand-offs were ad-hoc and context regularly lost.
Built a cosmetic-bag handoff SOP (10 fixed fields: background, decision authority, budget profile, timeline, product type, status, payment, notes, next step). Senior team auto-triggered at "deal possible within 3 months" threshold.
Zero handoff drift across projects. Sample / small / production-order paths run independently. September launch met on schedule.
Want to know how close your store is to 3-star?
Book a free 30-minute call — we audit your product / marketing / trade scores live.
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