Solutions

By business scenario and industry,
matched to the right solution.

No need to plan how to apply AI from scratch. We've organized common business needs into standardized solutions: pick the scenario that fits, apply the tuned config for your industry, and hand it to the team to run.

By scenario

Five high-frequency operations scenarios,
each with a standardized solution.

Pick the scenario that fits and the lead configures the right specialist team and starts. See how each one runs in detail.

Scenario 01

Store health diagnosis

Pinpointing where the problem is tends to eat the most time. The team checks store performance daily, surfaces anomalies across traffic, ads and repeat purchase, and attaches the cause and a fix.

  • Daily auto-scan; declines and anomalies flagged on their own
  • Every issue traced to a person, with cause and suggestion
  • Fix ready first; you only decide approve or hold
  • An exportable diagnosis report, reviewable anytime
See details
Flagship store · daily scan3 found
Organic traffic down 12% MoMData+Content
23% of budget on low-ROAS keywordsAds
Return rate above category averageContent+CS
Diagnosis complete · fix ready, awaiting your approval
Scenario 02

Listing optimization

Titles, bullets, A+ and keywords are a heavy workload. The content specialist systematically rewrites the listing against keyword gaps and competitors, lifting indexing and conversion together.

  • Rewrite title and bullets against keyword gaps
  • Fill selling points and A+ content versus competitors
  • Ongoing tracking of core keyword indexing and rank
  • Batch across many SKUs, never cookie-cutter
See details
Listing optimization · batch of 88 / 8 done
Title rewrite · +4 high-converting wordsIndexing +
Bullet points · benchmarked to Top 3Edited
A+ content structure suggestionsDone
Core keyword rank trackerBuilt
8 listings · 32 keywords covered · 1 rank tracker
Scenario 03

Ad campaign optimization

Ads need 24/7 monitoring; a small lapse can throw budget off. The ads specialist watches ROAS and spend structure, audits inefficient keywords and suggests bid and keyword changes. Price changes and spend increases always come to you for approval first.

  • Auto-audit low-ROAS keywords and wasted spend
  • Clear suggestions for bids, keywords and spend
  • Budget restructures always reported to you first
  • Daily ROAS and spend report pushed to the group
See details
Ad restructure · suggestionAwaiting approval
Pause 12 low-ROAS keywords-23%
Raise bids on 3 converting wordsROAS↑
Q3 promo budget +$80,000Needs approval
Projected ROAS 4.2 · sensitive action held for your OK
Scenario 04

Content generation

Content demand is high and easily repetitive. The content specialist uses keyword and competitor data to batch out hero-image selling points, detail copy and short-video scripts, at scale without being cookie-cutter.

  • Hero-image selling points and detail copy in batches
  • Short-video and seeding scripts delivered as sets
  • Adapted across platforms and versions at once
  • Differentiated per product, never uniform
See details
Content generation · batch of 2020 / 20 done
Hero-image points · 6 versionsDone
Detail copy · 8 versionsDone
Short-video scripts · 6Done
20 pieces · 3 platforms · all differentiated
Scenario 05

Product research

A sourcing mistake drags down everything downstream. The sourcing analyst combines market trends, competitor performance and profit math, scores and ranks candidates, and outputs a decision-ready sourcing report.

  • Market trend and demand-heat assessment
  • Competitor price, rank and review breakdown
  • Combined score of cost, profit and competition
  • A decision-ready sourcing report
See details
Product research · 12 candidatesScored
Portable lamp · demand up, medium comp.92 pts
Desk organizer · high profit, good reviews88 pts
USB fan · red ocean, price war64 pts
12 candidates · 3 recommended · 1 sourcing report
By industry

One engine,
tuned per industry.

Each industry's domain knowledge, compliance defaults and SOP variants are built in. Pick your industry and apply it directly; e-commerce retail is one of our deepest focus areas.

Focus industry

E-commerce retail

Detail-page copy, hero-image selling points, listing optimization, ad campaigns, support scripts and product research. From daily launches to peak-season sales, the team is on call. Covers Amazon, DTC sites, and multi-platform operations.

3,200+brands using
200+detail pages/sprint
output speed
View industry solution
Focus industry

Internet / IT

Product docs, tech blogs, release notes, user Q&A, growth content and developer relations. Marketing content no longer lands on engineering, and ops don't need endless cross-team sign-off.

4,800+SaaS teams
60%less doc load
API+ full Webhook
View industry solution
Comparison

Against comparable options,
the difference is clear.

 General AI assistantChatGPT · Claude · GeminiAgency / outsourcingClawTeamsHire your own team
Multi-skill team (data/content/ads/support)
Store backend + professional e-commerce dataDepends on vendorBuild it yourself
Daily proactive scan & diagnosisDepends on staff
Scale up for peak seasonsExtra cost & lead timeCan't hire in time
Budget caps + price/spend approvalOpaqueDepends on management
Fully logged and auditableEmail back-and-forthDepends on process
Time to first outputMinutes (write your own prompts)Days to weeksWeeks (hiring)
Monthly cost$30 / account$5,000 – $30,000+$18,000+ / person

General AI is good for one-off Q&A and creation, but task breakdown, process monitoring and approval are still on you. Agencies and outsourcing can deliver results, but cost more, take longer and offer limited transparency. ClawTeams fits teams that want delivered results while keeping budget and decision control: state the goal, the lead orchestrates execution, you just receive the output. For complex business judgment, a human is still the final decision-maker; ClawTeams augments capacity rather than replacing it.

FAQ

Common questions about the solutions.

Start with "store health diagnosis." It sorts out what most needs attention right now and sets priorities, so you can tell whether listing optimization, ads or content should come first. You can also just describe your goal and let the lead match the right scenario and specialists.
With an agency, the process is hard to see and costs more. ClawTeams works inside the chat you already use: progress is visible, every step is logged, price and spend changes need your approval, and budget has four caps. You save the headcount and keep control.
Yes. The listed industries are common ones with built-in domain knowledge and SOPs; the engine itself is general-purpose. For niches not listed, the lead adapts from general capability plus your business data, and it works just as well.
Yes. An AI team has no hiring cycle, so it can be scheduled before a peak, produce content and assets in parallel batches, and keep monitoring during the peak. That's the core advantage over hiring and agency lead times.
Amazon Seller Central, DTC sites (Shopify, etc.) and major e-commerce platforms, working with Slack, Lark and 8 major IM tools for delivery and approval. Data is connected under official authorization and mostly read-only; any change-making action needs your confirmation.
Start from the scenario that fits

Pick a solution,
hand it to the team.

Choose a scenario or industry solution above, or just describe your business and the lead configures the team.

Runs in 8 major IM toolsUpgrade or cancel anytime