Your Brand Is Not Ready for AI Agents

1. Your data is locked in SaaS silos

You can’t vector-search subject lines or graph-walk customers → products.

Export, standardize, and land in a vector store + warehouse + graph.

2. You think “automation” = Zapier

Zaps move rows; agents reason and need memory + feedback.

Draft a single agent spec (inputs → reasoning → action → metric).

3. Brand knowledge lives in heads & PDFs

Voice, tone, best offers, buyer personas are invisible to LLMs.

Chunk and embed that knowledge in a vector DB.

4. No structured feedback loops

You run campaigns but never feed outcomes back to any model.

Pipe opens, clicks, ROAS into the same warehouse the agent queries.

5. Blind workflow gaps

Agents can’t see inventory, heatmaps, or refund reasons.

Surface each hidden dataset, even a weekly CSV dump is a start.

6. Roles over agents

“Email person” mindset limits you to copywriting bots.

Design agent workflows that chain strategy → creative → launch → learn.

Customer Profiles (Shopify)

customer_id, email, tags, LTV, last_order_dt

Neo4j + warehouse

Graph reveals “who bought like who”; SQL powers LTV reporting.

Orders (Shopify)

order_id, customer_id, product_ids[], revenue, source

Warehouse

Joins ads cost & cohort models.

Product Catalog

product_id, title, description, images

Pinecone (embeds) + warehouse

Semantic search for “brightening serum under $40”.

Media Assets (Air, Recharm, Icon)

raw videos

Pinecone + AWS S3

agentic vector scene search and ad production

Email Campaigns (Klaviyo)

campaign_id, subject, send_dt, opens, clicks

Pinecone (copy) + warehouse (metrics)

Agent can clone the vibe and forecast ROI.

Segments (Klaviyo)

segment_id, rule_json, member_ids[]

Neo4j

Path queries: “customers in VIP and Glow Serum buyers”.

Reviews & UGC (Yotpo)

rating, body_text, image_url

Pinecone

Sentiment mining; copy injection.

Support Tickets (Gorgias)

subject, body_text, tags, csat

Pinecone

“What issues spiked last week?”

Heatmaps & Recordings (Hotjar, Clarity)

click/scroll CSVs, event JSON

Parquet on S3 + DuckDB

Sub-second SQL in agents; keep Athena for BI.

Ad Performance (Meta, Google)

ad_id, creative_text, spend, purchases

Warehouse + Pinecone

Pause losers; generate look-alike creatives.

Ad-hoc BI, cheap cold storage

Snowflake / BigQuery / ClickHouse

Snowflake for cross-cloud & warehouse sizing; BigQuery for serverless “no clusters”.

Semantic search over text, images, audio

Pinecone / Weaviate

Purpose-built vector indexes under 100 ms.

Entity & relationship reasoning

Neo4j

GraphRAG lets LLMs issue Cypher queries (“Who bought X after reviewing Y?”).

Fast, local crunch on log files

DuckDB + Parquet in S3

One container, zero infra, millisecond scans.

Creative Déjà Vu Writer

Generates subject-lines and body copy semantically similar to past 30 %-CTR emails and aligns them with top-converting landing pages.

Pinecone (email copy + reviews), Warehouse (GA4 / revenue)

Cart-Drop Surgeon

Detects live spikes in checkout_started events with no purchases, then fires personalised SMS/email referencing the exact abandoned items.

Event Stream → DuckDB, Neo4j (customer graph), Klaviyo API

Influencer Look-Alike Radar

Finds creators whose bio/image embeddings match your top performers and whose followers overlap <10 % with your list.

Pinecone (creator embeddings), Neo4j (creator→product graph), Warehouse (sales by creator) (like these influencer agents)

Heatmap Pain-Point Narrator

Clusters rage-click hotspots, reviews session recordings

Parquet + DuckDB (Hotjar, Clarity) (like this CRO Agent)

ROI-Aware Ad Cycler

Pauses low-ROAS ads, generates new variants mimicking winning tone, and pushes them to Meta/Google Ads.

Warehouse (ad spend + orders), Pinecone (ad creative embeddings like the ones used by these Scene Prep agents)

CX Memory Concierge

Replies to support emails by citing the customer’s last issue and summarising the resolution in one on-brand paragraph.

Pinecone (support tickets), Neo4j (customer→ticket links)

Return-Rate Reducer

Flags SKUs with rising returns, clusters refund reasons, and rewrites PDP copy or inserts friction-reducing FAQs.

Warehouse (orders + returns), Pinecone (reviews), Neo4j (SKU graph)

Dynamic-Bundle Builder

Creates high-margin product bundles based on “frequently co-purchased” paths and inventory levels.

Neo4j (co-purchase graph), Warehouse (inventory + margin)

Subscription-Churn Whisperer

Predicts which subscribers will cancel next cycle, then triggers personalised “skip or swap” outreach across email + SMS.

Warehouse (Recharge), Pinecone (ticket sentiment), Event Stream (engagement)

Price Elasticity Tuner

A/B tests micro-price changes on low-traffic PDPs, measures lift in real time, and rolls winners store-wide.

Warehouse (orders), TimescaleDB or DuckDB (real-time price events)

Loyalty-Tier Gamifier

Monitors points accrual, recommends quests (“buy X to hit Gold”), and injects banners or flow steps in Klaviyo.

Neo4j (loyalty graph), Pinecone (copy), Klaviyo API

Sustainability Footprint Reporter

Aggregates supplier carbon data, maps SKUs to impact scores, and autogenerates ESG sections for PDPs and campaigns.

Warehouse (supplier feeds), Pinecone (certification docs)