Personalisation | AI Discovery
Turning every click, query, and scroll into a uniquely relevant experience — in milliseconds.
Consumers now face an endless aisle of choice: > 80 zettabytes of data and content flow through digital channels each year (IDC, 2024). Yet attention is scarcer than ever. A Google benchmark shows that 40 % of Gen Z now use TikTok or Instagram for discovery instead of Search. Brands that deliver hyper‑relevant content in the exact moment of intent see +30–70 % revenue lift (McKinsey Global Institute) — the rest are invisible.
Our promise: VarenyaZ turns noisy user signals into a real‑time discovery graph powered by large‑language models and vector search, so every visitor sees exactly what they’re looking for — or what they never knew they needed — in under 100 ms.
The Personalisation Pressure Cooker
The cost of generic, one‑size‑fits‑none CX.
VarenyaZ Value Playbook
Core capabilities that build real‑time relevance at scale.
Real‑Time Event Fabric
Apache Kafka + Debezium CDC capture every click, view, and price‑change in < 50 ms.
Signal Enrichment Engine
Geo, device, session velocity, and LLM‑extracted semantics add 90+ features per event.
Hybrid AI Recommender
Vector Search (ANN) for short‑term taste + Gradient‑boosted models for long‑term affinity.
Gen‑AI Copy & Creative
GPT‑4o drafts variant headlines, DALL·E generates hero art, each A/B‑tested in the journey.
Latency‑Aware Edge Inference
ONNX models stream from Cloudflare Workers or AWS Lambda@Edge for < 100 ms p95.
Differential‑Privacy Guardrails
PII hashing, regional residency, consent vault, and Rego policies for GDPR/CCPA.
Modular Solution Stack
A composable reference architecture from data ingestion to edge inference.
Capability
Event/CDC ingestion, schema registry
Core Tech
Kafka 3.x, Debezium, Confluent SR
Capability
Real‑time & offline features, TTL, lineage
Core Tech
Feast v3, Redis 7, Snowflake + Iceberg
Capability
Embeddings, boosted trees, bandits
Core Tech
PyTorch, XGBoost, Ray Tune
Capability
Approx‑nearest‑neighbor queries
Core Tech
Pinecone, RedisVector, pgvector
Capability
Sub‑100 ms recs & Gen‑AI text
Core Tech
ONNX Runtime, Cloudflare Workers AI, AWS SageMaker Endpoints
Capability
A/B/MVT, bandit rollout
Core Tech
GrowthBook, Optimizely Full Stack
Capability
Feature drift, latency, uplift
Core Tech
Evidently AI, Grafana Cloud, Datadog APM
Capability
Consent, PII vault, audit logs
Core Tech
Privado, HashiCorp Vault, OPA Policies
Segment‑Specific Accelerators
Customised solutions that get you personalising faster.
E‑commerce & Marketplaces
- •Bundled RFM, co‑view graph, anonymous → known stitching
Media & Streaming
- •Context‑aware episode recs, dynamic thumbnails, watchlist churn‑ML
FinServ & Insurance
- •Offer ranking w/ risk score, explainable SHAP outputs for regulators
SaaS & B2B
- •Intent‑based content hubs, PQL scoring, auto‑segmented nurture flows
Travel & Hospitality
- •Price‑sensitive search, geo‑weather promos, cross‑device trip graph
Each accelerator ships with dataset schemas, pre‑trained embeddings, and UI widgets—cutting integration time by 35–50 %.
Personalisation Maturity Curve
From static segments to self‑optimising experiences — step by step.
KPI Ceiling
Opens, clicks plateau
Blockers
Batch CRM lists
VarenyaZ Accelerator
Real‑Time Event Fabric
KPI Ceiling
1–2% CTR uplift
Blockers
Manual rule sprawl
VarenyaZ Accelerator
Feature Store + AutoML
KPI Ceiling
4–8 % uplift
Blockers
Latency, cold‑start
VarenyaZ Accelerator
Edge Inference + Vector DB
KPI Ceiling
10–15 % uplift
Blockers
Content debt
VarenyaZ Accelerator
Gen‑AI Copy & Creative with guardrails
KPI Ceiling
Bandit tuning
Blockers
Org silos
VarenyaZ Accelerator
Automated causal A/B pipelines
Proven Impact
Median across five 2024 deployments in fashion, media, and fintech.
Product Click‑Through Rate
Average Order Value
Cold‑Start Bounce
Edge Latency p95
Revenue per Visitor
“Turning data into discovery, at the speed of intent.”
Signature Case Story — Streaming Giant Boosts Watch‑Time
Problem: Home‑page rails saw fatigue; new shows buried; 34 % viewers churn within 30 days.
Solution: VarenyaZ integrated a vector‑search rec‑sys + GPT‑generated show blurbs; edge‑rendered hero art matched taste clusters.
Results:
- Watch‑time/session + 27 %
- New‑title discovery + 41 %
- CDN egress cost – 19 % via edge‑batch thumbnails
- Churn – 6 pts in 90 days
Partner Ecosystem
Leading AI & data solutions integrated for unstoppable personalisation.
Ready to Turn Relevance into Revenue?
Schedule a 30‑minute AI‑Discovery consult and leave with a prototype roadmap, cost model, and three quick‑win experiments.
VarenyaZ — from data, to discovery, to delight — at the speed of intent.
Frequently Asked Questions
Everything you need to know — or just ask us.
How long to onboard our catalog into a vector DB?
What if site latency spikes?
Can Gen‑AI copy stay on‑brand?
How do we solve cold‑start?
Who owns the model IP?
Is real‑time required?
How is PII protected?
What analytics come out‑of‑the‑box?
Which LLMs do you support?
Can we A/B Gen‑AI creatives?
How often do models retrain?
Will personalisation hurt SEO?
How do we measure incremental lift?
Any managed service option?
Cost to run vector search at scale?