Recommend What Matters. Convert More, Retain Longer.
Use behavior, context, and real‑time signals to serve the right product, content, or offer to each user, increasing click‑through, basket size, and lifetime value across channels
Overview
GullyAI's Recommendation Systems turn browsing, purchase, and engagement data into highly relevant suggestions that feel personal, not pushy. We blend collaborative filtering, content and graph models, deep learning, and business rules to optimise for measurable outcomes like click‑through rate, add‑to‑cart, watch time, and repeat purchase. With guardrails, explainability, and strong MLOps, we deliver recommendations you can trust at scale for e‑commerce, OTT, EdTech, SaaS, and retail.
Overview
Higher Conversions
Serve relevant items in search, PDPs, carousels, and email so users discover value faster, improving click‑through and add‑to‑cart while reducing friction in critical decision moments
Bigger Baskets & AOV
Use complementary and cross‑sell logic to suggest bundles, accessories, or upgrades that fit user context, increasing average order value without resorting to steep discounting strategies
Better Retention & LTV
Keep users engaged with timely, taste‑aware picks that adapt as interests evolve, driving repeat visits, subscription endurance, and higher lifetime value across segments and cohorts
Personalised Journeys
Orchestrate one‑to‑one paths across web, app, email, and push, aligning recommendations with intent, inventory, and margin rules so every touchpoint feels smart, useful, and consistent
Faster Merchandising Decisions
Give teams explainable signals on what resonates by audience and channel, guiding promotions, catalog curation, and content placement with confidence backed by live performance data
Features
Hybrid Recommendation Engines
Combine collaborative filtering, content‑based models, graph relationships, and deep learning to capture taste, context, and novelty while avoiding filter bubbles and cold‑start pitfalls
Context & Real‑Time Signals
Ingest session behavior, location, seasonality, price sensitivity, and inventory to update suggestions instantly, keeping recommendations aligned with user intent and commercial goals
Cold‑Start & New‑Item Handling
Use item metadata, embeddings, and popularity priors to recommend new products or content immediately, limiting dead ends and accelerating discovery for fresh catalog additions
Business Rules & Guardrails
Enforce constraints for margins, stock, compliance, and brand safety, ensuring recommendations are profitable, permissible, and aligned to merchandising and policy requirements
Explainability & Controls
Provide interpretable reasons, similarity insights, and override tools so marketers fine‑tune carousels, troubleshoot edge cases, and maintain trust with stakeholders and end users
MLOps & A/B Testing
Ship with CI/CD, feature stores, monitoring, and experiment frameworks to compare models, detect drift, and continuously lift KPIs with evidence rather than assumptions or guesswork.
Use Cases
E‑commerce
“Frequently bought together,” “You may also like,” and onsite search personalisation that increases discovery, improves conversion, and raises average order values at scale reliably
OTT / Streaming
Taste‑aware rows and continuation picks that reduce choice paralysis, increase session starts, and extend watch time by sequencing content users are statistically likely to finish and enjoy
EdTech
Adaptive lesson, quis, and resource suggestions that respect learner pace and gaps, improving completion rates while guiding instructors to content that drives measurable learning outcomes
SaaS
In‑app guidance, template picks, and feature surfacing based on role and behavior, accelerating time‑to‑value, boosting activation, and nudging expansion into higher‑impact workflows predictably
Retail (Omnichannel)
Store and digital signals unify to power clienteling and localised offers, ensuring associates and apps present relevant items that convert without eroding margin or inventory balance
Our Process
Discover & Align
Define commercial objectives, guardrails, and success metrics; map key placements and journeys so recommendations optimise the moments that matter for growth and profitability
Data & Features
Integrate clickstream, catalog, pricing, and inventory; engineer cross‑channel features and embeddings that capture similarity, co‑occurrence, and seasonality with high signal quality
Modeling & Validation
Train hybrid models and tune for precision, recall, diversity, and coverage; back‑test against baselines and run offline metrics correlated with real business outcomes credibly
Pilot & A/B Test
Launch controlled experiments in selected placements; measure uplift on CTR, add‑to‑cart, watch time, or activation while monitoring margin impact and operational constraints carefully
Deploy & Monitor
Productionise with MLOps, feature stores, and observability; track drift, latency, and bias, and automate retraining so performance remains steady as behavior and catalogs change
Scale & Govern
Extend to new channels, audiences, and geographies; codify playbooks, override policies, and compliance checks to ensure sustainable results with transparent accountability.
Why Choose GullyAI
Outcome‑First Design
We anchor models to revenue, retention, and margin goals, ensuring lifts are real, repeatable, and visible in dashboards executives trust for ongoing investment decisions
Domain Depth
Experience across e‑commerce, OTT, EdTech, SaaS, and retail helps us preempt pitfalls, select placements wisely, and tune incentives so algorithms complement brand and category strategy
Responsible Personalisation
Built‑in guardrails, diversity constraints, and bias checks protect users and brands, preventing echo chambers while honoring policy, safety, and regulatory requirements
Operational Fit
APIs, batch jobs, and plug‑ins integrate with your CMS, search, CDP, ESP, and apps, enabling teams to launch and iterate without disruptive replatforming or lengthy migrations
Continuous Improvement
A/B testing, multi‑armed bandits, and monitoring pipelines let us adapt quickly, retire under‑performers, and compound gains with disciplined experimentation at sensible cadence.
Frequently Asked Questions
Ready to personalise every touchpoint without guesswork?
Let's deploy recommendations that lift conversion, grow loyalty, and protect margin from day one.
Book a Free Consultation