Gravity Base’s AI recommendation engine development services help brands in e-commerce, fintech, media, travel, and real estate deliver personalized experiences that drive conversion, engagement, and retention. Built for latency-sensitive, high-traffic environments, our AI recommendation engine development company design engines integrate seamlessly with CRM, commerce, and marketing automation platforms.
Our AI Recommendation Engine Development Services analyze user behavior, CRM signals, catalog metadata, and transactional data to deliver personalized product, content, and offer recommendations across Shopify, Magento, Salesforce, HubSpot, BigQuery, Snowflake, and high-traffic digital ecosystems.
Cross-sell, upsell, frequently bought together, and similar item suggestions to drive revenue. These engines adapt continuously to behavior patterns, ensuring every shopper sees high-intent products at the right moment.
News, OTT, and streaming platforms: continue watching, for you, and personalized content discovery. Our models learn viewer signals in real time to increase engagement, retention, and session depth.
Dynamic bundles, targeted discounts, and retention offers optimized via AI models. Pricing logic updates autonomously as demand, inventory, and user segments shift, maximizing profitability without manual intervention.
Feature discovery, onboarding paths supported by advanced recommendation system development best practices, in-app nudges, and user journey playbooks. These systems improve activation and expansion by guiding users toward the features that matter most.
Next-best content, outreach, or bundles generated using a generative AI recommendation engine aligned with brand and compliance. The engine adapts messaging and offers dynamically, ensuring each recommendation feels personalized and context-aware.
We also integrate industry-tuned intelligence across retail, fintech, real estate, media, and travel, powering smarter recommendations, risk-aware matches, dynamic bundles, and personalized journeys that boost conversion and customer value.
Our AI recommendation engines deliver consistent, data-driven personalization across every channel. They strengthen decision accuracy, improve customer relevance, and enhance conversion and retention for enterprises operating in high-traffic and high-value environments.
Gravity Base’s Deep AI, MLOps, and governance expertise makes it one of the leading AI-powered recommendation engine providers in the UAE. Our expert team has the ability to deploy prototypes to production in 30–60 days, unmatched in the region for recommendation engine AI delivery.
Our AI based recommendation engine analyzes behavior, preferences, and context in real time, delivering continuously learning, personalized content, product suggestions, and offers that drive engagement, conversion, retention, and discovery across e-commerce, fintech, media, travel, real estate, and government platforms.
These are some interesting stories on how Gravity Base delivered AI recommendation engine solutions that turned prototypes into mission-critical systems for regulated enterprises.
Partnering with Gravity Base means choosing a team that treats AI as infrastructure, not just marketing.
Most brands assume they don’t but they do. We work with whatever you have such as clickstream, CRM, catalog metadata, transactions, sessions, even sparse histories. The engine improves as data grows; lack of perfection isn’t a blocker
You get a functional prototype in 30 days and a production-ready engine in 30–60 days, depending on integrations and complexity. Fast, measurable progress without endless experimentation.
Yes. Our real-time APIs and batch pipelines integrate with web, iOS, Android, CRM, marketing automation, and commerce platforms. Your users get a unified, personalized journey everywhere.
We handle cold-start intelligently using hybrid models, metadata features, and contextual signals. This helps in keeping recommendations relevant even with new users, new SKUs, or new content.
We shoulder the heavy lifting including data mapping, model development, infra setup, and MLOps. Your team simply collaborates on access, integration points, and approval cycles.
No. We design for low-latency, high-traffic environments with edge serving, caching layers, and optimized model serving.
That’s normal and expected. Our MLOps loop continuously retrains, A/B tests, fine-tunes, and adjusts based on real user behavior. The engine gets sharper with time.
Yes. We support Shopify, Magento, WooCommerce, Salesforce, HubSpot, Zoho, custom stacks, BigQuery, Databricks, Snowflake, and more. Integration is a core part of the offering, not an afterthought.
Absolutely. We build engines for product discovery, onboarding paths, next-best-actions, citizen service personalization, and more. They’re all tailored to the domain’s rules and workflows.
Monitoring, retraining, drift detection, performance tuning, A/B testing setup, feature updates, model refreshes, and governance checks. The engine evolves as your users and business evolve.
Understand where AI will create immediate operational lift in your organization. Book an Executive Briefing Today.
WR 1008 – Falcon City of Wonders, Dubai, UAE