Powering digital-native products with AI-first experimentation and unified data
Digital-native businesses live and die by speed—speed of shipping features, learning from users, and scaling what works. Shorthills AI helps product, growth, and data teams turn fragmented product, marketing, and customer data into one AI-ready backbone, then layer GenAI on top for faster experimentation and sharper decisions.
From e-commerce and marketplaces to SaaS and fintech platforms, we’ve built systems that automate research, optimize pricing and marketing spend, and surface insight directly inside the tools teams already use. The result: lower CAC, better unit economics, and products that feel smarter and more personalized with every release.
Marketing ROI & media mix optimization
We build advanced Media Mix Modeling and attribution solutions that show which channels really drive conversions and revenue, and how to rebalance budgets for better ROI without guesswork.
Frequently asked questions
Powering smarter, faster healthcare with Generative AI and a centralized data hub
Shorthills AI helps healthcare organizations turn complex clinical, genetic, and insurance data into clear, decision-ready insight—without adding more burden on clinicians or staff. We build centralized data hubs that bring together Electronic Health Records (EHR), claims, lab reports, and genetic information into one trusted foundation, then layer GenAI tools on top to reduce manual work, improve accuracy, and speed up critical workflows.
Whether you’re digitizing genetic workflows, improving patient intake, or modernizing a country-wide healthcare and insurance platform, we help you move faster with secure, governed AI built for real-world healthcare—where safety, privacy, and compassion matter as much as speed.
Our Focus Areas for Digital Native Businesses
Omnichannel data backbone & real-time analytics
Unifying e-commerce, POS, inventory, and marketing data into a governed lakehouse on platforms like Azure Databricks—so leaders get real-time visibility into sales, margins, and stock across channels, stores, and regions.
Customer 360 and AI-driven personalization
We combine what customers do, what they buy, and how they interact into one complete customer profile, then using GenAI and ML to power smarter segmentation, recommendations, next-best-offer journeys, and retention programs.
Demand forecasting, inventory & assortment optimization
Using machine learning on historical sales, promotions, seasonality, and external signals to forecast demand, optimize inventory levels, and fine-tune assortments—reducing stockouts, overstock, and margin leakage.
Pricing & promotion intelligence
We analyze sales and market signals to find the best prices and promotion plans across channels — helping teams protect margins while staying competitive and quick to respond to market changes.
Store performance & operational intelligence
We pull together sales, staffing, and operations data to show store-level insights — like productivity, conversion rates, and losses. AI assistants and dashboards help managers spot problems early and fix them fast.
GenAI copilots for retail teams
Building secure, domain-tuned GenAI copilots that sit on top of your governed data—helping planners, marketers, and operations teams query data in natural language, generate insights, and automate routine analysis and reporting.
Our Focus Areas in Retail
AI copilots for sales, growth & customer teams
Using Agentic AI, we create research and insight copilots that auto-gather data from the web, CRMs, product logs, and docs—then deliver concise briefs and recommendations directly into calendars, email, or collaboration tools.
Dynamic pricing & revenue intelligence
We design ML-driven pricing and recommendation engines that factor in demand, competition, customer behavior, and product attributes—helping teams move from static pricing tables to live, data-driven decisions.
AI-powered marketplaces & transaction flows
We help marketplaces create end-to-end digital journeys—from richer lead capture and qualification to “buy now” flows, financing, and add-ons—backed by data pipelines that keep every step measurable.
Building and scaling AI-native products
We work as product and engineering partners to design, build, and scale AI-first experiences—like review intelligence platforms, investor tools, or research engines—on modern cloud and MLOps foundations.
Unified clinical, claims, and operational data hub
Bringing together EHR feeds, ADT messages, claims, and legacy data into a single, trusted platform—so providers and administrators see the full patient journey instead of piecing it together from multiple systems.
Risk scoring, cost-of-care, and population health analytics
Clean, unified data powers models that estimate care costs, identify high-risk patients, and support value-based care — reducing readmissions and insurance costs.
Genetic pedigree digitization and rare-disease workflows
Turning hand-drawn pedigree charts into structured, editable digital records and building tools that make it easier to capture, store, and reuse genetic family history at scale.
Patient intake and family history automation
Using guided chatbots and AI forms to collect family and medical history ahead of appointments, so consultations focus on decision-making instead of basic data capture.
Medical evidence synthesis and patient-friendly guides
Applying LLMs to trusted medical literature to draft accurate, sensitive, patient-friendly guides—helping teams move from months of manual reading to minutes per first draft, while keeping experts in the loop.
Security, privacy, and governance for healthcare AI
Designing solutions that respect HIPAA, GDPR, and local data rules—from encryption and access controls to on-prem or client-controlled hosting—so sensitive health data stays protected end-to-end.
Our Focus Areas in Retail
Turning Digital-Native Growth Challenges into Opportunities
Digital-native teams often know what they should do—experiment more, personalize better, cut wasted spend—but are blocked by messy data and manual work. Shorthills AI helps turn those blockers into levers for growth.
From fragmented data to a shared growth backbone
Instead of siloed product, marketing, and finance reports, we create a single data layer that feeds dashboards, models, and GenAI tools—so every team works off the same metrics.
From “spray and pray” marketing to provable ROI
We move you from channel spend driven by intuition to media mix models, incrementality insights, and scenario planning that show exactly where the next dollar should go.
From manual research to always-on market & account intelligence
We replace ad-hoc desk research with AI agents that continuously scan companies, markets, and users—then push tailored briefs to sales, marketing, and product ahead of every key conversation.
From static pricing to living revenue strategies
We help you move away from one-size-fits-all price lists toward ML-driven price guidance and package optimization that improve conversion without eroding trust.
From content overload to clear, trusted signals for users
We use NLP and GenAI to turn millions of reviews, transactions, or user actions into simple scores, summaries, and comparisons that help customers decide in seconds—not hours.
From experimental AI pilots to reliable, production-grade systems
-
We take promising POCs and turn them into monitored, secure, and cost-optimized AI services with clear SLAs—so your product teams can safely build on top of them.
Turning Retail’s Biggest Challenges into Opportunities
Retailers that win see what’s happening now and act fast. Shorthills AI turns fragmented systems and slow reports into a real-time, AI-ready retail backbone.
From batch reports to real-time insight
We replace slow, on-prem reporting with cloud-native streaming, enabling sales, returns, and inventory to have one real-time view.
From siloed data to a true 360° view
We connect web, POS, loyalty, and marketing data into one model for clear customer and product visibility.
From ad-hoc analytics to ML-ready foundations
We build clean, trusted datasets that power dashboards and AI use cases like churn, recommendations, and demand forecasting.
From manual effort to AI-assisted decisions
We add secure GenAI assistants so teams can ask questions in plain English and get instant, actionable answers.
From risky transformation to governed modernization
We use proven methods, encryption, and access controls to modernize data safely and get you ready for the next wave of AI.
Why Digital-Native Businesses Partner with Shorthills AI
Built for high-growth, experiment-heavy teams
We understand rapid release cycles, A/B testing, and growth loops—and design data and AI systems that keep up with your pace, not slow it down.
Deep experience with AI-native products and platforms
From affiliate commerce and investor tools to global SaaS research engines, we’ve built and scaled AI products that serve millions of users and process millions of data points.
Agentic AI expertise, not just “chatbots”
Our solutions use multi-step, Agentic workflows that can research, analyze, and act across tools—turning AI into a true teammate for your sales, marketing, product, and ops teams.
Strong data engineering and MLOps foundations
We pair GenAI with solid engineering—modern lakehouses, pipelines, monitoring, and governance—so insights are fast and trustworthy.
Cloud-agnostic, ecosystem-friendly approach
Whether you’re on AWS, Azure, GCP, Databricks, Snowflake, or a mix, we integrate with your existing stack instead of forcing a rip-and-replace.
Obsessed with business outcomes, not just models
Every engagement is tied to clear goals—higher conversion, better LTV/CAC, faster research time, improved ROI—and we design dashboards and metrics so you can see the impact in your own numbers.
Unified product, growth & revenue data
We bring together product analytics, marketing spend, CRM, support, and billing data into a governed lakehouse—so teams stop arguing over numbers and start running experiments on a single, trusted source of truth.