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Pink Poppy Flowers

Retail

Grow Smarter with Real Time, 
AI-Driven Omnichannel Retail 

Contact Our Retail Lead

Real-Time Retail Intelligence Built on Azure and Databricks

Shorthills AI helps retailers turn every click and every transaction—online and in-store—into real-time, decision-ready insight. We design and build Azure- and Databricks-powered lakehouses that unify e-commerce, POS, inventory, and marketing data into a single, governed backbone. On top of this, we layer AI-driven analytics for demand forecasting, promotions, churn prediction, and personalization, so teams stop only looking at what happened and start acting ahead of it. 
Whether you’re adding new sales channels, improving store performance, or running targeted promotions, we provide the data and AI tools to grow faster, protect profits, and give customers the same great experience everywhere. 

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Data Analysis Charts

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. 

Data Analysis Charts

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. 

Data Analysis Charts

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. 

Data Analysis Charts

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. 

Data Analysis Charts

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. 

Data Analysis Charts

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 

Data Analysis Charts

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. 

Data Analysis Charts

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. 

Data Analysis Charts

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. 

Data Analysis Charts

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. 

Data Analysis Charts

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. 

Data Analysis Charts

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 

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. 

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. 

Depositphotos_229999074_XL.jpg

Turning Retail’s Biggest Challenges into Opportunities 

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. 

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. 

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Related Case Studies

A fast-growing omnichannel electronics retailer outgrew its on-prem systems: transaction spikes from e-commerce and hundreds of in-store POS machines strained Oracle, slowed upserts to 3–4 hours, and kept analytics teams from building recommendations, churn models, and personalization. Shorthills delivered a modern Azure data lakehouse with Databricks to stream online and in-store transactions. Phase 1 onboarded historical data; Phase 2 enabled real-time ingestion so teams access a single source of truth for business intelligence(BI) and machine learning(ML). Result: data availability moved from hours to real-time, unlocking governed self-service analytics and a foundation for personalization and predictions.   

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