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Retail

Driving next-generation retail operations with intelligent, customer-centric AI systems.

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Introducing AI in Retail

Retailers today operate under growing pressure: tighter margins, rising costs, shifting customer expectations, and increasingly complex product and content pipelines. Even with large volumes of data, from supply chain telemetry to omnichannel behaviour, many decisions still rely on manual judgment and inconsistent processes. This creates slow reactions, missed opportunities, and operational friction.

Over the past eight years, ADSP has partnered with leading global retailers, FMCG organisations, and digital product teams to deploy bespoke, production-grade AI systems that improve decision-making, accelerate operations, and deliver personalised customer experiences at scale. Our work spans demand forecasting, merchandising optimisation, generative content workflows, product discovery, and multi-market localisation. By embedding AI agents into everyday workflows, retailers can improve accuracy, reduce manual effort, and unlock new commercial opportunities. These capabilities now shape these core retail processes where AI delivers the greatest operational and commercial impact:
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Executive Opinion

How will AI reshape modern retail operations?

"AI’s greatest impact in retail isn’t just automation, it’s decision quality. Retailers must constantly determine optimal stock allocation, generate on-brand creative assets, respond to operational queries, and prioritise store-level actions. Each of these choices seems small, but together they compound into major commercial outcomes. AI agents enhance these decisions by providing grounded, real-time intelligence tailored to each team and channel. Retailers that embed AI into their operating rhythm are already outperforming competitors who rely on intuition and manual processes alone."

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Denisa Apetroaei

Lead Software Engineer, ADSP

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AI Agents for Retail

Store and Demand Intelligence

AI systems that optimise replenishment, distribution, and store-level decision-making.

Key Agents:

πŸ’  Demand Forecasting Agent: Predicts SKU-level demand across stores, regions, and channels. πŸ’  Replenishment Optimiser: Recommends stock movements based on velocity, ageing, and promotion uplift. πŸ’  Pricing and Promotion Assistant: Recommends optimal price points and promotion windows.

AI interface forecasting SKU-level demand with charts showing store trends, stock movement suggestions, and pricing optimisation across a retail floor.

Supply Chain and Inventory Management

AI agents that stabilise availability, reduce waste, and improve forecasting accuracy across the supply chain.

Key Agents:

πŸ’  Inventory Optimisation Agent: Determines optimal stock levels across stores and distribution centers. πŸ’  Anomaly Detection Agent: Flags unusual Point of Sales (POS), returns, or delivery patterns.

Realistic warehouse and logistics scene with AI overlays highlighting stock levels, inventory flow, and anomaly alerts across distribution routes.

Product Content and Creative Automation

AI systems that generate, enhance, and manage product content at scale, accelerating digital shelf performance.

Key Agents:

πŸ’  Generative Product Imaging Agent: Creates photorealistic product imagery using controlled backgrounds and lighting. πŸ’  AI Copy and Attribute Builder: Generates titles, bullet points, and SEO-ready product descriptions.

πŸ’  Brand Translation Agent: Produces multilingual content that maintains brand tone and visual identity.

AI system generating product images, titles, and descriptions, with visual panels showing automated copywriting, image enhancement, and multilingual output.

Customer Experience

AI agents that power personalised discovery, service automation, and omnichannel engagement.

Key Agents:

πŸ’  Personalised Recommendation Agent: Suggests products based on behaviour and context. πŸ’  Customer Inquiry Assistant: Answers product questions and store/service queries.

πŸ’  Churn and Loyalty Predictor: Identifies at-risk customers and recommends retention levers.

Retail customer browsing on mobile with AI-driven product recommendations, automated Q&A responses, and churn-risk insights displayed as on-screen overlays.

Operational Workflow Automation

Multi-modal AI agents that process tickets, emails, and requests β€” removing manual load from store and ecommerce teams.

Key Agents:

πŸ’  Store Ops Assistant: Handles routine operational tasks such as stock checks, store queries, and shift changes. πŸ’  Order and Exception Handling Agent: Extracts, validates, and routes ecommerce order issues or customer requests.

Store back-office environment with AI panels automating stock checks, routing order exceptions, and handling routine store operations.

Data, Reporting and Decision Intelligence

Agents that unify retail data sources and deliver decision-ready insights.

Key Agents:

πŸ’  SQL Reporting Agent: Retrieves KPIs and builds dashboards automatically. πŸ’  Vector Search Agent: Searches long documents, guidelines, and product archives. πŸ’  Insight Generation Agent: Summarises trends, anomalies, and KPIs for leaders.

Dashboard-style interface showing AI running SQL queries, searching long documents, and generating concise trend and KPI summaries.

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