Demand forecasting
Demand forecasting solutions predict future product or service demand from historical and current data. They address planning problems in inventory, production, and supply chain management caused by uncertain demand.
Data updated
Where it is used
Retail accounts for 82% of these deployments.
- RetailQuiet · 0 in the last 6 months9
- ManufacturingQuiet · 0 in the last 6 months1
- Energy & UtilitiesQuiet · 0 in the last 6 months1
What it delivers
2 deployments publish a number. The rest describe results in words, grouped below.
Cost savings
1 metric
Reduction · median and middle half−8%fewMedian reduction −8%, middle half −8% to −8%, from 1 metricOther quantified impact
1 metric
Reduction · median and middle half−20%fewMedian reduction −20%, middle half −20% to −20%, from 1 metricQuality & accuracy
1 metric
No reductions reportedIncrease · median+900%1 metric · few
Grey figures rest on fewer than 5 published metrics. Read them as examples, not as a typical result.
Results described in words
- Customer experience & trust73% of these deployments8
- New product / capability64% of these deployments7
- Better decisions & insight55% of these deployments6
- Cost efficiency36% of these deployments4
- Scale & capacity27% of these deployments3
- Speed & agility27% of these deployments3
How it is built
GCP is named in 64% of these deployments.
- Custom-built100% · 7
The build approach is known for 7 of 11 deployments (64%). The rest are left out.
Cloud providers named
- GCP7 deployments64%
- Microsoft3 deployments27%
- AWS1 deployment9%
Technologies that recur
- BigQuery 5
- Vertex AI 3
- Azure AI 2
- Google Kubernetes Engine 2
- Vertex AI Forecast 2
- Azure ML 1
- Azure Synapse Analytics 1
- Microsoft Fabric 1
Deployments over time
0 deployments in the last six full months, against 0 in the six before. Counted by publication month since Oct 2023. 3 earlier deployments are not shown.
- 5 Jul 2025RetailAustria
SPAR ICS Transforms Retail Forecasting and Supply Chain in Austria
SPAR ICS · Microsoft
SPAR ICS, the IT arm of SPAR Austria Group, implemented advanced Microsoft technologies to enhance the retail shopping experience and optimize its supply chain. A scalable and secure SPAR app was developed using Microsoft Cloud for Retail, ensuring a seamless shopping experience and robust performance during peak times. The company created an AI-enabled demand forecasting system using Azure Synapse Analytics, achieving 90 percent inventory prediction accuracy and continued excellence in performance. SPAR ICS is migrating its demand forecasting solution to Microsoft Fabric to leverage unified analytics and further boost efficiency. The success of these solutions is fueling additional plans to deploy AI productivity tools, such as Copilot for Microsoft 365, for employee enhancement. The optimized supply chain enables better inventory management, more accurate demand planning, and robust support for the organization's digital transformation initiatives. These technology upgrades position SPAR ICS as a modern retail leader in Austria with a strong foundation for future AI and analytics-driven innovations.
- 8 May 2025RetailSingapore
Vertex AI drives retail innovation in Southeast Asia's Singapore and Malaysia markets
Unnamed retail clients in Singapore and Malaysia · GCP
Niveus Solutions, a Google Cloud Premier Partner, deployed Google Cloud Vertex AI and generative AI models (PaLM, Gemini) to address retail challenges in Singapore and Malaysia. The solution enabled hyper-personalized customer experiences, predictive analytics for inventory management, and automated marketing content generation. Uses of Gen AI include automated product tagging, conversational agents, and marketing content automation across digital and physical retail channels.
- 4 Feb 2025RetailUnited Kingdom
Tesco boosts supply chain resilience and customer engagement with AI-driven operations
Tesco · Microsoft
Tesco, a leading UK grocery retailer, has integrated Microsoft Azure AI with in-house and third-party AI systems to transform multiple facets of its business. In supply chain management, AI models forecast demand by analyzing sales data, seasonality, and external factors—enabling optimal stock levels, reduced stockouts, and faster product replenishment. For customer engagement, Tesco analyzes Clubcard loyalty data to deliver deeply personalized digital and in-store promotions, improving both engagement and sales. AI also powers self-service checkouts with computer vision, cutting down errors and wait times. Together, these technologies optimize inventory, streamline operations, and personalize customer experience, driving cost savings and boosting satisfaction across Tesco’s network of stores.
- 1 Jun 2024RetailJapan
Cainz AI-powered Demand Forecasting
Cainz · GCP
Cainz, a leading Japanese home improvement retailer, implemented an AI-powered demand forecasting solution using Google Cloud Vertex AI Forecast and Cloud Run jobs to improve accuracy and reduce preprocessing time across 209 stores. The solution uses multi-horizon prediction models and explainable AI features from Vertex AI Forecast to enhance forecast precision and transparency. By employing parallel Cloud Run jobs for data preprocessing, Cainz reduced preprocessing time to a consistent 50 minutes regardless of store count, significantly improving processing scalability. Google Cloud Tech Acceleration Program (TAP) provided engineering support that helped design and refine the scalable forecasting architecture twice. The improved AI forecasting enables better inventory planning, stock replenishment, and product-demand management across Cainz's large retail network.
- 1 Mar 2024RetailIsrael
Super-Pharm optimizes ecommerce demand forecasting and merchandising with Vertex AI on Google Cloud
Super-Pharm · GCP
Super-Pharm, Israel’s leading pharmacy and beauty retailer, faced challenges in demand forecasting and inventory management due to limitations of on-premise infrastructure. The company migrated to Google Cloud and used Vertex AI for machine learning-powered demand forecasting improving accuracy from 50% to 90%. They automated product categorization using Gemini AI to optimize the ecommerce marketplace website. Improvements include 10x efficiency in demand forecasting, better inventory allocation, enhanced ecommerce user experience, and modernization of IT infrastructure. Partner WideOps supported cloud migration and Intellerts helped with AI system design and implementation.
- 1 Jan 2024RetailGermany
Tchibo: Optimizing demand forecasts with AI to match customer needs
Tchibo · GCP
Leading German retailer Tchibo built an automated forecasting service on Google Cloud to predict customer demand for its online sales channel and support warehouse replenishment. The solution helps Tchibo reduce overstock and handling effort while improving product availability and reducing stock-outs.