AI Demand Forecasting

Problem and implemented solution

In today’s fast-paced market, the ability to predict future sales accurately and swiftly is not just an advantage — it’s a necessity. These forecasts are the backbone of strategic planning and essential for effective business management. Traditionally, achieving high-quality forecasts required considering a maze of internal and external factors, leading to complex calculations and skyrocketing labour costs. AI.Demand Forecasting automates the forecasting process. Our solution implies developing a custom artificial intelligence model based on customer data and external sources. By harnessing the power of these insights, AI.Demand Forecasting not only enhances forecasting accuracy but also significantly reduces the costs associated with traditional methods. In unpredictable markets, many companies resort to overstocking, resulting in wasted resources and lost revenue. Others play it safe by under-stocking, which can leave them unable to meet customer demand and miss out on potential sales. Through better prediction capabilities, AI.Demand Forecasting allows companies to replenish inventory in line with sales expectations, minimizing the risks of both overstock and understock. This means fewer write-offs and maximized revenue.

Russia
Nomination

Artificial Intelligence And Digital Services

Topic

Artificial intelligence

Estimated duration of implementation

From 2 to 4 months

Implementation geography

Russia, Belarus, Kazakhstan, Armenia, India, Brasil, China, South Africa

Description of competitive advantages

1. SaaS and on-premises deployment options 2. Tailored AI model development to align with the customer's requirements 3. Non-standard forecasting methods for predicting corrosion, disease, yield, and more

List of awards and prizes, media articles about the organization/individual or the Practice

1. https://www.cnews.ru/news/line/2023-06-22_ii-model_sbera_pomogaet, 2. https://www.cnews.ru/news/line/2024-09-12_ii-model_sberbanka_prognoziruet, 3. https://sber.pro/publication/prediktivnaya-analitika-instrukcziya-po-primeneniyu-ii-pri-prognozirovanii/, 4. https://iot.ru/monitoring/sber-nauchil-iskusstvennyy-intellekt-prognozirovat-spros-dlya-proizvoditeley-i-riteyla

List of scientific works and IP connected with the Practice

N.A.

Contacts

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Partners

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