FMCG

FMCG data solutions: analytics, machine learning and MLOps

DS Stream builds FMCG data solutions that automate data flows from sales, logistics and other sources. They retrain models in real time for demand forecasting and support inventory management and personalized marketing. Senior teams have delivered advanced analytics for FMCG companies since 2017, using a technology-agnostic approach.

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Key takeaways

FMCG companies face high demand volatility, short product life cycles and complex supply chains.
DS Stream uses machine learning to automate data flows from sales, logistics and other sources and to retrain models in real time for dynamic demand forecasting.
DS Stream has delivered advanced analytics in FMCG since 2017, for both large and smaller companies.
DS Stream engineers have over 10 years of experience in Machine Learning, Data Science and GenAI with FMCG clients.
DS Stream data consultants are technology agnostic: they run workshops and recommend only the tools a business actually needs.
Lorenz Polska worked with DS Stream to improve its category management processes with advanced analytics.

Why is demand planning so hard for FMCG companies?

FMCG demand planning is hard because three pressures stack up. Demand changes fast, products have short life cycles, and supply chains are complex. Data that drives planning sits in separate sources, such as sales and logistics. Without automated data flows and models that update often, forecasts age quickly and inventory drifts out of balance.

Typical symptoms in FMCG:

High demand volatility across products and channels
Short product life cycles that leave little history for forecasting
Complex supply chains with many handoffs
Stockouts and overstock at the same time
Marketing that is hard to personalize at scale

How does machine learning change FMCG supply chain and sales decisions?

Machine learning lets FMCG teams analyze large volumes of data in real time. DS Stream automates data flows from sales, logistics and other sources, then retrains models in real time for dynamic demand forecasting. The result is more accurate demand prediction, fewer stockouts and overstock situations, and better coordination across the supply chain.

What this supports

Dynamic sales forecasting and demand prediction
Inventory management that reacts to demand changes
Personalized marketing at scale
Data-driven decisions on revenue and operational cost

Where generative AI fits

Generative AI creates new content, designs or data similar to existing datasets. In FMCG it can help with product development, for example new product ideas, packaging designs and marketing content. See Generative AI for Product Innovation & Development.

What can advanced analytics do for category management?

Advanced analytics gives category managers a faster, more precise basis for decisions. For Lorenz Polska, DS Stream applied analytics to category management. According to Sandra Lemańska, Category Manager at Lorenz Polska, DS Stream improved the efficiency of their category management processes and the precision of business decisions, delivering measurable sales growth.

Read the full story: Transforming Category Management with Advanced Analytics for Lorenz Polska.

Related offerings: Category Management Analysis and Category Management Platform.

FMCG solutions

Advanced data solutions for FMCG

Data Engineering

Turns disparate data from sales, logistics and other sources into knowledge for better-informed business decisions.

MLOps

Combines ML with DevOps practices and automates ML workflows, on your infrastructure or in the cloud.

AI Engineering

Custom AI and Generative AI tools, plus support for AI-driven business decisions.

Sales Forecasting

Demand forecasting with models retrained as new sales and logistics data arrives.

Category Management Analysis

Analytics for category decisions, as delivered for Lorenz Polska.

Promotion Analytics

Analytics for promotion decisions in CPG and retail.

Shelf & Space Optimization Analytics

Analytics for shelf and space decisions in CPG and retail.

Cloud Migration

Moving data pipelines and platforms to the cloud, as in our CPG migrations to Google Cloud.

Results

FMCG case studies

Lorenz Polska

FMCG

DS Stream in FMCG at a glance

2017
The year DS Stream started delivering advanced analytics for FMCG companies.
Source: DS Stream FMCG page
10+ years
Experience of DS Stream engineers in Machine Learning, Data Science and GenAI with FMCG clients.
Source: DS Stream FMCG page
4 hours
Response time to contact inquiries on working days (Mon-Fri, 9am-5pm CET).
Source: DS Stream FMCG page

FMCG FAQ

How does an FMCG data project with DS Stream start?

You send a short intro through the contact form. Our team replies within 4 hours on working days (Mon-Fri, 9am-5pm CET). In a first meeting we discuss your challenges, market and project. Our data experts then propose a tailored solution, and we sign a contract that describes all work and duties for a defined time.

How long does it take to implement an FMCG data solution?

The timeline depends on the scope and complexity of the project. After the initial consultation and an assessment of your needs, DS Stream prepares a detailed proposal with a projected timeline. The contract then describes the work and duties to be completed within that agreed time.

Does DS Stream work with small and medium-sized FMCG companies?

Yes. DS Stream works with both large and smaller FMCG companies. For small and medium-sized businesses, we offer customized, scalable solutions built around their specific needs, so they can use advanced data analytics and AI to grow and compete.

Which technologies does DS Stream use for FMCG projects?

DS Stream follows a technology-agnostic approach. Our data consultants run workshops and recommend the tools your business actually needs, not a fixed stack. Our FMCG case studies include migrations to Google Cloud, MLOps platforms across multiple cloud platforms and a metadata-driven data lakehouse on Azure.

How does DS Stream protect FMCG data and stay compliant?

DS Stream treats data security as a priority and follows relevant regulations, such as GDPR. Our team applies encryption, secure authentication and regular security audits, and follows industry best practices to protect your data at every stage of the engagement.

Do you support FMCG solutions after delivery?

Yes. After the work is completed, DS Stream offers comprehensive maintenance services, so your data pipelines, models and analytics keep running. Support continues beyond the initial delivery rather than ending at handover.

Send us a short intro about your FMCG challenge. We reply within 4 hours on working days and set up a meeting to review your data, market and possible solutions.

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