We analyze your situation for a fraction of implementation cost.
Before committing to a full MyIO implementation, start with a targeted analysis of your demand history, inventory structure, supplier constraints and planning process. For a fraction of implementation cost, you get a realistic view of improvement potential, expected KPI impact and the most sensible rollout path.
20-50%
improvement forecasting accuracy
10-40%
reduction of stockouts
20-40%
reduction of order specialist time
10-30%
reduction of excess inventory
Focused assessment first
Analyze demand, inventory, supplier and planning data before committing to a full implementation.
Expected KPI impact
Estimate realistic improvement ranges for forecast accuracy, inventory levels, stockouts and planner workload.
Prioritized business case
Identify where MyIO should be applied first to create the strongest measurable impact.
Clear next step
Deliver a concise recommendation for scope, rollout priorities and expected business value.
Your inventory decisions are too expensive to run on averages.
MyIO combines demand forecasting, inventory visibility, order planning, smart alerts and product-level insights into one operational environment for complex supply chains.
The platform is built for companies that operate multiple warehouses, many SKUs, different currencies, supplier constraints and roles that need clear recommendations instead of another spreadsheet.
Is MyIO right for your operation?
MyIO has the strongest business case where planning complexity is already too high for manual rules.
Proof points and delivery examples.
Manufacturing
Inventory Optimization
Masoprofit is a supplier of equipment and technologies for food service, butcheries, and food production. The company manages a portfolio of more than 20,000 products, whose demand changes significantly over time and is influenced by seasonality, marketing campaigns, and discounts.
Inventory planning was primarily based on historical data and manual decision-making by buyers, which led to stockouts and inefficient inventory levels.
Manufacturing
Parcel Volume Forecasting
DPD needed to verify whether the MyIO platform could accurately forecast parcel volumes across its logistics network. The goal of the PoC was to retrospectively forecast parcel volumes for the first quarter of 2023 and validate forecast accuracy at different levels of detail.
The project worked with approximately 45 million parcels per year, and the forecast needed to cover the hierarchical structure of the logistics network — from the global level through countries and regions down to individual postcode areas.
Available on Microsoft Marketplace
MyIO is available as a transactable offer on Microsoft Marketplace, simplifying procurement and billing for enterprise customers through the Microsoft commercial marketplace.
FEATURES & architecture
FLEXIBLE BY DESIGN
MyIO runs as a standalone AI layer or integrates directly into your existing infrastructure — available as Cloud, Hybrid or On-premise deployment.
AVAILABLE FEATURES
Six product modules, a structured data-to-decision pipeline, and enterprise deployment options.
Full module detail on the platform page.
TAKE PART IN THE
TRANSFORMATION
OF SUPPLY CHAIN
Curious how MyIO can enhance your inventory optimization and demand forecasting? Connect with us to experience the solution on your data.
