Intelligent Planning
System

Demand and Supply planning optimization with scenario planning and what-if analysis

d-one plan enables you to align all business functions, to execute with speed on one single committed plan: transparency, reliability and agility.

D-ONE drives your company’s performance to the next level

Demand management

Production and Capacity Planning

Business Intelligence:
Cockpit & Analytics

Improve forecast predictions and optimize supply chain planning efficiency with our technology core made of advanced Machine Learning algorithms.

Optimize inventory levels, reduce costs and ensure on-time delivery. Identify potential bottlenecks and prioritize orders taking into account all relevant constraints..

Enable better visibility on operations and financial forecasting. Provides intelligent insights to facilitate decision-making and unlock new opportunities.

Demand management

Improve forecast predictions and optimize supply chain planning efficiency with our technology core made of advanced Machine Learning algorithms.

Production and Capacity Planning

Optimize inventory levels, reduce costs and ensure on-time delivery. Identify potential bottlenecks and prioritize orders taking into account all relevant constraints..

Business Intelligence:
Cockpit & Analytics

Enable better visibility on operations and financial forecasting. Provides intelligent insights to facilitate decision-making and unlock new opportunities.

All the planning processes can be operated with the desired
granularity: daily, weekly and monthly

D-one capabilities are add-ons
to your ERP

They are natively integrated and allow you to develop
the factory of the future.

Demand management

Sales Forecasting with Machine Learning

Improving sales forecasting and reducing forecast error has become a strategic imperative for businesses irrespective of industry. Sales and demand Forecasting with machine learning provides the best possible system to improve forecast predictions and optimize supply chain planning automatically.

DemandSensingwithMachineLearningandAnalysis_new

Use up to 10 sophisticated AI/ML algorithms to predict the demand

By applying machine learning algorithms, we can treat very large datasets more effectively and in a fraction of the time.

Propose the best algorithm for each specific part number

Algorithm can learn and self-correct with lightning speed, quickly converging to a best-fit result

Analysis with sophisticated report, easy-to-use like Excel

Better
Forecasting

Increased
Profitability

Lower
Inventory

Increased
Service Level

Demand management

Machine Learning based forecast (use case)

It means large volumes of SKUs can be easily managed and processed with very high levels of accuracy through MAPE & Bias self-learning. The improved data means the most appropriate models can be selected and the most beneficial algorithms assigned.
Use case: we applied to B2B & B2C business. Used 2 years historical data to predict the future demand:

Calculation takes into account SKU lifecycle 4 phases & destination sales working days

Performance of prediction had been validated thru comparison of the predicted demand vs real customer orders received.

Datasets can include both internal and external sources of information (e.g. market trends, campaigns, phase in / out)

Accuracy
on B2C

MAPE
on B2C

Accuracy
on B2B

ML
Algorithms

Demand management

Demand Planning with Machine Learning (Demand Sensing)

Demand planning is the very foundation of the S&OP process. Collaborative demand planning takes reliable forecasting to the next level by also including key input from sales team.

Establish a well-functioning collaborative demand planning. Win the sales team’s buy-in to the demand planning process.

Consensus demand planning. Measure the forecast value-add (MAPE & Bias). Demand forecast based on machine learning

Demand planning: sales forecast, customer orders, Machine learning based forecast, budget, etc...

Best-in-class Optimizer

Measure the forecast value-add (mape & bias)

Better
Forecasting

Increased
Profitability

Lower
Inventory

Increased
Service Level

Production and Capacity Planning

Supply planning and optimization (S&OP)

Detailed, robust and optimized supply plans based on the latest demand insights, potential bottleneck forecasts and targeted inventory levels. The machine capacity constrained production plans take sales, inventory and operations data into account and produce reliable, efficient and transparent results in the short and long term.

Optimized production plans

Internal constraints (production line, calendar, workforce)

External constraints management (supplier capacity,...)

Visibility of capacity constraints, understand related risks that impact the plan.

Business-wide
data integration
transparency

Removes
unnecessary
activities

Better capacity
utilization

Constraints &
machine
capacity

Production and Capacity Planning

Production planning and optimization (MPS)

Concurrently plan and monitor functionality, to quickly and easily manage supply to meet expected demand, while still respecting material and capacity constraints and hitting the inventory targets. Skillfully align supply to stated demand on a weekly or daily basis.

MPSProductionPlanningandOptimization

Flexible production plan, with configurable screen layout

Scenario simulation & what-if analysis

Optimizer with multiple goals functions and configurable constraints

Multiple version for simulations, to test changes to the plan with different constraints and assess the impact.

Business-wide
data integration
transparency

Removes
unnecessary
activities

Better capacity
utilization

Constraints &
machine
capacity

Production and Capacity Planning

Inventory and shipment planning

Bult-in optimizer with multiple goals functions to improve inventory and shipment planning. Cycle times will also be enhanced with the added benefit of automatic stock projection to help manage demand and production.

InventoryAndShipmentPlanning

Inventory and shipment planning

Optimizer with multiple goals functions

Fulfilment & OTC

Stock projections based on purchased quantities, current stock levels, production and shipment

Target stock automatically optimized against demand forecast & production plan

Inventory
Reduction

Improved
cicle times

Automatic Stock
projection

Production and Capacity Planning

Rough-Cut capacity planning

RCCP is a long-term plan capacity planning tool. It’s for balancing required and available capacity. It highlights, tracks and reports potentially critical situations with aging, checks key internal capacity and analyses supplier capacity so it can be better utilized and managed.

Supplier capacity management

Critical components analysis

Critical components analysis

Critical issues classification report

Internal and external constraints checks

Highlight & track critical situations with aging

Meet the
capacity
requirement

Identify
potential critical
situations

Increase
delivery on time
performance

Production and Capacity Planning

Supplier management analysis

Easily identify and mitigate production issues caused by lack of components from suppliers by providing:

Supplier Contractual capacity management

Enable closed loop processing of feedback from suppliers if committed volumes differ from needs, leading to a management decision-making list and potential re-planning

What if analysis enabling the generation of different scenarios by simulating potential variations of contractual volume or of incoming goods from suppliers

Supplier waterfall: allows you to check the adherence between generated supplier orders and real shipments

System notifies potential critical situations such as supply loss, customers’ missing components and potential revenue loss

Identify
potential critical
situations.

Increase
delivery on time
performance

Understand
impact to
Customer

Meet the
capacity
requirement

Business Intelligence: Cockpit & Analytics

Forecast accuracy metric report

Accurate sales forecasting helps businesses figure out upcoming issues in their manufacturing and supply chains and course-correct before a problem arises. There are a number of formulas that planners can use to calculate forecast accuracy / forecast error, from the fairly simple to the quite complex. Two of the most common are MAPE and Bias.

MAPE
stands for Mean Absolute Percent Error. MAPE can be misinterpreted, so use caution in the interpretation.

Bias
refers to persistent forecast error - Bias is a component of total calculated forecast error - Bias refers to consistent under-forecasting or over-forecasting.

Comparison of MAPE & Bias by Local Family / Part Number with 3 previous months

Improve
capacity
utilization

Increase
reliability

Increase
accuracy
(MAPE, BIAS)

Business Intelligence: Cockpit & Analytics

Financial Impact, revenue and cost analysis

Linking the S&OP plan to the financial plan opens a whole new set of management opportunities and at the end of the day the Revenue Plan is important to management. Financial analysis plays a key role in producing inputs into Pre-S&OP and Executive S&OP.

Financial dashboard

Financial and business impact

Revenue forecast from shipment plan

Variances of revenue vs prior S&OP

Integrated underlying sales, inventory, and operations planning assumptions

Financials and
cashflow under
control

Sustainable
revenue growth

Monitor risks &
opportunities

Capitalise on
the economies
of scale

Business Intelligence: Cockpit & Analytics

Executive S&OP meeting summary dashboard

Key instrument to navigate the business towards its strategic objectives, facilitating better decision-making on a tactical planning horizon and balances service, cost and inventory for an improved Return On Capital Employed. Financial integration is a major step towards mature S&OP.

Dashboard, with KPI that are to be shared across functions

Financial impact of plans, integrated underlying sales, inventory, and operations planning assumptions

Variances of demand, supply and inventory plan

Scenario simulation to tackle the challenges

Visibility of capacity constraints

Align financial
and operational
plans

Understand
impact to
Customer

Simulate
multiple
scenarios

Business Intelligence: Cockpit & Analytics

What-if scenario simulation and versioning

Extraordinary easy way to create multiple versions (scenario simulation). When your production plan has been completed and checked, you can compare it against previous plans swiftly. At the end, you can finalize the plan and lunch it for the export to ERP.

Dashboard, with KPI that are to be shared across functions.

Variances of demand, supply and inventory plan.

Version comparison, scenarios simulation to tackle the challenges. Advanced Analytics.

Export data to ERP, creating independent requirements (SAP, Infor, Oracle...) – ready for MRP.

Simulate
multiple
scenarios

Understand
impact to
Customer

Constraints &
capacity
management

Business Intelligence: Cockpit & Analytics

BI KPI Dashboard and Data Visualization

Dashboard is a key instrument to focus on crucial KPI. It’s a combination of metrics & variations that’s used to convey performance as a single view, enabling informed decision-making.

Combination of well-functioning KPI widget

Look at real-time insights

Check your SIOP and MPS dashboards to have a clear idea of where your focus should be

Enable “work by exceptions”

Customizing the dashboard with the data you need to keep tracked.

Are you interested in a intelligent
planning system?