Inventory management system

Automated inventory management system for production and distribution. Ensures consistent stock availability at the appropriate locations in the supply chain, in optimal quantity, and precisely when needed. Key results for the company include reduced inventory levels and a simultaneous improvement in service level

Request a presentation

Effects

We focus on current demand in operational planning, not just forecasts, which leads to improved results

40 %

Stock reduction

55 %

Lead Time reduction

99 %

OTIF Increase (On Time In Full indicator)

33 %

Sales increase on average

Minimization of costs for urgent order execution

The system is suitable for various industries

Food and Beverages

Pet Food

DIY

Chemical Industry

Pharmacology

Cosmetics

Automotive

Metal industry

Building Materials

Packaging

Household Appliances

Clothing, Footwear, Accessories

Improve business efficiency and inventory management

Dashboard

Purchase Planning

Production Planning

Distribution Management

AutoPilot

Demand Planning

Sales and Operation Planning (S&OP)

Scheduling and Execution

PowerBI Reports

General information field

for planners to manage their working day. Critical situations with stocks, orders, and overstocks are highlighted here.
Execution alerts

situations that may arise after orders are approved, such as current inventory shortages, material synchronization processes, projected stockouts, etc. To resolve them, you have to make manager decisions.
Tracking the status of the production

where the manager has the ability to see the summary of work orders in real-time: their scheduling status, quantity, time and delays.

Automatic generation of the recommended order quantity

Systematic generation of order quantities based on the "Net Flow" equation and SKU-specific inventory management policy
Auto approving

automatic approval of the system recommended quantity
The "priorities" system

allows you to easily evaluate what to focus on in the first place with the existing limitations of time, quantity, space, and capacity
Testing new inventory management models

Modeling capability: What average inventory will the system recommend if you change the cycle, minimum order, or other parameters? Prepare for a new season or promotion. How will the new supplier's work schedule affect your orders? Run the model with the new parameters of an alternative supplier or analogs. Create a new or modify an existing inventory management strategy, etc.

Inventory allocation in distribution

The system will analyze and evenly distribute the available stock from your hub to all regions/warehouses in the network, considering their consumption and existing restrictions.
The system visualizes the replenishment of the stock buffer

and tells you how much is still missing for each warehouse.

AutoPilot

The feature is dedicated to generating optimal item level settings for Buffered and Min-Max items in Intuiflow. The key user input to Auto Pilot is target Service Level by inventory classification i.e. A, B, and C items.
Demand History

Another key prerequisite for Auto Pilot to run. Based on this input, Auto Pilot runs simulations to generate the optimal buffer size recommendations that would enable you to meet your Service Level targets.

Demand Planning (Прогнозування, Прогнозирование) один скрін для 3 мов

Accuracy and Bias

The system conveniently displays the accuracy of forecasts and the level of bias from actual data. This helps users understand how precise their forecasts are and whether they tend to overestimate or underestimate indicators
Granularity and Horizon

Users can forecast at different levels of aggregation, from daily orders to annual sales planning. The system allows selecting the required level of granularity based on specific user needs.
Advantages of Forecasting

The forecasting block is valuable as it enables users to make precise forecasts at various levels of granularity and time horizons. Displaying accuracy and bias helps improve the quality of forecasts and make informed decisions considering the forecasted data.

Sales and Operations planning reports

will help you to develop tactics. Build a model of the future strategy and compare it with the operational level.
Rough Cut Capacity load chart

simulates the projected capacity load based on your forecast and the orders generated from it.
Part Simulation

tool can help you run different scenarios for a specific part. Based on your forecast or demand history, the simulation will allow you to estimate the service level, SKU shortages, and average inventory.

Real-time monitoring

of the current state of production facilities and each work order
Map your production flows

to identify bottlenecks, to synchronize, analyze, and optimize production.
Monitoring the time load of each work center and shift

You will see here what orders are going into production, how much it loads the system and how long it takes. Whether all production orders, for each of the work centers, have been taken up and completed on time.
System load graphs

that provide extensive analytics and a transparent view of production facilities, both individually and for the entire system

Analytics

Basic reports, as well as modern graphs and tables, are built based on the Power BI system, which will suit any needs of your team.
General dynamics of the inventory status

The amount of overstocks or out-of-stock and their dynamics over the period. The cost of your inventory. With the help of filters, you can drill down to the required level and localize the problem.
Dynamics of overstocks and out-of-stocks by managers

The report generated by each manager shows where and whom to focus on to achieve the desired results.
Power BI report designer

where it is possible to create a variety of tables/charts/reports, etc. by indicators such as supplier/warehouse/manager/order/stock or any other data

Here are the companies that trust inventory management automation

More details

Yuko Case Study, Motor Oils Manufacturer

There are simple answers to all complex questions. And the DDMRP methodology is understandable for both managers and executives

Dmitry Vasiliev,

Chief Financial Officer

Monomakh Case study, Tea and Coffee Manufacturer

DDMRP has simplified inventory management. This was possible thanks to a team of like-minded people who are not afraid of changes.

Volodymyr Ropalo,

Deputy Director of Production Logistics

Fast Pack Case Study, Fastening Systems Manufacturer

We chose DDMRP because this methodology incorporates the best practices of global supply chain management, which is united by the innovation block.

Irina Yurchenko,

Head of Procurement Department

Results of clients

Case “Kormotech” • Pet Food

After INTUIFLOW implementation, the planning process became more predictable and the supply chain more transparent. It’s like a control board, where everything is always clear and available.

40

%

increase in production

45

%

reduction in finished goods inventory

40

%

increase in sales with unchanged levels of total inventory
Case “FastPack” • Fasteners for DIY

ABM Cloud impressed us by using a mix of state-of-the-art business management tools.

20

%

reduction in inventory

6

%

increase in OTIF, despite a 30% increase in lead-time of suppliers and a decrease in their service level

Automated inventory management
Case “YUKO” • Automotive

In distribution, the size of the inventory did not seem excessive, but given the effective result of the methodology implementation in production, there were positive expectations for the system implementation in regional offices.

2 Times

reduction in inventory in the first 4 months

60

%

increase in sales

25

%

eduction of overstocks
Case “Monomakh” • Coffee and Tea Production

DDMRP has simplified inventory management. This was possible thanks to the team of like-minded people who are not afraid of changes.

59

%

increase in sales with unchanged stocks

40

%

reduction in overstocks

Orders for suppliers and production are automated
Case “VAMP” • Automotive Chemicals

DDMRP is a systemic approach to purchasing, storing, and profiting
from non-capital assets. By applying
the methodology and following the recommendations, we managed
to halve the lead time of our customers’ orders

30

%

reduced customer order fulfillment time

28

%

improving turnover by increasing sales

Optimizing supplier order management
Case “ROSA” • Art Materials

Intuiflow has many planning options for SKUs, and different replenishment strategies depending on each SKU’s demand stability and variability

30

%

decreased overstocks

2 Times

reduction production lead time

45

%

SKUs in the red zone decreased

View all the cases

How is the system implemented?

Express diagnostics

Business Process Diagnosis and Data Collection:

Analysis of current business processes. Identification and collection of data to comprehensively cover existing business processes, including information on logistics, warehouse accounting, and inventory management.

Project Framework and Goals Analysis:

Evaluation of the alignment of current business processes with the set framework and goals of the Intuiflow implementation project.

Identification of Missing Data:

Identification of data gaps necessary for effective implementation of inventory management system and documentation for subsequent resolution.

Data Formalization and Update in Accounting System:

Standardization of obtained data for easy integration. Update of outdated data and preparation for integration into the new system.

Training

Team Identification:

Identification of project participants, including representatives from logistics, procurement, and inventory management departments.

Training Planning:

Establishment of optimal timelines for completing the DDMRP methodology course.

Internal Communication:

Development of an internal communication strategy to facilitate effective knowledge and experience exchange among team members.

Basic Understanding of Methodology:

Completion of the certified DDMRP methodology course by the project team.

Implementing the system

Integration Setup:

Execution of the integration process between Intuiflow and the accounting system for efficient data exchange.

Data Preparation and Functionality Testing:

Verification of test data to ensure the system's proper functioning. Assessment of Intuiflow's performance and functionality in real conditions, with adjustments to settings as needed.

Industrial Exploitation:

Implementation of the system into operational processes with regular inventory planning sessions, including analysis and correction of system suggestions.

Settings Optimization:

Collaboration with the team to optimize system settings and parameters for maximum efficiency aligned with business goals.

Support

Technical Support:

Continuous customer support, addressing technical issues and ensuring system reliability. Recommendations on using Intuiflow functionalities to achieve specific business goals.

KPI Monitoring:

Systematic monitoring of KPIs to evaluate system performance and achieve customer business goals. Regular reporting and analysis to identify potential improvements.

Planners' Work Analysis:

Conducting an analysis of inventory planning effectiveness, evaluating forecast accuracy, order optimality, and other parameters for continuous process improvement.

System Update Training:

Providing training to client employees on system updates. Ensuring understanding and confidence in using the latest product versions.