About SLIM
SLIM is a strategic planning and improvement software from MJC2 designed for logistics, supply chain, human resource planning, and manufacturing. It combines strategic logistics improvement, strategic supply chain improvement, and logistics network improvement so organizations can improve operational efficiency. Additionally, SLIM supports supply improvement, focusing on strategic and tactical replenishment as well as contract improvement. This software helps businesses align their resources effectively to meet demand. Key capabilities: strategic logistics improvement strategic supply chain improvement logistics network improvement supply improvement tactical replenishment Best for: enterprises that need to refine their logistics and supply chain processes.
SLIM is a powerful strategic logistics and supply chain optimization platform designed for organizations managing large, complex distribution networks. One of its biggest strengths is its ability to model entire supply chains—from factories to depots to final delivery points—using advanced optimization algorithms that minimize operational costs. The system’s GIS-driven territory planning and detailed hub simulation features provide an added layer of intelligence, enabling businesses to make informed decisions on site location, fleet requirements, staffing levels, and long-term capacity planning. The software excels at scenario testing, allowing users to compare strategic options before committing resources. Its ability to simulate inbound and outbound flows, forecast staffing needs, and identify bottlenecks makes it a valuable tool for large logistics, retail, or manufacturing enterprises aiming to streamline operations and enhance resilience. However, SLIM may present challenges for smaller organizations without strong analytics expertise. Its powerful features rely heavily on accurate data, and building large-scale models can be time-consuming and resource intensive. The system’s complexity may also require additional training or vendor support, and integration with legacy systems may demand IT intervention.
Pros & Cons
- +Provides highly accurate strategic supply chain modeling that supports large, multi-site networks with complex constraints
- +Offers powerful optimization algorithms that significantly reduce logistics and transport costs across the entire network
- +Enables long-term capacity planning that helps organizations anticipate fleet, staffing, and warehousing needs
- +Supports detailed hub and distribution centre simulation to improve throughput, workflow efficiency, and bottleneck prevention
- +Allows flexible scenario testing, enabling businesses to assess multiple strategic options before committing resources
- −Requires significant data preparation effort to deliver accurate optimization outputs
- −May be complex for smaller businesses lacking in-house analytics or planning expertise
- −Strategic modelling can be time-consuming when testing many large-scale scenarios across massive networks
- −High customization needs may increase dependence on vendor support for setup and updates
- −Advanced simulation and optimization processes may demand strong computing resources for peak performance
Features
Key features
- Strategic supply chain optimization
- Assigns products to factories, depots, and distribution centres using cost-efficient allocation
- Network location optimization
- Determines ideal locations for warehouses, depots, hubs, and production facilities
- Depot territory planning
- Automates territory allocation for depots and retail outlets using advanced mapping tools
- Supply optimization engine
- Allocates orders to suppliers by comparing price, transport cost, and constraints
- Logistics capacity planning
- Plans long-term fleet, staffing, and resource requirements based on demand forecasts
- Hub and DC simulation
- Models end-to-end hub activity to optimize staffing, throughput, and eliminate bottlenecks
- Integrated GIS analysis
- Provides demographic profiling and geographic modelling for network decisions
- Designed for large complex networks
- Handles multi-site, multi-product, high-volume distribution systems
- Easy-to-use interface
- Requires minimal training despite advanced optimization algorithms
Additional features
- Strategic product-to-factory assignment
- Allocates customer demand to the most efficient production or distribution source
- Linehaul and trunking optimization
- Builds optimal schedules and evaluates impact of new depots or hubs
- Petroleum supply chain assignment
- Matches petrol stations to terminals using transport cost and supply price
- Retail and consumer goods allocation
- Minimizes logistics cost while maintaining high service-level resilience
- Manufacturing capacity modelling
- Optimizes factory loads and logistics capacity for forecast volumes
- Territory mapping system
- Visualizes and manages complex territory design datasets
- Supplier contract optimization
- Computes optimal order volumes across suppliers with varying prices and constraints
- Daily or strategic purchasing optimization
- Recalculates ideal purchase orders based on availability and demand
- Stocking level recommendations
- Suggests min/max stock levels for RDCs and branches
- Long-term fleet planning
- Determines ideal mix of own vs contractor vehicles
- Transport contract planning
- Supports modelling of driver contracts and 3PL agreements
- Seasonality and variability modelling
- Accounts for weekly and seasonal demand patterns in resource planning
- Hub and DC process simulation
- Simulates gates, docks, sortation, picking, and loading/unloading flows
- Staff level calculation
- Determines required staffing by time of day and labour category
- Equipment utilization forecasting
- Predicts usage of site machinery and handling equipment
- Bottleneck detection
- Identifies congestion points in hubs and distribution centres
- Space and capacity planning
- Calculates floor space, dock needs, and overall DC capacity
- Contingency and peak-season modelling
- Tests resilience strategies and seasonal resource requirements
- Integrated optimization engine
- Ensures all planning constraints and business rules align with operational feasibility
- Supports multiple industry sectors
- Logistics, retail, postal, manufacturing, construction, bulk distribution
- Supports advanced research concepts
- Green logistics, synchromodality, physical internet, conflict-free routing
Pricing
Countries & Languages
Available in
Interface languages
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About SLIM
SLIM is a strategic planning and improvement software from MJC2 designed for logistics, supply chain, human resource planning, and manufacturing. It combines strategic logistics improvement, strategic supply chain improvement, and logistics network improvement so organizations can improve operational efficiency. Additionally, SLIM supports supply improvement, focusing on strategic and tactical replenishment as well as contract improvement. This software helps businesses align their resources effectively to meet demand. Key capabilities: strategic logistics improvement strategic supply chain improvement logistics network improvement supply improvement tactical replenishment Best for: enterprises that need to refine their logistics and supply chain processes.
SLIM Details
SLIM's In-App Market Place
Does SLIM have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Accepted Payment Currencies
USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CHF (CHF), CNY (¥), SEK (kr), NZD (NZ$), KRW (₩), INR (₹)
Pros & Cons
- Provides highly accurate strategic supply chain modeling that supports large, multi-site networks with complex constraints
- Offers powerful optimization algorithms that significantly reduce logistics and transport costs across the entire network
- Enables long-term capacity planning that helps organizations anticipate fleet, staffing, and warehousing needs
- Supports detailed hub and distribution centre simulation to improve throughput, workflow efficiency, and bottleneck prevention
- Allows flexible scenario testing, enabling businesses to assess multiple strategic options before committing resources
- Requires significant data preparation effort to deliver accurate optimization outputs
- May be complex for smaller businesses lacking in-house analytics or planning expertise
- Strategic modelling can be time-consuming when testing many large-scale scenarios across massive networks
- High customization needs may increase dependence on vendor support for setup and updates
- Advanced simulation and optimization processes may demand strong computing resources for peak performance
SLIM's Support Options
Email Address
recruitment@mjc2.comContact
+44 1344 760000SLIM's Alternatives
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