INDUSTRIAL SOLUTIONS

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    e-Commerce

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    Logistics

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    Warehousing

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    FMCG

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    Consumer Durable

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    Modern Retail

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    Cement

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    Auto Ancillary

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    High Tech

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    Pharma&Chemical

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    Food Processing

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    Glass and Steel

e-Commerce

Prominent business models in e-Commerce are the marketplace model and the inventory based model or a mix of both. Typical planning challenges of e-commerce companies and the associated planning solutions are

Facilities Location Optimizer: Determining the best location for Pickup Hubs, Fulfillment Centres, Mother Hubs and Distribution Hubs so that the supply chain costs are minimized for a given SLA.

Multi Echelon Inventory Optimizer: Determining the best place to hold inventory in a multi echelon network based on supply and demand variability, SLA, inventory carrying costs and inventory aggregation effects.

Vehicle Routing and Scheduling for Last Mile Delivery: Optimizing last mile delivery logistics using a tailor made solution for e-commerce logistics with features like delivery and pickup, multiple depot, delivery time windows, weight and volume constraints and optimization based on traffic conditions. Smartphone based real time tracking, monitoring and automated billing are also integrated with the solution.

Logistics

A comprehensive solution suite for optimizing mid range and operational logistics planning along with real time vehicle tracking and monitoring is offered for bringing in operational efficiency this core function. The various solutions are

Transportation Optimizer: A multi modal transportation optimizer, optimizes the transportation plan with load consolidation, FTL/LTL constraints and availability of rakes, containers, trucks etc.

Vehicle Router and Scheduler: 3 tailor made variants of VRS (e-Commerce logistics, home services and food distribution) cater to most of the requirements for optimizing last mile delivery and seamlessly integrate with a smartphone based tracking and monitoring system.

Container Optimization: Maximise the packing density of your container by placing the cargo optimally. Rotation, weight, size constraints can be modeled.

Warehousing

A standard warehouse planning solution should support the following five processes.

Warehouse Location: The facility location optimizer considers various costs like setup costs, fixed and variable costs and transportation costs, delivery SLA, capacity constraints etc.

Warehouse Space Forecasting: The cloud solution for space forecasting considers space requirement for both operations and storage.

Inbound-Outbound Logistics Planner:Dock scheduling: The inbound-outbound logistics scheduler takes the dock capacity, loading/unloading time and handling resource capacities into account and plans for the shortest TAT.

Slotting Optimization: Store the goods in proper slots based on their weight, size, usage frequency so that the picking time is minimized.

Picking Optimization: Generate an optimal picking sequence so that the picking time is minimized.

Fast Moving Consumer Goods

The FMCG industry is characterized by short product life cycle, perishability, low margin-high volume, high on shelf availability requirement and an extensive supply chain network.

Demand Planner: A consensus based demand planner that uses the latest industry standard alogorithms with an in-built promotion planning and NPI modules.

MEIO/Inventory Optimizer: To determine the best location for holding inventory and also the optimal inventory quantity.

Supply Network Optimizer: Procure, produce and distribute optimally so as to minimize the supply chain cost.

Facility Location Optimizer: Determine the best locations for setting up warehouses and plants.

Procurement Optimizer: For outsourced manufacturing, the procurement optimizer can help in reducing the total cost of procurement by considering volume discounts, transportation cost, lead times, supplier capacity etc..

Vehicle Route Optimizer: Minimize last mile delivery costs with a tailor made Vehicle Routing solution for replenishment planning.

Consumer Durable

The supply chains of Consumer Durable industry are characterized by short product life cycle, product cannibalization, attribute based planning, production inefficiency and dependency on import of critical raw materials.

Demand Planning: Characteristics based forecasting with the NPI and promotion planning modules make the demand planning process comprehensive.

Production Planning and Scheduling: Efficient production planning and scheduling process can help in reducing the cost of production and create visibility of bottleneck resources.

Procurement Optimizer: Procurement Optimizer can help in reducing the total cost of procurement of raw materials by considering volume discounts, transportation cost, lead times, supplier capacity etc.

Transportation Optimizer: Consolidate load across multiple locations in this multi modal transportation optimizer.

Modern Retail

Modern Retail is a high volume low margin industry that is characterized by frequent promotions, product obsolescence, on-shelf availability requirement and a large number of suppliers.

Replenishment Planner: Efficient replenishment planning is the backbone of retail operations and an integrated suite comprising of collaborative demand planning, promotion planning, NPI planning, sentiment analysis, inventory planning and procurement planning can be used.

Shift Scheduler: Allocate resources to shifts in a simple and optimal way. Most of the shift allocation rules like limiting the numbers of consecutive night shifts, minimum off time, forbidden consecutive shifts, option for double shifts etc. can be modeled.

Vehicle Routing: Minimizing transportation costs by optimally routing the delivery trucks over multiple pickup and delivery locations. Special capacity requirement like frozen zone, ambient zone, volumetric capacity etc. can also be modeled.

Cement

Cement industry is characterised by capacity surplus, seasonal demand, price distortion because of taxes, unavailability of rakes, huge transportation costs and unavailability of good quality gypsum. Some of these problems can be solved with better planning.

Demand Planning: Seasonality and trend analysis of demand using industry standard algorithms.

Supply Network Optimizer: Low cost production and distribution using supply network optimizer.

Transportation Optimizer: Better visibility of rake requirement using multi modal transportation optimizer.

Vehicle Route Optimizer: Last mile delivery planning for the RMC business by considering real time traffic conditions.

Vehicle Tracking and Monitoring: Smartphone based real time tracking and monitoring of vehicles.

Auto Ancillary

Efficient Production Planning and Scheduling is the lifeline of automotive and auto ancillary companies.

Production Planner: Mid range constrained production plan that can consider both capacity and material requirement, batch and discrete manufacturing and product setup times

Production Scheduler: Workorder level planning by considering capacity and material constraints, schedule receipts and sequence dependendent setup time.

High Tech

Demand Planning: Characteristics based forecasting with the NPI and promotion planning modules make the demand planning process comprehensive.

Supply Network Planning: Low cost production and distribution using supply network optimizer.

Procurement Planning: Procurement Optimizer can help in reducing the total cost of procurement of raw materials by considering volume discounts, transportation cost, lead times, supplier capacity etc.

Order Based Production Planning: Mid range constrained production plan that can consider both capacity and material requirement, batch and discrete manufacturing and product setup times

Pharma and Chemical

Production Planning: Process centric constrained production plan that can consider both capacity and material requirement, batch and discrete manufacturing and product setup times

Production Scheduling: Detailed planning by considering capacity and material constraints, schedule receipts and sequence dependendent setup time.

Shift Scheduling: Allocate resources to shifts in a simple and optimal way. Most of the shift allocation rules like limiting the numbers of consecutive night shifts, minimum off time, forbidden consecutive shifts, option for double shifts etc. can be modeled.

Transportation Optimizer: Consolidate load across multiple locations in this multi modal transportation optimizer.

Food Processing

Demand Planning: Integrated suite comprising of collaborative demand planning, promotion planning, NPI planning and sentiment analysis for a holistic demand planning process.

Production Planning: Product perishability, batch and discrete processes, setup time etc. can be modeled in this production planning module.

Distribution Planning: An integrated suite of Demand Planner to forecast the requirement, Inventory Optimizer to carry the right size of inventory and the Transportation Optimizer for consolidating loads and optimize the mid range plan constitute a suite for carrying out an end to end distribution planning process.

Glass and Steel

Supply Network Optimizer: Low cost production and distribution using supply network optimizer.

Production Planner: Process centric constrained production plan that can consider both capacity and material requirement, batch and discrete manufacturing and product setup times

Transportation Optimizer: Consolidate load across multiple locations in this multi modal transportation optimizer.

Container Optimizer: Maximise the packing density of your container by placing the cargo optimally. Rotation, weight, size constraints can be modeled.