Automating the world’s Supply Chains

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With vertical-specific AI capabilities and universal integrations, SCAS autonomously drives operational decisions across the supply chain.
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/01 MRO/02 Raw Materials/03 Distribution/04 Reverse Logistics/05 Aftermarket

Maintenance, Repair
and Operations (MRO)

/01

MRO products are supplies utilized in the production process, but are not ultimately part of the end product.

Industrial equipment (gear motors, spare parts, valves, compressors pumps, etc.)

Consumables such as cleaning and office supplies

Computers, sensors, measuring monitoring equipment

Plant upkeep supplies (lubricants, gaskets and repair tools)

Managing inventory through Operations-Research-based optimization techniques frequently results in inaccurate inventory parameter setting, often resulting in costly delays and amplified errors.
Traditional Approach & Challenges
The importance of MRO supply chains is often magnified for asset-intensive industries like Oil & Gas, Utilities, Water Desalination, Aerospace, Airlines and select groups of complex industries such as Petrochemicals. The complexity of these supply chains increases exponentially for large organizations  managing inventory for hundreds of thousands, or even millions of unique MRO items.
Traditional management of MRO supply chains typically involves cross-departmental coordination spanning:

Maintenance Planning and Scheduling

Procurement Activities

Inventory Management

Field Maintenance Execution

/SCAS Solution
eliminating the need for separately generated consumption forecasts
autonomously running the MRO supply chain by Receiving continuous consumption data, in addition to maintenance schedules, inventory and supplier performance data
accurately generating replenishment orders for all applicable MRO supply items as well as optimizing inventory levels across all applicable warehouses
Forecasting accurate needs based on comprehensive consumption tracking represents the top challenge for MRO supply chains.
‍
Many organizations rely on inventory management systems to derive data insights but don’t have sufficient ongoing audit processes to ensure accuracy.
Having incorrect lead times, safety stock levels or re-order points generates inaccurate replenishment volumes, resulting in slow moving inventory / direct purchases, and stock-outs of critical items.
Overview
MRO products are supplies utilized in the production process, but are not ultimately part of the end product.

Industrial equipment (gear motors, spare parts, valves, compressors pumps, etc.)

Consumables such as cleaning and office supplies

Computers, sensors, measuring monitoring equipment

Plant upkeep supplies (lubricants, gaskets and repair tools)

Managing inventory through Operations-Research-based optimization techniques frequently results in inaccurate inventory parameter setting, often resulting in costly delays and amplified errors.
Traditional Approach & Challenges
The importance of MRO supply chains is often magnified for asset-intensive industries like Oil & Gas, Utilities, Water Desalination, Aerospace, Airlines and select groups of complex industries such as Petrochemicals. The complexity of these supply chains increases exponentially for large organizations  managing inventory for hundreds of thousands, or even millions of unique MRO items.
Traditional management of MRO supply chains typically involves cross-departmental coordination spanning:

Maintenance Planning and Scheduling

Procurement Activities

Inventory Management

Field Maintenance Execution

SCAS Solution
Forecasting accurate needs based on comprehensive consumption tracking represents the top challenge for MRO supply chains.
‍
Many organizations rely on inventory management systems to derive data insights but don’t have sufficient ongoing audit processes to ensure accuracy.
Having incorrect lead times, safety stock levels or re-order points generates inaccurate replenishment volumes, resulting in slow moving inventory / direct purchases, and stock-outs of critical items.
/SCAS Solution
eliminating the need for separately generated consumption forecasts
autonomously running the MRO supply chain by Receiving continuous consumption data, in addition to maintenance schedules, inventory and supplier performance data
accurately generating replenishment orders for all applicable MRO supply items as well as optimizing inventory levels across all applicable warehouses

Raw Materials

/02

Manufacturing is essentially the process of transforming raw materials into finished products through a series of steps. This makes the efficient management of raw materials inventory truly foundational to the overall success of any manufacturer.
Raw materials inventory is typically managed through Material Requirements Planning (MRP), which encompasses the production planning, scheduling, and inventory control systems used to manage manufacturing processes. MRPs usually work backwards (from a finished goods production plan) to develop requirements for components and raw materials.
Traditional Approach & Challenges
Additionally, MRP challenges include:

Labor intensive processes

Process complexity increases substantially with extensive multi-level manufacturing processes

Continuously balancing inventory levels with customer demand, supplier performance, and current events

Navigating high supply chain velocity while managing material and information flows

Manual interventions to update inventory parameter settings

Moving towards demand-driven “Build to Order” production environments to eliminate the need for forecasting

A key challenge for many planners running traditional MRP processes is generating
accurate forecasts to set intended goals. SCAS replaces manual forecasts with real time
autonomous insights & actions.
/SCAS Solution
SCAS autonomously generates replenishment orders & sets inventory levels for all applicable raw materials throughout the supply chain
Continuously incorporating customer demand, production plans, BOMs,  inventory levels and supplier performances
SCAS  replaces the traditional MRP & DRP with integrated Demand/Inventory Planning.  This allows planners to maximize the efficiency of raw materials supply chains through an almost labor-free process; minimizing operational costs and significantly improving the bottom line.
Overview
Manufacturing is essentially the process of transforming raw materials into finished products through a series of steps. This makes the efficient management of raw materials inventory truly foundational to the overall success of any manufacturer.
Raw materials inventory is typically managed through Material Requirements Planning (MRP), which encompasses the production planning, scheduling, and inventory control systems used to manage manufacturing processes. MRPs usually work backwards (from a finished goods production plan) to develop requirements for components and raw materials.
Traditional Approach & Challenges
Additionally, MRP challenges include:

Labor intensive processes

Process complexity increases substantially with extensive multi-level manufacturing processes

Continuously balancing inventory levels with customer demand, supplier performance, and current events

Navigating high supply chain velocity while managing material and information flows

Manual interventions to update inventory parameter settings

Moving towards demand-driven “Build to Order” production environments to eliminate the need for forecasting

A key challenge for any planner frequently running an MRP platform is generating accurate forecasts, which are needed for the system to meet its set intended goals.
SCAS Solution
SCAS  replaces the traditional MRP & DRP with integrated Demand/Inventory Planning.  This allows planners to maximize the efficiency of raw materials supply chains through an almost labor-free process; minimizing operational costs and significantly improving the bottom line.
/SCAS Solution
SCAS autonomously generates replenishment orders & sets inventory levels for all applicable raw materials throughout the supply chain
Continuously incorporating customer demand, production plans, BOMs,  inventory levels and supplier performances

Distribution

/03

Distribution Requirements Planning (DRP) is a systematic process to determine the optimal quantity of goods required at specific locations to meet anticipated demand.
Distribution supply chains are critical for various types of  organizations including Distributors/ Wholesalers, Retailers, Manufacturers, Healthcare, and others. The profitability of companies  running Distribution supply chains typically depends on how quickly they can turn over goods/services through effective supply chain management.
Traditional Approach & Challenges
The task of managing traditional DRP modules becomes fairly complex with larger supply chains involving millions of SKUS moving at high velocity in volatile circumstances. In that context, many Distribution challenges are related to forecasting accuracy, these include:

Traditional methods of stocktaking can result in data which is outdated and inaccurate, causing forecasting to become significantly more challenging when stock levels are difficult to monitor.

Seasonal variations in the popularity of certain items can result in over-stocking or outages, often leading to obsolescence and missed order deadlines.

Just In Time (JIT) approaches to stock management have been proven to be less than effective, creating order fulfillment delays which can result in lost sales and account cancellations.

Since most new products introduced to the market have no historical sales data, planners are typically left in the dark, which often results in guesstimate forecasting early on in the product life cycle.

/SCAS Solution
Empowers planners to replace traditional forecasting with near real-time market insights, powered by Seeloz AI
Autonomously sets / manages optimal replenishment levels across products and locations incorporating current demand, inventory status, and current / past  performance measurements
Significantly reduces costs related to carrying inventory and moving supplies
With SCAS, planners can balance demand and inventory at all times while optimizing inventory carrying costs and supply movement costs like never before.
Overview
Distribution Requirements Planning (DRP) is a systematic process to determine the optimal quantity of goods required at specific locations to meet anticipated demand.
Distribution supply chains are critical for various types of  organizations including Distributors/ Wholesalers, Retailers, Manufacturers, Healthcare, and others. The profitability of companies  running Distribution supply chains typically depends on how quickly they can turn over goods/services through effective supply chain management.
Traditional Approach & Challenges
The task of managing traditional DRP modules becomes fairly complex with larger supply chains involving millions of SKUS moving at high velocity in volatile circumstances. In that context, many Distribution challenges are related to forecasting accuracy, these include:

Traditional methods of stocktaking can result in data which is outdated and inaccurate, causing forecasting to become significantly more challenging when stock levels are difficult to monitor.

Seasonal variations in the popularity of certain items can result in over-stocking or outages, often leading to obsolescence and missed order deadlines.

Just In Time (JIT) approaches to stock management have been proven to be less than effective, creating order fulfillment delays which can result in lost sales and account cancellations.

Since most new products introduced to the market have no historical sales data, planners are typically left in the dark, which often results in guesstimate forecasting early on in the product life cycle.

SCAS Solution
With SCAS, planners can balance demand and inventory at all times while optimizing inventory carrying costs and supply movement costs like never before.
/SCAS Solution
Empowers planners to replace traditional forecasting with near real-time market insights, powered by Seeloz AI
Autonomously sets / manages optimal replenishment levels across products and locations incorporating current demand, inventory status, and current / past  performance measurements
Significantly reduces costs related to carrying inventory and moving supplies

Reverse Logistics

/04

Reverse Logistics essentially refers to a supply chain working in reverse; goods moving upstream from a buyer to a seller.
Frequent scenarios include returns from e-commerce and retail, as well as components for refurbishing and remanufacturing. After receipt, products can be resold, re-enter the supply chain as refurbished, or disposed of.
Considering that roughly 20% of everything purchased is returned, customers will return nearly $1 trillion in merchandise annually by 2027.
Traditional Approach & Challenges
The goal of an effective Reverse Logistics supply chain is to get the returning asset back to the point where it can be repurposed, repaired, or reused (with minimal cost and waste.)  To do this effectively, its critical to understand return rates across products, the cost of gathering and shipping returns, and the potential value which could be recovered.
Given that Reverse Logistics have unique complexities which are’t easily handled through current tools and automation, companies frequently end up outsourcing the work to third parties.  While less effort, this approach provides limited transparency and makes it difficult to track profitability.
In addition to leaving profits and value locked into the supply chain, this incomplete view of Reverse Logistics also limits the data that goes into forecasting efforts, further perpetuating inaccuracies.
/SCAS Solution
SCAS learns to optimize Reverse Logistics for any and all available products at a given time, Rather than trying to forecast which products will be returned
For retail environments where returned products are relatively easy to resell with minimal restocking costs, SCAS effectively accounts for returned products when autonomously setting inventory levels across various storage locations along the supply chain. This empowers retailers to maximize recouped value out of returned products.
Overview
Reverse Logistics essentially refers to a supply chain working in reverse; goods moving upstream from a buyer to a seller.
Frequent scenarios include returns from e-commerce and retail, as well as components for refurbishing and remanufacturing. After receipt, products can be resold, re-enter the supply chain as refurbished, or disposed of.
Considering that roughly 20% of everything purchased is returned, customers will return nearly $1 trillion in merchandise annually by 2027.
Traditional Approach & Challenges
The goal of an effective Reverse Logistics supply chain is to get the returning asset back to the point where it can be repurposed, repaired, or reused (with minimal cost and waste.)  To do this effectively, its critical to understand return rates across products, the cost of gathering and shipping returns, and the potential value which could be recovered.
Given that Reverse Logistics have unique complexities which are’t easily handled through current tools and automation, companies frequently end up outsourcing the work to third parties.  While less effort, this approach provides limited transparency and makes it difficult to track profitability.
In addition to leaving profits and value locked into the supply chain, this incomplete view of Reverse Logistics also limits the data that goes into forecasting efforts, further perpetuating inaccuracies.
SCAS Solution
For retail environments where returned products are relatively easy to resell with minimal restocking costs, SCAS effectively accounts for returned products when autonomously setting inventory levels across various storage locations along the supply chain. This empowers retailers to maximize recouped value out of returned products.
/SCAS Solution
SCAS learns to optimize Reverse Logistics for any and all available products at a given time, Rather than trying to forecast which products will be returned

Aftermarket

/05

Aftermarket supply chains deliver parts, repair, maintenance, and digital services for equipment or goods that have already been sold (e.g. automotive spare parts.)
To meet evolving customer service demands, CEOs at industrial OEMs are increasing their focus on Aftermarket services. In doing so, unlocking untapped value by strengthening core Aftermarket business.
Traditional Approach & Challenges
High inventory costs are frequently a critical challenge for Aftermarket supply chains. At its core, the issue usually comes down to forecasting service requirements and parts replenishments, while concurrently  optimizing spare parts inventory.
The results in a supply chain  dilemma; improving customer loyalty through high aftermarket service availability, while at the same minimizing aftermarket inventory. This makes knowing which parts (and how many of each) to keep in stock at
a given point time a complex task, especially when considering the high volume and urgent customer demands for timely Aftermarket products.
/SCAS Solution
ability to continuously incorporate high volumes or granular demand data for Aftermarket products
Spare parts usage insights across product and consumer segments
Overall customer usage insights for the products being serviced
Leveraging the AP&I AI Engine, SCAS learns potential consumption scenarios for spare parts to direct Aftermarket supply chain management activities.  This shift away from manual forecasting and towards (near) real-time inventory optimization delivers immediate ROI and ongoing longer term benefits related to production capacity and profitability.
Overview
Aftermarket supply chains deliver parts, repair, maintenance, and digital services for equipment or goods that have already been sold (e.g. automotive spare parts.)
To meet evolving customer service demands, CEOs at industrial OEMs are increasing their focus on Aftermarket services. In doing so, unlocking untapped value by strengthening core Aftermarket business.
Traditional Approach & Challenges
High inventory costs are frequently a critical challenge for Aftermarket supply chains. At its core, the issue usually comes down to forecasting service requirements and parts replenishments, while concurrently  optimizing spare parts inventory.
The results in a supply chain  dilemma; improving customer loyalty through high aftermarket service availability, while at the same minimizing aftermarket inventory. This makes knowing which parts (and how many of each) to keep in stock at
a given point time a complex task, especially when considering the high volume and urgent customer demands for timely Aftermarket products.
SCAS Solution
Leveraging the AP&I AI Engine, SCAS learns potential consumption scenarios for spare parts to direct Aftermarket supply chain management activities.  This shift away from manual forecasting and towards (near) real-time inventory optimization delivers immediate ROI and ongoing longer term benefits related to production capacity and profitability.
/SCAS Solution
ability to continuously incorporate high volumes or granular demand data for Aftermarket products
Spare parts usage insights across product and consumer segments
Overall customer usage insights for the products being serviced

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/SolutionsMRO
Raw Materials
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Reverse Logistics
Aftermarket
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