Solutions

Scroll over the images below to find out more about our solutions for your business.

Demand Forecasting technology provides a self adaptive algorithm that automatically generates a reliable baseline forecast for every SKU Location. Considering numerous factors like variability, daily/weekly and seasonality profiles, promotions, exceptional demand, calendars, etc.

DEMAND FORECASTING & PLANNING

Considering past promotional behaviour and its attributes, the ability to predict future promotional behaviour with similar attributes and the effect it has on your forecast. SO99+ then manages the required inventory throughout the supply chain for that promotion.

PROMOTIONAL PLANNING

The Demand Collaboration Hub (DCH) is a web-based consensus forecasting platform that brings together demand and forecast data from multiple sources and stakeholders, allowing service goals to integrate inline with procurement, production, working capital and any supply chain constraints.

DEMAND COLLABORATION

Right sizing of inventory at each location in the network considering downstream demand, customer demand and reliability of supply.

MULTI-ECHELON INVENTORY OPTIMISATION

Time-phased replenishment planning being either purchase orders, distribution or works orders (production orders). Considering multiple supply chain constraints for example, lead times, minimum order quantities, supplier calendars etc.

REPLENISHMENT PLANNING

Time-phased master production schedule, considering constraints like capacity (RCCP), BOM source availability and production shut down calendars.

PRODUCTION PLANNING

The best buy plan, considering minimum order quantities per item and minimum order constraints (weight, cost, etc.) across all items from the supplier.

MINIMUM SUPPLIER CONSTRAINTS

Bridging the gap between sales, operational and the financial plan, versus the ability to execute against that plan.

SALES & OPERATIONAL PLANNING

Product behaviours of new, growth, maturing or declining differ for every product at every location. Automation of required inventory policies for each behaviour pattern per product to achieve the business objectives.

DYNAMIC INVENTORY POLICIES

Automatic review of a product’s performance at any product hierarchy level (category, family or global), versus the behaviour of the same product at each location.

RANGE REVIEW

KPI’s delivered daily across service standards, lost sales, surplus inventory, actual versus required stock etc.

KEY PERFORMANCE INDICATORS

Have you ever been in a meeting where you cannot work out why things went wrong? The ability to go back in time and verify what was planned versus what was actually achieved.

THE SHENANIGISER

ToolsGroup’s Demand Forecasting technology provides a self adaptive algorithm that automatically generates a reliable baseline forecast for every SKU Location. Considering numerous factors like variability, daily/weekly and seasonality profiles, promotions, exceptional demand, calendars, etc.

DEMAND FORECASTING & PLANNING

Considering past promotional behaviour and its attributes, the ability to predict future promotional behaviour with similar attributes and the effect it has on your forecast. SO99+ then manages the required inventory throughout the supply chain for that promotion.

PROMOTIONAL PLANNING

ToolsGroup’s S099+ Demand Collaboration Hub (DCH) is a web-based consensus forecasting platform that brings together demand and forecast data from multiple sources and stakeholders, allowing service goals to integrate inline with procurement, production, working capital and any supply chain constraints.

DEMAND COLLABORATION

Right sizing of inventory at each location in the network considering downstream demand, customer demand and reliability of supply.

MULTI-ECHELON INVENTORY OPTIMISATION

Time-phased replenishment planning being either purchase orders, distribution or works orders (production orders). Considering multiple supply chain constraints for example, lead times, minimum order quantities, supplier calendars etc.

REPLENISHMENT PLANNING

Time-phased master production schedule, considering constraints like capacity (RCCP), BOM source availability and production shut down calendars.

PRODUCTION PLANNING

The best buy plan, considering minimum order quantities per item and minimum order constraints (weight, cost, etc.) across all items from the supplier.

MINIMUM SUPPLIER CONSTRAINTS

Bridging the gap between sales, operational and the financial plan, versus the ability to execute against that plan.

SALES & OPERATIONAL PLANNING

Product behaviours of new, growth, maturing or declining differ for every product at every location. Automation of required inventory policies for each behaviour pattern per product to achieve the business objectives.

DYNAMIC INVENTORY POLICIES

Automatic review of a product’s performance at any product hierarchy level (category, family or global), versus the behaviour of the same product at each location.

RANGE REVIEW

KPI’s delivered daily across service standards, lost sales, surplus inventory, actual versus required stock etc.

KEY PERFORMANCE INDICATORS

Have you ever been in a meeting where you cannot work out why things went wrong? The ability to go back in time and verify what was planned versus what was actually achieved.

THE SHENANIGISER

Local Customers on our Managed Planning Services