Customer Stories

A Consumer Products Company

→ Like many of its competitors, ConsumerCo is seeking to move closer to its customers and achieve service level excellence without skyrocketing inventories.

Absolut

→ Absolut was rapidly growing, causing complexities to surface. With forecasting and production planning being performed by one planner, they needed the help of SO99+.

ADI

→ ADI faced an ambitious project to transform its entire logistics network. Using the ToolsGroup solution, the company dramatically improved the performance of its supply chain.

Alessi

→ Alessi needed a planning process to guarantee product availability and consistently fill orders in a timely manner – a stock-mix optimization process.

Allopneus

→ Allopneus.com Optimizes Inventory and Improves Competitiveness with ToolsGroup.

Amara

→ Amara, facing a challenging MRO environment, sought to reduce MRO inventory and stock obsolescence while improving customer service levels. These goals were achieved with SO99+.

Amplifon

→ Amplifon manages a highly complex extended supply chain. Gradually, they lost full oversight of their inventory. With SO99+, we helped them gain complete visibility again.

Ansaldo Energia

→ Ansaldo Spare Parts Service team was faced with an increasingly competitive market and changing business environment. We helped them avoid late deliveries and unpredictable emergencies.

Aston Martin

→ The new demands posed by Aston Martin’s international client base prompted their board to raise targets for first-time availability by 2% without raising inventory.

Bellota

→ Bellota’s supply chain was challenged with increasing SKUs. To improve performance, they introduced a new KPI: availability rate. Now it needed a tool to deliver it.

Boise

→ Boise struggled with long transit times and idle inventory. Their goal? Reducing stock by 10% while improving on-time delivery. With SO99+, these goals were accomplished.

BP Castrol

→ The BP Castrol team was faced with reactive supply chains caused by inaccurate, incomplete and unreliable forecasts. The goal was improving KPI’s and increasing service levels.

Cipla Medpro

→ Cipla Medpro found it increasingly difficult to maintain forecast accuracy, but now has an automated and reliable supply chain.

Delphi Technologies

→ Delphi’s supply chain team was under pressure to lower inventory and achieve high service levels. Within a few months, their process was revamped.

ECommerce Home Goods Retailer

→ It was taking this Internet retailer roughly 100 hours to create a forecast and replenishment orders. Thanks to us, this is no longer the case.

Eurofred

→ Eurofred was challenged with planning and optimizing its complex supply chain in order to improve customer service levels and manage stock levels.

Franke

→ Franke’s tremendous growth resulted in a complex, non-optimal supply chain network. ToolsGroup’s probability—based forecasting made a huge difference for the company.

Garden Planter Co.

→ This decorative garden company experienced an unsustainable inventory increase . We helped reduce their obsolescence and inventory by 30%.

Global Eyewear Co.

→ This company had the challenge of intelligently managing inventory to maintain high service levels but avoid excess stock, so they sought the help of SO99+.

Granarolo

→ Granarolo required optimized inventory management and complete visibility in an environment characterized by short shelf life and promotional pressures.

Grupo Gallo

→ Gallo was faced with a changing business environment, both internally and externally. They concluded that it was time for their supply chain to undergo change.

Gruppo Giovannini

→ The electronics distribution business is competitive and Gruppo Giovannini needed to make optimal trade-offs between working capital and service levels.

Harrington

→ Harrington Plastics ditches forecasting guesswork and improves network integration and visibility.

Hero

→ Hero Spain faced the challenge of achieving substantial and sustained improvements in its supply chain KPIs, product availability, average stock levels and forecast accuracy.

Höganäs

→ Hoganas’s demand varied heavily by location so their management team decided to migrate into a more reliable system with a goal of decreasing inventory by 10%.

Kronans Apotek

→ Kronans Apotek’s could not properly manage varying seasonal patterns, frequent product replacements and new pharmacy launches. SO99+ came to the rescue.

Lennox

→ Lennox Residential Heating and Cooling faced the challenge of managing a North American distribution network enlargement while simultaneously transitioning to a hub-and-spoke model.

Lubinski

→ Lubinski faced a challenging environment of managing over 20K slow moving items in their warehouse. With the help of SO99+, they saw decreased stock and more.

Melitta

→ Melitta needed a solution to support their sales and operations planning process to see more efficient management and increased statistical forecast accuracy.

Mitsubishi Electric

→ Mitsubishi Electric Europe needed to get inventory levels back under control. The company was seeking to reduce inventory while achieving equal or higher service levels.

Mohawk

→ Mohawk’s SO99+ deployment supports collaborative goal-setting and decision-making by giving players a transparent view of trustworthy data.

Moleskine

→ Moleskine had to manage supply chain planning across increasing brand complexity. They needed a demand forecasting tool that would increase service levels and reduce working capital.

Multi-National Coffee Bar Company

→ This company’s real-time sales data wasn’t being used for replenishment. Because there was no system in place, the team relied on manual spreadsheet based estimates.

Multi-national Food Company

→ Multi-national food company needed a reliable forecasting tool capable of predicting lift to baseline demand from trade promotions and media events. SO99+ came to the rescue.

NHS

→ NHS was functioning off a sub-optimal process that could not respond to the future needs of its customers. SO99+ reduced their delivery cost and waste.

Nordic Food Company

→ The company struggled to balance the conflicting demands of high availability and capital tied to inventory. They turned to ToolsGroup Demand Planning and Inventory Optimization.

O2

→ Since 2013, O2’s inventory had been growing by 60 percent annually, driven by constant technological advances, new device manufacturers and a movement into new product markets. Crucially, the relationship O2’s customers have with their phone has changed - it’s become the remote control of their lives. This means their expectations in the level of service they receive has also changed as well. In this era of rapid evolution, O2 recognized the need to evolve the way it does business and the systems that support it.

Piaggio

→ Piaggio was faced with an abundance of backorders and was dealing with a high level of dead stock. With SO99+, their service level improved to 90+%.

Pilkington Automotive (NSG Group)

→ Pilkington Automotive was faced with unpredictable demand, increasing SKUs and a diverse range of customers. This drove them to build a more competitive supply chain.

Polaris

→ Polaris's powersports supply chain is full speed ahead with automated planning.

Pompea

→ Pompea’s business became increasingly complex and it was challenged to build the right inventory. Their labor-intensive process was no longer cutting it. Something needed to change.

RAJA

→ Rajapack was challenged by high-value slow movers, difficulty in monitoring behavior of 4,000+ products, service level instability and stock-out penalties. That's where we came in.

Ratioform

→ 90% of Ratioform's inventory items were in the long-tail making it hard to balance costs with service level . SO99+ came to the rescue.

Repsol

→ Repsol wanted to start a project to improve product service levels and knew it would not be easy, that’s where we came in.

Shamir Optical

→ For a company that makes eyeglass lenses, Shamir Optical had a visibility problem – at least when it came to inventory. That’s why we stepped in.

SKF

→ Digital transformation is tough for any firm, but very tough for a $9 billion industrial manufacturer. SKF is currently on a journey towards this transformation.

Spar Gran Canaria

→ Spar Gran Canaria faced new direct to POS distribution restrictions from suppliers trying to contain costs and needed to change its stock planning process.

Sports Car Co.

→ Sports car company’s management set a challenging target of raising the spare parts service level from 70% to 90% in two years, without increasing inventory levels.

Thule

→ Highly seasonal and intermittent demand drove the company to seek a centralized, automated solution to combat plummeting planner productivity and service levels that dipped below 80%.

McDonald’s Mesoamérica →