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Published on
July 7, 2026
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Scale Makes Manual Analysis Impossible
Our customer manages one of the most complex supply chains in the world — over 2,000 suppliers across 50+ countries, more than 500 stores across 60+ markets, and millions of potential sourcing and flow combinations at any given time. Daily decision-making is distributed across thousands of people, in dozens of markets.
The scale makes manual analysis impossible. Take a single replenishment decision for one product:
The cheapest option in isolation might be a direct container shipment from supplier to store — but that could leave a store sitting on years of excess stock. Route through a distribution center and you gain flexibility but add handling costs. Or consolidate shipments from multiple suppliers in the same region and unlock network synergies that no individual calculation could surface. Now multiply that across thousands of SKUs, hundreds of stores, and 60+ markets — and the combinations become impossible to evaluate without optimization.
Without a shared platform, decisions were made in silos. Individual planners lacked visibility into the broader network, leaving blind spots in every calculation and value on the table across the supply chain.
One Data Foundation and Design Platform for Decisions at Every Level
The retailer partnered with Optilogic to build one data and design platform — the backbone for supply chain design decisions at every level of the organization.
The foundation is clean, governed, model-ready data that is always available. The retailer maintains a single source of truth across the network, with a replicable modeling process that can be reused and extended without starting from scratch. This is what makes always-on supply chain design possible.
On top of that foundation, the retailer deployed six Optilogic apps — each purpose-built to put optimized answers directly in the hands of the people who need them, without requiring them to be supply chain modelers. The apps cover:
A planner selects a region, sets parameters, and clicks run. Optilogic handles the optimization in the background — evaluating every product, every supplier, every mode, and every applicable business rule — and returns the globally optimal answer in a fraction of the time it would take manually.
A lean team of 18 people maintains the models, manages data, and governs the guardrails that make self-service optimization safe at scale. The 2,000+ users running scenarios every day never need to see what’s running underneath.
A Small Team with Massive Scale
The retailer’s 2,000+ users now run more than 20,000 optimization scenarios per month for connected, optimized decision-making at scale.
The speed alone is transformative. Decisions that previously took weeks or months — gathering data, aligning assumptions, building models, and analyzing scenarios — now take days or even hours. Frequently requested scenarios are automated and generated without manual effort, freeing the team to focus on analysis rather than model-building.
The team can now test theories in the digital model before committing real-world resources — exploring more alternatives and arriving at decisions with confidence because the trade-offs have already been stress-tested at scale.
The platform has also grown in scope over time. What started as cost minimization has evolved into profit maximization: bringing revenues, fixed costs, sales potential, and ROI into the model alongside traditional logistics costs. The team can now evaluate geographic expansion, new store formats, and digital versus physical channel trade-offs with a complete financial picture rather than a partial one.
Scale Makes Manual Analysis Impossible
Our customer manages one of the most complex supply chains in the world — over 2,000 suppliers across 50+ countries, more than 500 stores across 60+ markets, and millions of potential sourcing and flow combinations at any given time. Daily decision-making is distributed across thousands of people, in dozens of markets.
The scale makes manual analysis impossible. Take a single replenishment decision for one product:
The cheapest option in isolation might be a direct container shipment from supplier to store — but that could leave a store sitting on years of excess stock. Route through a distribution center and you gain flexibility but add handling costs. Or consolidate shipments from multiple suppliers in the same region and unlock network synergies that no individual calculation could surface. Now multiply that across thousands of SKUs, hundreds of stores, and 60+ markets — and the combinations become impossible to evaluate without optimization.
Without a shared platform, decisions were made in silos. Individual planners lacked visibility into the broader network, leaving blind spots in every calculation and value on the table across the supply chain.
One Data Foundation and Design Platform for Decisions at Every Level
The retailer partnered with Optilogic to build one data and design platform — the backbone for supply chain design decisions at every level of the organization.
The foundation is clean, governed, model-ready data that is always available. The retailer maintains a single source of truth across the network, with a replicable modeling process that can be reused and extended without starting from scratch. This is what makes always-on supply chain design possible.
On top of that foundation, the retailer deployed six Optilogic apps — each purpose-built to put optimized answers directly in the hands of the people who need them, without requiring them to be supply chain modelers. The apps cover:
A planner selects a region, sets parameters, and clicks run. Optilogic handles the optimization in the background — evaluating every product, every supplier, every mode, and every applicable business rule — and returns the globally optimal answer in a fraction of the time it would take manually.
A lean team of 18 people maintains the models, manages data, and governs the guardrails that make self-service optimization safe at scale. The 2,000+ users running scenarios every day never need to see what’s running underneath.
A Small Team with Massive Scale
The retailer’s 2,000+ users now run more than 20,000 optimization scenarios per month for connected, optimized decision-making at scale.
The speed alone is transformative. Decisions that previously took weeks or months — gathering data, aligning assumptions, building models, and analyzing scenarios — now take days or even hours. Frequently requested scenarios are automated and generated without manual effort, freeing the team to focus on analysis rather than model-building.
The team can now test theories in the digital model before committing real-world resources — exploring more alternatives and arriving at decisions with confidence because the trade-offs have already been stress-tested at scale.
The platform has also grown in scope over time. What started as cost minimization has evolved into profit maximization: bringing revenues, fixed costs, sales potential, and ROI into the model alongside traditional logistics costs. The team can now evaluate geographic expansion, new store formats, and digital versus physical channel trade-offs with a complete financial picture rather than a partial one.
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