Partnership combines Slimstock’s supply chain planning with Sophus’s end-to-end optimisation, enabling customers to adjust supply chain configurations rapidly when demand, capacity, cost or supply conditions change.

sophus partnership

 

[Deventer Netherlands, Ann Arbor, MI] – Slimstock, a global leader in supply chain planning and inventory optimization, and Sophus.ai, an innovator in AI-driven network design, today announced a strategic partnership to deliver an integrated, closed-loop supply chain solution. By uniting Sophus’s AI-powered network optimization with Slimstock’s Slim4 platform, the collaboration bridges the gap between high-level network strategy and daily operational execution.

 

Closing the Design Planning Gap

Traditionally, supply chain network design has been treated as a static, infrequent exercise. Meanwhile, daily planning teams often operate in functional silos, detached from physical network flow constraints. In an environment marked by volatile lead times, fluctuating tariffs, and demand shifts, static plans quickly become obsolete, forcing businesses to carry costly buffer stock or endure severe stockouts.

The combined offering connects network optimisation with operational planning, so that when conditions change customers can evaluate the best overall response and feed it back into the plan.

 

Measurable Customer Value

By eliminating traditional planning silos and automating coordination across multi-echelon networks to respond to supply chain challenges, the partnership delivers significant financial and operational value:

  • Greater Responsiveness: Shifts in demand, supply, cost or capacity surface early enough to act on, rather than absorb.
  • Better Decisions: Options are evaluated across the whole network, so trade-offs are visible before a response is chosen, not after.
  • Service Without Over-Investment: Balancing cost, service and capacity reduces the need to cover uncertainty with inventory or added capacity.
  • Decisions That Stick: Chosen responses feed back into planning structures, rather than being re-solved by hand each time.

 

Modern, SaaS-Native Architecture

Built on cloud-native architectures with API-led integrations supported by AI agents, the joint solution deploys in weeks rather than the long timelines typical of legacy supply chain software suites. The unified flow targets complex industries with multi-tier networks, including Food & Beverage, Retail, Automotive, Industrial, High-Tech, and 3PL/Logistics providers.

 

Executive Statements

“For too long, supply chain leaders have had to execute daily inventory decisions within static network models that don’t reflect current market realities,” said Stanislav Krupnik, Global Director of Partnerships at Slimstock. “By joining forces with Sophus, our customers can evaluate how their supply chain configurations should adjust and instantly feed that answer back into their planning solution right down to the individual SKU.”

“Companies hit events that are too big for routine planning rules but too frequent to justify a network design project,” Jon Nicholas, Managing Director, Customer Success at Sophus. “Slimstock sees the change coming through the plan. We work out what the best overall response is across the whole supply chain. Together that turns a question that used to take a project into one that customers can answer in days.”

About Slimstock

Slimstock is a global leader in supply chain planning, helping organizations plan smarter and operate with confidence in complex, fast-changing markets. With deep expertise in Sales & Operations Planning (S&OP), demand forecasting, and inventory optimization, Slimstock enables businesses to align operational decisions with strategic objectives. Trusted by organizations worldwide, Slimstock empowers teams to move from reactive to proactive planning and achieve better business outcomes. https://slimstock.com/

About Sophus

Sophus delivers end-to-end supply chain optimisation, letting businesses model their physical network and evaluate the best overall response across cost, service and capacity trade-offs in hours rather than months. Sophus is used directly by enterprises and by the consulting firms that advise them.