VALUE SIGNAL · INVENTORY & WORKING CAPITAL
Turn inventory into Headroom.
Quantify where working capital is trapped without assuming that lower inventory must mean lower service. The first proven Value Signal engine is OnTarget — an inventory-optimization capability used in major blue-chip enterprise environments for more than a decade.
Support service with materially less capital.
Illustrative efficiency frontier.
The ERP gap
Your ERP replenishes to targets it never set.
ERP systems replenish to min/max targets but don't scientifically set them.
Teams fill the gap with spreadsheets that can't be audited, repeated or challenged — so the working-capital opportunity stays invisible.
Proven technology capability
More than a decade of enterprise use.
OnTarget is not a newly created algorithm attached to a new brand. The underlying inventory-optimization capability has been used in major blue-chip enterprise environments for more than 10 years.
Value Signal brings that established capability into a value-first model: quantify the Headroom first, test whether it is realizable, and deploy the technology where the economics justify it.
Deployment evidence
A track record across enterprise environments.
Multi-sector deployment history — FMCG beverages, Life Sciences and OTC pharma environments.
Illustrative outcomes from separate Inventory & Working-Capital deployments powered by OnTarget. Historical results predate Value Signal and are presented as evidence of the underlying technology capability. Each case was validated against its own baseline. Results vary by business context and are not a forecast or guarantee.
Deployment track record
Evidence over testimonial.
Rather than quote unverified client feedback, Value Signal stands on the measurable deployment record above — outcomes validated against each case's own baseline, not marketing claims.
Value Signal approach
Define the return before selecting the answer.
Quantify
Establish where inventory Headroom is economically material.
Test realizability
Separate theoretical reduction from changes the business can adopt.
Govern
Connect targets to owners, decisions and operational policy.
Optimize
Deploy OnTarget where the value case supports it.
Realize
Track cash and service outcomes against the baseline.
Technology capability · OnTarget
A proven engine, brought into a value-first model.
OnTarget identifies measurable working-capital opportunity in existing planning data and turns it into an implementable, quantified plan — what can change, where, by how much, at what cost, and with what consequence for service. It supplies the science the ERP is missing, then lets the ERP execute to an agreed, defendable target.
Technology capability: OnTarget. Its optimization logic reflects decades of practical supply-chain and inventory-management experience — domain expertise embedded in the technology, combined with a long-running enterprise deployment record.
Built on The Sequoia Partnership's 30+ years of supply-chain expertise — domain experience first, technology second.
It makes the first domain immediately credible: Value Signal does not need to invent its first engine. It starts with technology that has already been used in major organizations and applies it through an economics-first Headroom model.
Built for planning reality
- Statistical obsolescence riskOnTarget explicitly models the write-off-vs-service trade-off for shelf-life-limited products (a genuine differentiator for pharma/OTC).
- Handles real planningSeasonality, variants/NPD, intermittent demand, MOQs and capacity constraints sit inside the target.
- ERP-agnostic, cloud-basedComplements, does not replace, your ERP.
- Fast to prove6–8 weeks configuration to first run.
- Client-ownedSequoia configures; your planning team owns the parameters, with training and support included.
First conversation
Discuss your Working-Capital Headroom.
Quantify where inventory Headroom exists and what it would take to capture it.
The first conversation is not a software proposal. It tests whether the inventory question can support a credible ROI case — a clear go/no-go before any implementation decision.