Manufacturers run a proof of concept before buying APS software because they need to verify that the solution works with their actual data, constraints, and planning scenarios before committing to a full implementation. A short, focused pilot reduces financial and operational risk, surfaces data gaps early, and gives both planners and leadership a concrete basis for the decision to move forward.
A well-designed APS proof of concept typically takes four to six weeks and tests the situations where current planning methods tend to break down. The sections below walk through what a POC involves, what risks it prevents, how to structure it, and how to evaluate the results.
What does a proof of concept for APS software actually involve?
An APS software proof of concept is a short, structured pilot in which the solution is configured using real company data and tested against a defined set of planning scenarios. The goal is not to build a complete production model but to verify that the software fits your specific constraints and can support the decisions your planners make every day.
During the POC, a limited but representative scope is agreed upon upfront: which products, work centres, or planning horizons will be included, which scenarios will be tested, and what the success criteria are. This discipline is important. One of the most common traps in planning projects is trying to document every exception and edge case before anything is tested. That approach leads to endless workshops and delays. A proof of concept works differently: model only what is necessary to answer the key questions, and keep the focus on reaching a decision.
In practice, this means connecting the APS tool to ERP or production data, configuring the core constraints and routing logic, and running a handful of realistic planning scenarios with the actual planning team. The outcome is a clear picture of what the solution can do in your environment, what gaps exist, and what it would take to move to full deployment.
What risks does a POC help manufacturers avoid?
An APS software POC helps manufacturers avoid the risk of committing to a lengthy, expensive implementation before confirming that the solution actually fits their planning environment. Without a pilot, organizations often discover critical mismatches in data quality, system integration, or user adoption only after significant resources have already been spent.
The most common risks a proof of concept surfaces early include:
- Data readiness gaps: Master data problems, missing routing information, or unreliable capacity parameters that would undermine schedule quality in production use
- Integration complexity: Unexpected difficulties connecting the APS tool to existing ERP or MES systems that could extend the implementation timeline
- Constraint modelling mismatches: Planning rules or sequencing logic that the software handles differently than expected
- User adoption barriers: A tool that planners find difficult to use or trust, which leads to workarounds rather than genuine adoption
- Scope creep: Implementation projects that expand beyond their original boundaries because requirements were not tested and validated before the rollout began
By identifying these issues during a time-limited pilot rather than a full deployment, manufacturers can correct data, adjust scope, and make a genuinely informed go or no-go decision. The POC also gives finance and executive leadership the evidence they need to approve investment with confidence rather than on the basis of vendor demonstrations alone.
What should manufacturers test during an APS proof of concept?
During an advanced planning and scheduling proof of concept, manufacturers should test the scenarios where their current planning approach struggles most, not generic software features. The most valuable POC is built around three to five realistic situations that planners face regularly, where spreadsheet-based or manual methods tend to produce slow, unreliable, or hard-to-communicate results.
Typical scenarios worth testing include:
- Inserting a rush order without breaking existing delivery commitments
- Re-evaluating delivery dates when bottleneck capacity changes unexpectedly
- Resequencing production after a material shortage or supplier delay
- Recovering the schedule after an unplanned disruption on the shop floor
- Communicating the impact of a change to purchasing, production, and customer-facing teams simultaneously
For each scenario, the evaluation should focus on practical questions: How quickly can planners create a revised plan? Can they see the trade-offs between options without rebuilding the schedule manually? Are the results clear enough that supervisors and other departments can act on them? Can planners operate the tool without needing specialist support for every adjustment?
The POC is also the right time to test data and integration readiness. Running real scenarios with actual data will reveal gaps in master data or planning parameters that might not be visible in a controlled demonstration. Identifying those gaps during the pilot makes it possible to address them before a production rollout, which is one of the most practical ways to reduce implementation risk.
How long does an APS proof of concept typically take?
An APS proof of concept typically takes four to six weeks from initial data connection to final evaluation. This timeframe is intentionally short: a longer pilot risks losing focus, expanding scope, and drifting toward the “perfect model” trap that slows down full implementations.
Within that window, the work generally moves through three phases. The first week or two focuses on connecting the solution to ERP or production data, configuring the core planning logic, and aligning on the agreed scenarios and success criteria. The middle phase involves running the defined scenarios with the planning team, iterating on the model, and surfacing any data or integration issues. The final stage is evaluation: reviewing results against the agreed criteria, documenting what works, what gaps remain, and what the path to full deployment would require.
The four-to-six-week window works because it forces the right level of discipline. When the timeline is fixed and the scope is defined, both the supplier and the manufacturer stay focused on answering the key question: does this solution fit our environment well enough to move forward? A pilot that stretches to several months often signals that the scope was not defined clearly enough at the start.
How do you evaluate APS software results after a proof of concept?
After an APS software POC, evaluation should focus on planning capability and readiness rather than long-term operational metrics. Because the pilot is short and not a full production deployment, the most useful signals come from how the tool performed against the agreed scenarios and how confidently the planning team can work with it.
A structured evaluation typically covers four areas:
- Planning responsiveness: How quickly could schedules be created, adjusted, and compared against the current planning approach? Did planners gain meaningful time or visibility?
- Usability and adoption readiness: Could planners perform key tasks and explain the resulting plan to stakeholders without specialist support? Ease of use is a strong predictor of whether adoption will succeed at scale.
- Data and integration readiness: What gaps in master data or planning parameters became visible during the pilot? How quickly were they corrected, and how reliable was the data flow throughout the test?
- Transparency and communication: Were constraints, bottlenecks, and the impact of changes visible enough to support decisions across production, purchasing, and customer-facing functions?
By the end of the pilot, the evaluation should produce a clear summary: which requirements are already met, which gaps remain, and what data, integration, or process work would be needed before moving to deployment. This summary becomes the decision basis for the next step.
With Delfoi Planner, we structure the POC so that it also functions as the design phase for implementation. When the pilot confirms requirements and data readiness, the transition to production deployment follows naturally from the same model, which shortens the overall project timeline and reduces the risk of surprises during rollout. The key outcome of the pilot is not a perfect model but confidence: a clear, evidence-based understanding of what the solution can do in your specific environment and what it will take to implement it successfully. Contact us to discuss your planning challenges and find out how a structured POC can help your organisation move forward with confidence.
