Selected Application
Manufacturing & Distribution
An established focus: operational bottlenecks that cross disparate systems.
Overview
U.S. mid-size manufacturers manage production and quality across ERPs, MES platforms, QMS software, and supplier portals. The complex exceptions that fall between these systems still require manual resolution, which is where we first proved our engineering methodology.
Manufacturing is our first proof point, not our only focus. Shoppeal provides AI architecture and software engineering for complex operations. We are using one specific, well-defined operational bottleneck to prove our methodology before expanding.
This Industry
Challenges and where we apply.
Common Operational Challenges
Production or quality problems where someone must check several systems to find out what happened
Investigation that depends on a few people who know where the information lives
Repeat problem types with no written, repeatable way to decide
A QMS or ERP that handles the core workflow but not the judgment calls that cross systems
Where Our Capabilities Apply
We map the problem and check the data for one repeat, high-cost problem
We build a Context Map across your ERP, MES, QMS, and other sources
We write a draft Decision Rulebook and propose a pilot with a payoff estimate
We run a pilot that only reads data and makes recommendations. A person must approve it before anything changes in your systems.
Relevant Capabilities
Agentic AI Engineering
AI agents and production AI, engineered into the products and workflows you already run.
See Agentic AI Engineering
Data & Systems Engineering
Systems integration and data unification for complex environments.
See Data & Systems EngineeringRelevant Solutions
AI Decision & Exception Intelligence
Handle the cases your existing systems can't settle on their own.
See AI Decision & Exception Intelligence
Data & Systems Integration
Link the systems, data, and decisions that now need manual coordination.
See Data & Systems IntegrationWho this is for
U.S. manufacturers with roughly $50M to $250M in annual revenue
1 to 5 facilities, with established production and quality operations
An existing ERP, plus some mix of MES, QMS, or specialized production systems
Recurring operational exceptions that currently require manual investigation across systems
Common triggers
An ERP upgrade or an MES/QMS rollout is under way
A plant expansion, an acquisition, or rapid growth in production volume
Increasing exception rates, or escalating pressure on staff capacity
Spreadsheet-heavy workflows bridging isolated systems
How the first engagement works
Operational Exception Assessment
Fixed fee, usually $7,500 to $12,500, depending on scope.
We analyze one recurring operational exception from start to finish: the systems it spans, current manual interventions, frequency, and cost. Deliverables include: an Exception Map, a Baseline Sheet, a Context Map, a draft Decision Rulebook, and a pilot proposal with an ROI estimate. Part of this fee is credited toward implementation if executed within 60 days.
Read-and-Recommend Pilot
Usually $35,000 to $60,000, depending on scope.
We engineer the integration layer that aggregates context, applies the finalized rules, and generates a recommendation. A human operator approves every recommendation before execution. Deliverables include: the final Decision Rulebook, a Human Approval Flow, and a Measurement Report comparing outcomes against the baseline. The system operates strictly read-only on your core systems at this stage.
Controlled Execution
Usually $20,000 to $40,000, scoped after the pilot is validated.
Once the pilot demonstrates consistent reliability and your team approves, we enable automated execution within strict boundaries: approved API updates to core systems, task generation, and automated state transitions. Comprehensive telemetry and escalation alerts are integrated.
Where we are transparent about current capabilities
- We possess deep software engineering and AI architecture capabilities. Vertical manufacturing credibility is actively being developed, supported by our operations advisory board.
- We have not yet published commercial case studies for this vertical. The Use Cases section demonstrates our methodology via representative scenarios until commercial engagements conclude.
- If native features in your QMS or ERP can adequately resolve the bottleneck, we will advise you to use them rather than proposing custom engineering.
Next Step
Recognize this in your operation?
Start with a fixed-fee Operational Exception Assessment: we map one recurring exception, its cost, and whether it's worth automating.