Published Case Study

Posillico finds the federal opportunities its filters miss

Posillico uses Bidlo to find relevant federal work hidden by incomplete notice fields and remove opportunities it does not plan to pursue. John Trotta estimates the workflow finds at least 20% more relevant opportunities and cuts review time by at least 50% compared with his prior SAM.gov-only search.

Bidlo Team

Bidlo Team

Editorial team, Bidlo

10 min read
⚠️
Draft — pending customer approval. Customer quotes, metrics, name, title, and workflow details must be approved by Posillico before publication.

Posillico uses Bidlo to find relevant federal work hidden by incomplete notice fields and remove opportunities it does not plan to pursue. John Trotta estimates the workflow finds at least 20% more relevant opportunities and cuts review time by at least 50% compared with his prior SAM.gov-only search.

About Posillico

Posillico is a heavy civil contractor with a history dating to 1946. Its estimating work includes evaluating federal opportunities and deciding which notices deserve a closer look.

For John Trotta, Director of Estimating and Special Projects, a useful search needs to bring relevant work into view and keep non-fit opportunities from consuming review time.

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Image: Posillico estimating team or an approved heavy-civil jobsite.

The problem

Some opportunities that interested Posillico never appeared in John’s SAM.gov filters. The owner had left the location field empty, so the notice fell outside the search even though other project information pointed to where the work would happen.

At the same time, John needed to remove set-aside opportunities Posillico did not intend to pursue. Missing information could hide a relevant job, while unwanted results added to the work of reviewing the list.

Reading beyond the location field

Bidlo gave Posillico a way to use the context already available in the project information. When the location field was incomplete, Bidlo inferred the likely location from other details, bringing opportunities into view that John’s earlier filters had missed.

The team could also filter by exclusion, removing non-fit set-aside opportunities from its search. Together, those capabilities addressed both sides of the problem: finding relevant work and reducing the material John needed to sort through.

How it works

Posillico reviews federal opportunities through Bidlo. Where a notice lacks a location, Bidlo uses the available project context to infer a likely one. The estimator can then review an opportunity that might otherwise have remained outside the search results.

Exclusion filters remove the set-aside opportunities the team does not plan to pursue. John reviews the remaining work and decides what merits further attention.

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Image: Bidlo opportunity view showing location context and exclusion filters, using sanitized demonstration data.

What changed

The difference showed up in opportunities John recognized as relevant to Posillico. They had been absent from his previous results because a field was missing, even though enough information existed elsewhere to understand the project’s location.

Removing unwanted set-asides also made the search faster, according to John. The workflow gave him more relevant opportunities to consider while reducing the time spent reviewing new notices.

An opportunity hidden from one field-based search could be hidden from similar searches used by other contractors. That offers a possible information advantage, although the customer evidence does not establish fewer competing bidders.

Results

John estimates that Bidlo found at least 20% more relevant opportunities than his prior SAM.gov-only search and reduced total review time by at least 50%. Both figures reflect his experience with the workflow.


Find the work your filters may be missing

See how Bidlo can help your estimating team review federal opportunities beyond incomplete fields and focus on work worth pursuing.

See Bidlo in action →

Source notes

  • Bidlo workflow, quote, and results: customer-supplied text message from John Trotta. Results are customer-reported estimates and remain pending final customer approval.

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