IDT Corporation's retail-tech subsidiary let the engine cut 11,260 opportunities down to the 226 that fit.

The company

IDT (National Retail Solutions)

National Retail Solutions provides point-of-sale and payment technology for small and mid-sized retailers. It is a subsidiary of IDT Corporation (NYSE: IDT), but inside that much larger parent, NRS runs its own bid desk, without a structured process for finding government work that fit its profile.

Before SamSearch

For a POS company, almost every solicitation is noise until it is not

IDT is large and well established, but NRS had no established process for finding government opportunities that fit a retail-tech profile. SAM.gov is dense enough to lose a newcomer on its own, and that is before adding the 50,000+ state, county, and municipal portals that make up the SLED market. Almost none of what turns up in a keyword search has anything to do with retail point-of-sale, and without a process to sort by, NRS had no fast way to tell a real fit from noise.

How they use SamSearch

The capture workflow

NRS was live and running recommendations within a week. Across 336 recommendation runs spanning federal and SLED coverage, the engine screened 11,260 candidate solicitations and shortlisted 226 that actually matched a retail-tech profile. That shortlist gave the team its first real read on what a fit looks like, and from there they worked into the rest of Capture, reading the notices that cleared and learning the agencies and set-asides that kept recurring. NRS placed its first bid within a month of onboarding.

The playbook

The pattern for a big parent with a small GovCon team

NRS is not a special case. It is what this pattern looks like when a well-known parent company hands a small team a government mandate and no playbook for running it. The same sequence works for any brand-backed team starting a GovCon motion from a standing start.

1. 01

   Filter before you read

   Screen the full market against NAICS, agency, and set-aside fit before anyone opens a notice. NRS ran 11,260 candidate solicitations through that filter before a person looked at one.

2. 02

   Let the shortlist teach the team

   A small team does not need to learn procurement in the abstract. The 226 that cleared showed NRS which agencies and buyers actually matched a retail-tech profile, in a week.

3. 03

   Turn the pattern into a process

   Once the recurring agencies and set-asides were visible, the team built a rhythm around them instead of treating every notice as a new category to figure out.

4. 04

   Bid on the pattern, not on mastery

   NRS placed its first bid within a month of onboarding, before anyone would call the team experienced. The filter had already done the work of separating signal from noise.

Capabilities in play

What they run in the platform

Old way vs. SamSearch

What changed in the pursuit process

FAQ