ACL Software Renewal
Past Recompete Updated
- Agency
-
Department of Agriculture
- Solicitation expected
- Estimated value
- $250,000 to $499,000
- Set-aside
- No set-aside
Forecast facts
- Anticipated award
- NAICS code
- 541519 Other Computer Related Services
- Forecast number
- 43010
- Points of contact
Forecast details come from the GSA Acquisition Gateway. Agencies' dates and values are estimates.
About this forecast
The Department of Agriculture is forecasting a recompete for ACL Software Renewal, a critical financial management tool that supports transaction analysis, reconciliation of State Agency general ledger data, and identification of anomalies and duplicate transactions during Financial Management Reviews. The software maintains comprehensive audit logs to ensure transparency and staffing continuity, and performs statistical evaluations essential for analyzing State SNAP Quality Control data. The estimated solicitation release date is August 30, 2026, with an estimated award date of June 30, 2026.
The estimated award value for this procurement ranges between $250,000 and $499,000 under NAICS code 541519 (Other Computer Related Services), with full and open competition expected. The contract completion date is currently set for September 29, 2026. Interested vendors should contact Andrew Williams at the USDA Food and Nutrition Service (FNS), who can be reached at andrew.williams3@usda.gov or +1 631-264-4121 for additional information regarding this opportunity.
Forecast text
ACL Software supports full population transaction analysis reconciliation of State Agency general ledger data identifies anomalies and duplicate transactions which are all key functions during Financial Management Reviews (FMR). ACL also maintains audit logs that ensure transparency and support continuity in the event of staffing changes. This is valuable during FMRs where detecting reconciliation issues is critical to maintaining fiscal responsibility. As an example ACL performs crucial Statistical evaluations like those used to analyze State SNAP Quality Control (QC) data
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