Speedy vs Enable
Rebate platforms are adding AI. Speedy was built on it.
Enable is a credible enterprise pricing and rebate suite. But if you are choosing a platform for the agentic era, the question is not which one has an AI feature. It is which one puts agents to work: Glass reconciles your programs, investigates variances, and drafts the claims with the math shown, while the rule-based workflow engine runs your programs continuously. Compare the two on your own files.
Get tailored demo
Three generations of rebate software
The question to ask in every demo is simple: who does the work, you or the system?
The SaaS era
Software you operate
Dashboards, reports, exports. The system stores the data, but your team still runs every workflow: pull the report, build the pivot, chase the exception across tabs and inboxes.
Chat on top
AI as a feature
An assistant that answers questions about the data. Helpful, but the workflow underneath is unchanged: the reconciliation, the claims, and the follow-up are still yours to run.
AI-native
Speedy Labs
Agents do the work. Glass reconciles, investigates root cause, and drafts the claim. The rule engine runs your programs continuously. Your team reviews the evidence and decides.
Not an AI feature. Two agents on the job.
AI-native means the intelligence is the operating model, not a chat window bolted to a dashboard. Speedy ships with two agents that split the work the way your team would.
The agent you talk to
Glass
Ask in plain language. Glass reconciles the statements, investigates the root cause across your systems, contracts, and freight files, drafts the claim or the supplier brief, and shows its math on every line. Teach it a recurring job once and it becomes a skill that runs every week.
The agent that never sleeps
The rule-based workflow engine
Finance captures the contract once: tiers, exclusions, catch-weight, deviated pricing, approvals. From then on the engine computes accruals, applies the rules, and flags exceptions continuously, with no IT ticket and nobody re-running reports. It is the always-on half of the agentic future.
Rules
Your contract memory
Agreements, tiers, exclusions, and pricing logic, captured once.
Skills
Your workflow memory
The recurring work your team does, taught once and reused.
Which supplier terms should I renegotiate, and how much margin is at stake?
I ranked the programs where your earned rebates trail their tier thresholds, showed the term driving each gap, and drafted the brief for your next supplier meeting.
Every Monday, flag invoices that do not match a purchase order within two percent.
Saved as a recurring skill. I will summarize the exceptions for you every Monday.
Built by AI engineers who worked at Apple, SAP, and Microsoft.
What to compare in the demo
Enable and Speedy can both sit in a rebate conversation. The difference to test is what happens after you ask: who runs the workflow, and whether the answer arrives with the math.
| Speedy | Enable | |
|---|---|---|
| Rebate tracking, accruals, claims, analytics | Core | Core |
| Who does the reconciliation work | Glass, the AI agent | Prove in demo |
| Ask in plain language, get the answer with the source-line math | Core | Prove in demo |
| Teach a recurring workflow once, it runs on schedule | Skills, core | Prove in demo |
| Programs and rules finance can change without IT tickets | Rule engine, core | Prove in demo |
| Every AI answer traces to source lines and exports | Always | Ask in demo |
| Foodservice mechanics: buying groups, catch-weight, redistributors | Modeled directly | Prove in demo |
Positioning guide only. Validate every workflow against your own program terms, files, and ERP flow.
An agent is only as good as what it knows
Generic AI on top of generic rebate data produces generic answers. Speedy's agents work because they are built on the mechanics that decide foodservice margin.
Buying group program reconciliation
Statements reconciled line by line against program terms, so the check can be tied back to the supplier, member, item, tier, and invoice activity that earned it.
Catch-weight and deviated pricing
Per-case, per-pound, case-to-each, off-invoice, and guaranteed-cost logic are modeled directly instead of being cleaned up after the fact in a spreadsheet.
Redistributor attribution
When product ships through DOT or another redistributor, Speedy keeps the rebate tied to the brand program rather than stopping at the invoice vendor.
Short-pay and deduction recovery
Short pays, missing components, voids, and deductions are surfaced with the source-line evidence needed to claim or dispute them.
GS1 item-ID mismatches
The item-level mismatches that quietly break rebate matching are caught before earned dollars disappear into unmatched transactions.
True net cost back to the ERP
The number buyers, pricing, and finance actually need is written back to the system you already run. Your ERP remains the ledger.
Chosen by foodservice, for foodservice
UniPro Foodservice, one of the largest foodservice distribution cooperatives, partners with Speedy on rebate and program reconciliation for its members.
Frequently asked questions
Every rebate platform says it has AI. What makes Speedy different?
The test is who does the work. In most platforms, AI is a feature that answers questions while your team still runs the workflow. Speedy is AI-native: Glass, our agent, reconciles the statements, investigates the variance, and drafts the claim with the math attached, and the rule-based workflow engine runs your programs continuously in the background. In your evaluation, give every vendor the same task on your own files and watch who actually completes it.
We are already evaluating Enable. Why also look at Speedy?
Enable is a credible enterprise pricing and rebate suite. If AI is part of why you are buying now, put both systems in front of the same real work: ask each one to reconcile a buying-group statement, explain a short pay, and set up a recurring check. Speedy runs in parallel with your current process, so the comparison is evidence, not a pitch.
Can our finance team change the rules without waiting on IT?
Yes. IT controls the connection, and finance controls the configuration. The rule engine is built so your team can shape programs, tiers, and controls directly, without a change request for every adjustment. Once a rule is set, the workflow engine applies it continuously; nobody has to remember to re-run anything.
Is the AI a black box?
No. Every number Speedy computes traces back to the source, and you can export the math behind it. The agents do the reconciliation work and show their work on every line.
Do we have to rip out what we run today?
No. Speedy ingests your existing data and runs alongside your current process until your team agrees the numbers match. Cutover happens on your evidence, not on faith.
See the agents work on your own programs
Get tailored demo
Evaluating other platforms? Speedy vs TrackMax+·Speedy vs NetSuite