Move 18 lb of chicken thighs to Midtown.
Montrose has a 2.4-day surplus. Midtown is projected below Friday dinner par.
Elena is Backline’s decision-intelligence layer. She turns verified inventory, sales, and operating signals into a ranked morning brief—showing what changed, why it matters, who owns the call, and what to measure next.
Montrose has a 2.4-day surplus. Midtown is projected below Friday dinner par.
Montrose has a 2.4-day surplus. Midtown is projected below dinner par by Friday.
Dashboards organize what happened. Backline organizes the next call: the signal, its evidence, the accountable owner, the action, and the result.
See how decisions workreports opened before a manager can frame the problem
decision brief with evidence, owner, and next action together
Backline assembles evidence, guardrails, ownership, and expected value into one reviewable decision.
A score never stands alone. Elena shows the signals that raised it, the gaps that weaken it, and when every input was last refreshed.
No purchase, transfer, or operational change executes invisibly.
Completion and actual impact stay connected to the original recommendation.
Customer workspaces use only real entered or imported data. Synthetic examples remain isolated in the demo tenant.
Production boundary activeNo broad rollout and no integration theater. Backline begins with one recurring decision, one accountable owner, and approved operating inputs.
Inventory transfer, prep adjustment, or count verification.
Begin with an inventory export or existing operating record.
Elena explains the evidence while your operator owns the call.
Record approval, completion, rejection reason, and operating result.
Founder-led pilot for 3–5 multi-location restaurant groups. Start narrow, use verified data, and measure what changed.