AI Workflow Recommendations turns live department performance into a simple, repeatable improvement loop. Each week, Hank analyses your data and produces a short, prioritised set of recommended actions for every department — designed to help teams focus on what will actually move results, not sift through more metrics.
Recommendations follow a clear cadence: review what’s happening, act on the highest-impact issues, then re-check outcomes the following week. With a single click, recommendations can be converted into tasks inside Retail+, so actions are owned, tracked, and closed out rather than forgotten. Progress is visible across stores, blockers surface early, and notes on expected outcomes help teams learn what works over time.
By creating a shared weekly rhythm, AI Workflow Recommendations brings consistency to how improvement happens across the business. Leaders gain clearer visibility into whether departments are improving, operations teams standardise execution routines, store managers run their weeks with less firefighting, and buying and category teams spot recurring issues early and address them upstream. The result is steady, compounding improvement — not one-off fixes.
You open Retail+ and review the weekly recommendations for each department. You get a short, prioritised list of actions rather than another wall of metrics.
You convert the top recommendations into tasks for department managers and store teams. The work becomes visible, clearly owned, and time-bound.
You check progress across stores to see what is on track and what is stuck or overdue. Intervention happens while there is still time to influence the week’s outcome.
You leave notes on what you expect to see next week if the actions land. Over time, the team builds a learning rhythm instead of relying on one-off fixes.
This feature creates consistency through a shared weekly cadence, clear priorities, and a clean trail of follow-through.
You gain a clearer view of whether improvement is happening at the department level, not just in top-line results.
Department routines become more consistent across stores, reducing variation driven by different management styles.
Each department has a manageable set of actions and a clearer weekly rhythm, reducing reactive firefighting.
Recurring execution problems surface sooner, allowing fixes upstream in ranging, supplier support, or promotions.
You can connect category decisions directly to store execution and see whether changes are landing where it matters most.
AI Workflow Recommendations creates a consistent weekly cadence with clear priorities and visible follow-through across the business. Leaders gain visibility into real department-level improvement, operations teams standardise routines, store managers run their weeks with fewer fire drills, and buying and category teams spot recurring issues early and fix them upstream.
Margins are tighter, staff stretched, and data scattered across disconnected tools.
Retail+ brings AI-driven clarity to every decision — from store floor to boardroom — so you can act in real time, not in retrospect.
