Most restaurant cost tools show you dashboards. InvSpot Profit Engineering will show you what to dospecific menu items to reprice, specific suppliers to renegotiate, specific outlets to audit. Each recommendation will come with a quantified margin impact and a one-click workflow. Launching Q3 2026built for HK F&B operators who'd rather act than read more reports.
A decision-intelligence module, launching Q3 2026that will turn your cost and sales data into a prioritized weekly action list with quantified margin impact. Instead of generating reports for you to interpret, it will tell you exactly what to do.
The category history goes: receipts → spreadsheets → reports → dashboards. Each generation added more data, more visibility, more reporting precision. None of them added more actions taken. The bottleneck stopped being information and became attention, operators have richer reports than ever, and the same compressed margins as a decade ago.
Three patterns of failure that this exists to fix:
A dashboard that shows food cost % went up 0.4 points last month is information. A specific recommendation that says "reprice 椒鹽豬扒飯 from HK$78 to HK$84, restores margin to target; estimated +HK$1,800/mo at current sales volume" is action. The first is what most cost tools produce. The second is what changes the business.
Owner-operators we work with average 60+ hours per week. The hour they spend interpreting last month's P&L typically produces 0-1 decisions. InvSpot Profit Engineering's job is to produce a list of 5-15 ranked decisions ready for those 30 minutesso the time produces actions, not analysis.
A 0.5-point margin improvement applied in week 1 compounds across the remaining 12 weeks of the quarter. Discovered at the end of the quarter, it's just a number to put in the next quarter's plan. The cadence is the leverage. Profit Engineering is built around weekly action cycles for exactly this reason.
At launch in Q3 2026the system will read everything you've built up across the rest of InvSpot, and tell you what to act on this week.
What InvSpot will do: Reads the full operational dataset, every invoice, every recipe, every sale, every supplier price point. Cross-correlates them to find patterns no single dashboard would surface: a supplier whose pricing drift specifically affects your highest-volume dishes; a kitchen variance that only shows up on weekend shifts; a promotion that drives revenue but cancels its own margin.
What you do: Set a target, what's the food cost % or margin level you're aiming for? InvSpot calibrates recommendations toward that target.
Time: Continuous; the diagnosis updates as new data flows in.
What InvSpot will do: Generates a prioritized list of actions, ranked by impact × inverse-effort. Each recommendation includes:
Most weeks produce 5-15 recommendations. Some are repeats from prior weeks that haven't been applied yet.
What you do: Skim the list. Most recommendations need a 30-second decision, apply, defer, or delegate.
Time: ~10-15 minutes to review a week's list.
What InvSpot will do: For each "Apply" action, provides a one-click workflow: export the supplier negotiation pack as PDF; export updated menu pricing for your POS; generate a kitchen audit brief for your sous chef. You're not building the artifact from scratch; InvSpot has it ready.
What you do: Decide what to do this week. Delegate what to do this month. Defer what doesn't fit yet. Move on with your week.
Time: Per recommendation, usually 1-3 minutes per action.
What InvSpot will do: Tracks the cumulative margin impact of applied recommendations. Shows which actions actually moved the needle and which fell short of estimate, feeding back into future recommendation accuracy. You see the compounding effect of weekly action cycles instead of waiting for the quarter-end to find out what worked.
What you do: Notice the compounding. Adjust your goals as the margin improves.
Time: Built into the weekly review.
This will be the difference between reading reports and engineering profit.
The other four modules feed into Profit Engineering. Without invoices, prices, recipes, and sales data flowing in, it has nothing to analyze.
The supplier cost data, every line item, every invoice.
See invoice scanning →Price drift detection, feeds the supplier-renegotiation recommendations.
Track your ingredient costs →Live recipe costs, feeds the menu-repricing recommendations.
Calculate your recipe costs →Sales data and margin reality, feeds the dish-level and shift-level recommendations.
See POS integrations →All four are available on the same InvSpot plans. The full stack is what makes Profit Engineering possible.
No. InvSpot Profit Engineering generates recommendations; you approve every action before anything changes. The system surfaces what to consider; you decide what to do. Operators we've talked to consistently want the recommendation layer, not the auto-execution layer, restaurant margin decisions involve too many human factors (quality, relationships, brand) to delegate to a system.
A dashboard tells you what happened. Profit Engineering tells you what to do about it. A dashboard shows food cost % rose 0.4 points last month; Profit Engineering shows you that the cause is a supplier price drift on three specific SKUs, and recommends switching one of them. The difference is between information and instruction.
Profit Engineering needs upstream data to generate recommendations. The minimum is Invoice Scan + Recipe Cost (so it knows what each dish costs). Adding Ingredient Cost Intelligence sharpens the supplier-renegotiation recommendations. Adding POS Integration unlocks dish-level and shift-level margin recommendations. The more of the stack is live, the richer the action list.
At launch in Q3 2026, recommendations will be specific. Not "consider reviewing your menu", but "reprice 椒鹽豬扒飯 from HK$78 to HK$84, estimated +HK$1,800/mo." Not "evaluate supplier pricing", but "switch frozen seafood supplier from A to B for this SKU, estimated +HK$3,400/mo." The specificity is the point.
The target accuracy at launch is based on your actual historical sales volumes and current ingredient prices. Specific accuracy ranges and the estimate-vs-actual self-correcting loop are part of the Q3 2026 launch designnot yet measured against real-customer data. Published accuracy numbers will follow once we have launch-customer benchmarks.
Defer it or dismiss it. Profit Engineering doesn't penalize disagreement; it learns from it. If you consistently defer recommendations in a particular pattern (e.g., never repricing items in your "signature dishes" category), the system de-prioritizes those recommendations in future weeks.
Design target: first useful recommendations after roughly 4-6 weeks of cost data and 2-3 weeks of POS data, enough for trend detection and pattern correlation. Actual time-to-first-recommendation will be confirmed during the Q3 2026 launch with real customer data; earlier-stage recommendations will carry lower confidence flags.
Yes, that's part of the Q3 2026 launch design. You'll be able to set target food cost %, target margin per dish category, and constraints (e.g., "don't recommend repricing any signature dishes," "exclude this supplier from switch recommendations"). The system will calibrate recommendations to your goals and limits.
No. Single-location operators benefit too, the time-to-action gain is the same, the list is shorter. Owner-operator setups with 1-3 locations are common Profit Engineering users.
Yes. New customers get a 1-month free trial of InvSpot with full Profit Engineering access (once enough cost and sales data is available to generate meaningful recommendations). No credit card required to start.
For wedding banquet venues, every event's profitability is a one-shot, there's no "next week" to fix a mispriced menu.
The GlassHall Group is a design partner for InvSpot Profit Engineering, helping shape what the Q3 2026 launch will deliver, so that at launch the product turns cost intelligence into specific actions before the next event quote, protecting margin event by event.
Built in Hong Kong. Designed with HK F&B operators since 2025.
Book a 15-minute call to see the early preview of InvSpot Profit Engineering, the prioritized weekly action list, the HK$ impact estimation, the workflows. Launch customers get priority onboarding when the product ships in Q3 2026.
1-month free trial offered to all new InvSpot customers at the Q3 2026 launch. No credit card required to reserve your spot.