PLATFORM · DECISION INTELLIGENCE

Decision Intelligence.

Inside the reasoning that weighs constraints, objectives and trade-offs before a single action is taken.

Demand shiftCompetitor moveCost changeStock ageingPromo liftREASONINGCOREConstraintsObjectivesTrade-offsPredictionsConfidencePricingReprice 412 SKUsInventoryRebalance 38 storesPromotionsReshape 6 mechanicsCOMMERCIAL SIGNALS
The problem

Dashboards tell you what happened.
Decision Intelligence recommends what should happen next.

TRADITIONAL BI
Q3 revenue was $24M
North region underperformed by 8%
Inventory turnover slowed in Footwear
Promo ROI by channel last month
Always looking backward.
TINKERY DECISION INTELLIGENCE
Raise Athletic footwear prices in North by 4% → +$1.2M margin
Move 12K units from East DC to West stores → cut stockouts 18%
Pause Campaign X in digital → redirect $80K to higher-ROI social
Approve $340K incremental buy for Q4 demand spike with 87% confidence
Every recommendation is ranked, quantified and explainable.

Signals in. Ranked decisions out.

Every recommendation carries its expected impact and its confidence.

01
Business goals

Margin, revenue, inventory health, customer lifetime value and growth targets encoded as objective functions.

02
Business rules

Price fences, supplier agreements, channel policies, promo calendars and capacity constraints modelled as guardrails.

03
Opportunity scoring

AI surfaces gaps, anomalies and latent demand — then scores each by expected value and strategic fit.

04
Recommendations

The best action is chosen per SKU, store, channel and customer segment, with full reasoning attached.

05
Confidence

Every decision is tagged with confidence, risk and expected outcome so teams know when to act — and when to ask.

Capabilities

The engine behind every next best action.

Opportunity detection

Always-on scanning for margin leakage, demand shifts, underperforming promotions and inventory risk.

Scenario analysis

Model price changes, promo cadences, rebalancing moves and allocation decisions before you commit.

Impact prediction

Expected revenue, margin, sell-through, stock and ROI effects attached to every recommendation.

Prioritization

Ranked action queue by commercial value, effort, risk and confidence — so teams focus on what matters.

Recommendations

Concrete next-best actions, not insights: specific price points, quantities, dates, channels and customer segments.

Continuous learning

Outcome tracking feeds back into the model, improving predictions and surfacing new patterns automatically.

Example workflow

Detect → Reason → Recommend → Approve.

01

Detect

A 14% demand spike is detected in the Northeast region, with West stores sitting on excess stock.

02

Reason

The model balances margin, transfer cost, lead time and channel rules to identify the optimal reallocation.

03

Recommend

Move 8,400 units from West to Northeast via rail → projected +$620K margin and 22% stockout reduction.

04

Approve

Merchandising confirms the move with one click. Tinkery updates the WMS and ERP automatically.

Integration with ERP, WMS, POS and commerce
Full ROI and impact tracking

Stop reporting the business.
Start running it.

See how Tinkery Decision Intelligence turns your commercial data into a ranked queue of decisions — with confidence, trade-offs and full reasoning.