aimily In-Season
The season that ends designs the next.
Daily in-season sales management for fashion buyers and commercials. Connect Shopify in two clicks, or drop a weekly PDF — walk into your daily trading meeting with an evidence-backed action pack of 13 verbs per SKU. No black-box AI. Six confidence dimensions per recommendation. Backtested before we recommend.
Included in every aimily plan. Pilot available for enterprise volume — reach out for a 30-minute scoping call.
Two surfaces, same engine
Daily decisions today. The next collection, smarter.
Connector (standalone)
Run In-Season on what you already sell
Connect Shopify in two clicks (OAuth, Partner App approved). Drop a PDF if you're on a legacy ERP. We ingest sales, returns, inventory and run the daily action pack. Works without ever creating a collection in aimily.
Block 5 of aimily 360
Sales feedback closes the loop
Seeds from in-season winners feed straight into next-season Moodboard — colour extensions, family amplification, lineage survivors. The collection you build next is informed by the season that just ended, not by a hunch.
The problem
Two camps. Nobody serves the intersection.
Quant planning
o9, Centric Planning, Anaplan, Nextail, RELEX. They eat your numbers and output more numbers. Zero creative-merch awareness. Zero natural-language explanation.
Trend & creative
WGSN, Heuritech, Stylumia, EDITED. They tell you what the world wants — without reconciling against YOUR last-season SKU performance. Recommendations float in the abstract.
Your buyers still need to sit down and reconcile both sides. By hand. On Excel. Every season. aimily In-Season is the layer between — your real SKU history × your creative direction × an evidence-bound recommendation pack.
How it works
Deterministic first. LLM only narrates.
Ingest
Connect Shopify via OAuth (Partner App approved, Protected Customer Data Access), drop a weekly Inditex-style ranking PDF, or wire Stripe / a custom ERP. We extract product / inventory / velocity / efficiency facts into a normalized schema. Identity graph groups colorways across seasons with confidence.
Score
10 versioned classifiers run deterministically: distribution-normalized velocity, returns-penalized margin, capacity-aware demand ceiling, stockout-aware velocity, cannibalization, lifecycle stage, color winner intra-lineage, carryover survivor, family-level returns risk, family ROI.
Recommend
13 actions per SKU, family, color, lineage — replenish, kill, resize, recolor, markdown, amplify-distribution, pull-forward-intake, investigate, and more. Scenarios honour your hard constraints (margin, SKU count, budget, positioning) and your optional creative brief. LLM translates structured scores into merchandising language — never the other way.
Daily trading meeting
A fresh action pack every morning. Same engine, same vocabulary, every day.
The cron pulls overnight sales at 6 am tenant time and re-runs the 10 classifiers. By the time your team sits down, each SKU has a verdict pill with six confidence dimensions visible. Pin verdicts to seeds for next season's Moodboard, or push a decision straight to your ERP. No mid-day spreadsheet gymnastics.
Pricing
Included in every aimily plan.
In-Season runs on the unified Aimily Credits bucket — same wallet as Studio and the 360 builder. A daily classifier run costs 10 credits. Founder plans get 100 credits / month, Team plans get 1,000. Enterprise pilots quoted separately for tier-1 volume and dedicated infra.
Solo brands · DTC
Founder · €99 / mo
100 credits / month
- Full In-Season engine
- ≈ 10 daily runs / month
- Shopify OAuth connector
- PDF intake fallback
- Seeds → Moodboard loop
- 6-dim confidence per recommendation
Best for most teams
Multi-brand teams
Team · €599 / mo
1,000 credits / month
- Everything in Founder
- ≈ 100 daily runs / month
- Multi-tenant (separate brands)
- Stripe / custom ERP connectors
- Webhook hardening + DLQ
- Vault-encrypted tokens at rest
Tier-1 / tier-2 premium
Enterprise
custom contract
- Dedicated tenant or VPC
- Custom taxonomy mapping
- Backtest + comparative analysis
- Annex IV documentation included
- Executive decision workshop
- DPA + SCCs default · no training on your data
Tier-1 mega (Inditex / H&M scale, dedicated infrastructure) quoted separately. Contracts include DPA + SCCs by default; no training on your data, ever.
Trust
Calibrated uncertainty over confident guessing.
Backtested first
Every algorithm version is validated against the prior season's actual outcomes before any recommendation reaches you. Precision, recall, return-trap catch rate — all on the table.
6 confidence dimensions
Data completeness, identity, demand, margin, creative fit, action robustness. Every recommendation surfaces all six. No single confidence score papering over weak signals.
EU AI Act lane
No training on customer data. DPA + SCCs default. Dedicated tenant or VPC available. Algorithm versions, taxonomy versions, evidence pairs — every recommendation reproduces exactly. Shopify Protected Customer Data Access approved.
Earn the right to recommend next season by being right about last.
30-minute pilot scoping call. We come prepared with a sample backtest against publicly-available SKU data so you can see the engine before you brief us on yours.
Schedule pilot scoping call