Why ALDC
The Compounding Advantage
Pact-wide intelligence gives the Canada Plastics Pact the ability of Compounding Advantage.
The Pact-wide intelligence layer gets smarter every reporting cycle. Every Partner that joins, every PRO that connects, and every sister-pact Impact Report makes the next answer better.
Day 1
Connect your data. Intelligence begins immediately.
Day 90
Patterns emerge. Cross-references deepen. Answers sharpen.
Year 1
Institutional knowledge no competitor can replicate.
Every section below is evidence of how this advantage compounds.
The Intelligence Multiplier
Frontier AI tools like Gemini, ChatGPT, Copilot, and Claude are powerful — and the secretariat and Partners should keep using them. ALDC doesn't replace these platforms. We augment them with a pact-wide intelligence layer that connects Partner data, regulatory context, and sister-pact benchmarks to the AI tools your team already relies on.
What frontier AI does well today
Summarize the FPR Phase 1 reporting guide and cite the canada.ca source
Answer general questions about the Plastics Pact Network, GDRs, and EMF Global Commitment templates
Draft Partner-facing comms, board memos, and policy briefs on plastic packaging
Remember prior conversations and browse the web for global circular-economy research
These capabilities are real and improving fast. The question isn't whether they work — it's what they can't reach.
Where the data fabric carries the next mile
Where Partner data context lives
Frontier models remember the conversation, and that's exactly what they're built for. The Pact's packaging masters, PRO flow data, and mass-balance certificates live one layer below — the layer ALDC builds — so the AI tools Partners already love can reach into Pact-grade context when they need it.
Where live operational signals live
Frontier AI is brilliant at the open web. The signals from Partners' SAP Material Master, Specright, Trace One, or Esko WebCenter need a dedicated bridge — and that bridge is what we're proposing to stand up alongside the Pact.
Where Partner-level insight lives
Which Partner formats are on track for Target 4, which retailer private-label lines are leaning into Target 2, how a beverage Partner's profile compares to a frozen-food Partner — those answers live in a pact-wide data fabric, complementary to (not competing with) any single AI tool.
Where cross-system reasoning lives
Connecting a PCR supply constraint to a federal Gazette notice to a sister-pact benchmark to a Roadmap-to-2035 modelling decision is a stitching job — the kind a persistent intelligence layer underneath every AI tool the secretariat uses is best placed to do.
Eclipse + Zeus Memory + Zeus Chat
Three systems that sit underneath your team's existing AI tools and give them something they don't have: Partner data, pact-wide context, and a memory that compounds.
Eclipse
Data Platform
Ingests and structures Partner packaging data: brand owner masters, retailer private-label, PRO flow data, and government registry submissions. The foundation everything else builds on.
Zeus Memory
Context Layer for AI
Pact-wide and regulatory knowledge that persists and compounds. Every FPR submission, every GDR scorecard, every sister-pact Impact Report makes the system smarter. The layer no standalone AI has.
Zeus Chat
Evidence Engine
Conversational interface powered by an intelligent model router. Routes each task to the best frontier AI — Anthropic for reasoning, Gemini for multimodal, OpenAI for generation, Voyage AI for search.
Connected to your team's preferred tools through open integration protocols. Partners keep what they already use — the intelligence layer works behind it.
What pact-wide intelligence can do that frontier AI alone cannot
Predict which Partner formats will breach Target 2 or Target 3 next reporting cycle, based on PRO flow data, format-level MRF acceptance, and historical PCR availability — before the Sept 29 FPR deadline
Show the secretariat the full pact-wide profile of any format: brand-owner placements, retailer private-label volumes, recycler recovery rates, and cross-pact peer benchmarks in one evidence-backed view
Generate FPR-ready submissions, GDR scorecards, and EMF Global Commitment templates with full data trail — no manual data assembly required
Build cumulative pact-wide intelligence that compounds with every Partner onboarded, every PRO data exchange, and every sister-pact Impact Report
The AI models are the same ones every other organisation has access to.
The difference is that every Partner that joins the fabric makes the next FPR submission, the next GDR scorecard, and the next Roadmap-to- 2035 modelling run more accurate.
That advantage compounds — and it starts the day the Pact begins.
The Right AI for Every Task
No single AI model is best at everything. The system automatically selects the right model for each task — fast classification for incoming Partner records, deep reasoning for cross-Partner analysis, precision search for evidence retrieval — so the Pact always gets the best available answer.
Specialized AI for Every Task
The system adapts as AI models improve — always routing to the best fit for each task
How the Pact-Wide Intelligence Layer Works
From Partner data to actionable Pact intelligence — continuously and automatically
Ingest
Connect Partner Sources
Packaging masters, PRO flow data, mass-balance certificates, regulator submissions
Secure & Confidential
Modern encryption; Partner data is anonymised at the rollup boundary, never shared raw
Clean & Map
Resolves taxonomy differences across FPR, EPR, GDR, and EMF schemas
Analyze
Store Securely
Canadian-resident data storage with full audit trail
Search Intelligently
Finds relevant data across Partners, formats, and sister pacts simultaneously
Discover Patterns
Identifies entities, materials, and cross-Partner trends automatically
Govern
Stay Current
Automatically retires outdated submissions and prioritises the latest reporting cycle
Validate Accuracy
Cross-references findings across PRO data, certificates, and Partner masters
Deliver
Dashboards & Reports
Purpose-built views for the secretariat, Partners, ECCC, and the Network
Ask & Learn
Conversational interface answering questions with cited evidence — better with every interaction
The AI models powering this system are available to anyone. What isn't available is the intelligence built on Partner data, the secretariat's questions, and the Pact's institutional knowledge.
One Pact-Wide View. Unlimited Perspectives.
What if every Partner's packaging master, every PRO's flow data, every regulator submission, and every sister-pact Impact Report could all talk to each other? ALDC's pact-wide intelligence layer ingests all of it into a single, anonymised fabric — then generates as many purpose-built views as the Pact requires.
Where the Data Lives Today
Packaging Masters
Brand owner SAP / Specright / Trace One
PRO Flow Data
Circular Materials, ÉEQ, Recycle BC
Federal Programs
FPR Phase 1, SUPPR, recycled-content reg
Provincial EPR
RPRA, ÉEQ, Recycle BC, APRA
Mass-Balance Certs
ISCC PLUS, RecyClass chain-of-custody
Pact Annual Survey
100+ Partner annual returns
Sister-Pact Reports
UK, US, ANZPAC, EU Impact Reports
Methodology Library
GDRs, EMF Global Commitment, problematic plastics list
Pact-Wide Intelligence Layer
Structured + Unstructured + Network Methodology
Every data source normalised into a single Pact-governed schema. Fully cross-referenced, continuously updated, semantically searchable. One source of truth for the Canada Plastics Pact.
Purpose-Built Views — As Many As The Pact Needs
FPR Submission Workspace
ECCC-format submission file generated from each Partner master, ready for 29 September each year
GDR SKU Scorecard
Live compliance against the 9 Golden Design Rules at the SKU level, with priority-action lists
Partner Progress vs 4 Targets
Per-Partner view: problematic plastics, RRC %, effective recycling, and PCR average
Pact Aggregate Dashboard
Anonymised pact-wide rollups for the secretariat, board, and Impact Report narrative
Cross-Pact Benchmarking
UK / US / ANZPAC / EU comparisons by format and target, fluent in network reporting language
Roadmap-to-2035 Modelling
What-if scenarios on tightened targets, new Partner cohorts, and PCR supply trajectories
The data is ingested once — and the intelligence layer compounds from that moment forward.
Every new Partner enriches every existing view. Every new question is answered with the full weight of everything that came before it.
Audit-Ready Evidence, On Demand
Pact decisions, Partner reporting, and FPR submissions need evidence fast — across regulatory frameworks, sister-pact benchmarks, and Partner operations. Not summaries. Evidence defensible from a board meeting to a Competition Bureau review.
Attributed
Every claim cites source data
Confidence-rated
Certain vs. evolving
Legible
Glance or deep-dive
Always on
No analyst bottleneck
Which Partner formats are most at risk of missing Target 4 (30% recycled content average) this reporting cycle, and where do we stand against sister-pact benchmarks?
Illustrative answer shape — what a Pact-wide query looks like once Partner data is connected: rigid PET beverage formats typically lead PCR adoption; flexible film in frozen and snack categories is the toughest format class across the network; rigid HDPE personal-care sits in between, gated by mass-balance certified PCR availability. The same query, run against the live data, would surface the specific Partners and SKUs — with confidence rated against sister-pact methodology so trajectories are comparable, not just ranked.
Every answer is traceable. Every source is cited. Every confidence score rises as the Pact ingests more Partner data.
The answers in year three are categorically better than year one — because the evidence base has been compounding since day one.
Unmatched Capability
Deliver something for your Partners that no one else can.
Pact-wide intelligence isn't a product you install. It's a capability that compounds from the moment Partners begin — turning every reporting cycle into an asset that grows more valuable with every Partner that joins.
The Pacts that begin first compound the furthest.