AllMoxi ↔ Sibelink API Integration Blueprint (Catalog + Orders Sync)

TL;DR (direct answer)

What you’re integrating (quick context)

• AllMoxi: system of record for products, pricing logic, and order fulfillment
• Sibelink: AI handwritten order intake that needs an up-to-date catalog and a way to push orders back into AllMoxi

Integration goals

1. Sync catalog from AllMoxi → Sibelink
• Products + configurations
• Attributes/options and any “mapping names” required for external systems
• Categories and related reference data
• Pricing inputs / pricing logic (as supported)
2. Sync orders from Sibelink → AllMoxi
• New orders created from handwritten intake
• Order line items mapped to AllMoxi product/config structure
3. (Optional) Sync order status back AllMoxi → Sibelink
• Confirmed/processed status and any confirmation numbers

Why API-first (and when Zapier/Make is still useful)

API-first is best when:

• You must sync a large catalog with many related objects (attributes, options, categories)
• You need incremental sync (e.g., “products updated since X”) and pagination
• You need replayability (retry failed batches without duplicating data)
• You need deterministic handling for partial failures (some products fail, most succeed)

Zapier/Make is still useful when:

• The workflow is event-driven (e.g., “order verified” → email parse → transform → send to accounting)
• You need quick “glue” steps like formatting strings and lightweight transformations
• The integration’s primary cost driver is number of calls, not payload size (so single bulk calls can still be feasible)

Step 1: Get the right API credentials (including sandbox)

1. Ask AllMoxi for:
• Sandbox environment access (preferred for proof-of-concept)
• Client ID / API key (and any required auth header format)
• Rate limits / recommended polling cadence for catalog endpoints
2. Confirm whether AllMoxi:
• supports “updated since timestamp” filters
• supports webhooks (or only polling)

Step 2: Model the data (don’t code first)

Define canonical IDs

• Product ID (AllMoxi) → external ID (Sibelink)
• Attribute IDs / mapping names
• Category IDs

Decide on the “sync source of truth”

• Catalog: AllMoxi is authoritative
• Orders: Sibelink creates, AllMoxi fulfills

Map the product structure

• Product
• Product attributes/options
• Categories / types
• Pricing components / formulas

Step 3: Design the sync strategy

A. Catalog sync (AllMoxi → Sibelink)

1. Pull reference data:
• categories
• attribute definitions
• option tables (if applicable)
2. Pull products in pages:
• store a cursor or last-success timestamp
• upsert into Sibelink using stable external IDs
3. Pull “deep details” only when needed:
• if product list response is shallow, make a second call per product only for changed products

• Start with 1–2 syncs/day during initial rollout
• Move to more frequent incremental sync once you confirm load and rate limits

B. Orders sync (Sibelink → AllMoxi)

1. When an order is approved/ready in Sibelink, push it to AllMoxi
2. Persist an integration “receipt” record (order ID, status, timestamps, last error)
3. Add a periodic reconciliation job:
• re-pull any orders stuck in “pending/in_process” longer than a threshold

C. Order status sync (AllMoxi → Sibelink)

• Prefer webhooks if AllMoxi supports them
• Otherwise poll “recently changed orders” on a cadence aligned to business needs

Step 4: Handle pagination, rate limits, and retries

Pagination

• Always implement pagination for catalog endpoints
• Use stable ordering + cursor/offset depending on the API

Rate limits

• Backoff on 429s
• Spread catalog sync calls over time (especially if product details require additional calls)

Retries and idempotency

• Use idempotency keys for order creation if supported
• Make catalog upserts idempotent by external ID

Step 5: Build a failure-proof integration

• Structured logs for every request/response (with PII redaction)
• A dead-letter queue for failed records
• Alerting on:
• sustained error rate
• sync falling behind
• authentication failures

Step 6: Decide what transformations live where

• Core sync logic (IDs, upsert rules, retries): in the API integration layer
• Lightweight formatting (string trimming, field renames): Zapier/Make or a transform step

Implementation checklist

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