> ## Documentation Index
> Fetch the complete documentation index at: https://docs.solya.app/llms.txt
> Use this file to discover all available pages before exploring further.

# List sales forecasts

> Returns a paginated list of sales forecasts with explicit date-range control (`forecastDateFrom`/`forecastDateTo`). Use this endpoint for arbitrary date windows, batch queries, or when you already know the exact date bounds. For rolling horizon-relative queries (e.g. 'next 30 days'), prefer `/api/forecasts` which derives the window from a `horizon` parameter automatically. Forecasts are keyed per variant × size × shop × date combination. Supports single-value (`variantId`/`shopId`) or comma-separated multi-value (`variantIds`/`shopIds`) filters.



## OpenAPI

````yaml /openapi.json get /api/intelligence/sales-forecasts
openapi: 3.0.3
info:
  contact:
    email: dev@solya.io
    name: Solya Team
  description: >-

    # Solya API


    Solya is a fashion retail inventory management platform for buyers and
    merchandisers.

    This API exposes all capabilities needed to manage the inventory lifecycle:
    catalog

    browsing, risk detection, plan creation (Restock / Markdown / Rebalance),
    analytics

    queries, and data-platform operations.


    ## Authentication


    Three authentication schemes are supported:


    | Scheme | Header | Use case |

    |---|---|---|

    | **BearerAuth** | `Authorization: Bearer <nextauth-token>` | Human users
    via the Solya web app (NextAuth session) |

    | **InternalBearerAuth** | `Authorization: Bearer <static-token>` | Internal
    jobs and cron tasks (static token per service) |

    | **ServiceAccountToken** | `Authorization: Bearer solya_sa_*` | LLM agents
    and programmatic clients (opaque token created via Settings) |


    All endpoints except `GET /api/health` require one of the above.

    See [Agent authentication guide](/docs/api/AGENT_AUTH.md) for the Service
    Account token flow.


    ## Response format


    Every endpoint returns an `ActionResponse<T>` envelope:


    **Success:**

    ```json

    { "success": true, "data": { ... } }

    ```


    **Error:**

    ```json

    { "success": false, "errorCode": "PLAN_NOT_FOUND", "error": "Human-readable
    message" }

    ```


    The `errorCode` is a stable machine-readable string (see common error codes
    below).

    The `error` field is for human display only and may change between versions.


    ## Pagination


    List endpoints accept `page` (1-indexed, default 1) and `pageSize` (default
    20, max 100).

    Responses include a `total` field with the total number of matching records.


    ```

    GET /api/shops?page=2&pageSize=50

    → { "success": true, "data": { "data": [...], "total": 120, "page": 2,
    "pageSize": 50 } }

    ```


    ## Common error codes


    | HTTP status | errorCode | Meaning |

    |---|---|---|

    | 401 | `UNAUTHORIZED` | Token missing, expired, or invalid |

    | 403 | `FORBIDDEN` | Token valid but lacks the required permission or scope
    |

    | 404 | `NOT_FOUND` | Requested resource does not exist |

    | 409 | `BUSINESS_RULE_VIOLATION` | Business rule blocked the operation (see
    response details) |

    | 422 | `VALIDATION_ERROR` | Input failed Zod schema validation |

    | 429 | `RATE_LIMIT_EXCEEDED` | Rate limit hit (100 req/min per token) |

    | 500 | `INTERNAL_ERROR` | Unexpected server error |


    ## Rate limiting


    Default limit: **100 requests per minute** per authentication token.

    When the limit is exceeded the API returns HTTP 429 with `errorCode:
    "RATE_LIMIT_EXCEEDED"`.

    Agents should implement exponential back-off and respect the `Retry-After`
    header when present.


    ## Further reading


    See the [Agent guide](/docs/api/AGENT_GUIDE.md) for end-to-end workflows,
    call-chaining

    patterns, and anti-patterns to avoid.
        
  license:
    name: Proprietary
    url: https://solya.app/terms
  title: Solya API
  version: 1.0.0
  x-ai-context: >-
    Solya is a fashion retail inventory management platform for retailers.

    Core concepts:

    - **Organization** (tenant): every endpoint is scoped by organizationId
    extracted from the token.

    - **Shop**: a physical point of sale belonging to the organization.

    - **ProductVariant**: a SKU — a product variant with size and color.

    - **Plan**: a Restock / Markdown / Rebalance grouping PlanItems to
    orchestrate inventory decisions.


    Typical agent workflow:

    1. List the organization's shops — GET /api/shops

    2. List variants at risk (stockout, overstock, slow-mover) — GET
    /api/inventory/risks

    3. Create a plan — POST /api/restock-plans, /api/markdown-plans, or
    /api/rebalance-plans

    4. Add items to the plan — POST /api/restock-plans/{planId}/items (or
    equivalent for other plan types)

    5. Validate / submit the plan via the corresponding action endpoint


    Auth: use a Service Account token (see /docs/api/AGENT_AUTH.md).

    The token is created by an org admin via Settings and has the format
    solya_sa_<43 base64url chars>.


    All responses follow the ActionResponse envelope:

    - Success: { success: true, data: T }

    - Error:   { success: false, errorCode: string, error: string }


    Use the errorCode field to drive retry logic or surface user-facing
    messages.
servers:
  - description: Current environment
    url: https://app.solya.app
security:
  - BearerAuth: []
tags:
  - description: >-
      Health and liveness endpoints. Use GET /api/health to verify the service
      is reachable before starting a workflow. No authentication required.
    name: System
  - description: >-
      Physical points of sale belonging to the organization. Supports listing,
      creation, update, and deactivation. Shops are referenced by all Plan types
      (Restock, Markdown, Rebalance) and by every inventory analytics endpoint.
    name: Shops
  - description: >-
      Product brands configured for the organization. Brands are used to filter
      catalog queries and analytics. Supports CRUD operations.
    name: Brands
  - description: >-
      The product catalog: style-level entities grouping one or more
      ProductVariants. Supports listing with rich filter options (brand, family,
      gender, season) and individual retrieval.
    name: Products
  - description: >-
      SKU-level product entities (a Product with a specific size and color).
      Variants are the atomic unit referenced by PlanItems, inventory risk
      alerts, and analytics queries.
    name: Variants
  - description: >-
      Curated product groupings used for seasonal assortment management. A
      Collection groups Variants and can be referenced when creating or
      filtering Plans.
    name: Collections
  - description: >-
      Current on-hand stock records per Variant per Shop. Used to understand the
      live inventory position before creating a restock or rebalance plan.
    name: Inventory Items
  - description: >-
      AI-detected inventory risk signals: stockout risk, overstock, slow-movers,
      and displaced stock. The primary input for agents building
      recommendation-driven plans. Supports filtering by shop, brand, risk type,
      and severity.
    name: Inventory Risks
  - description: >-
      AI-generated restock quantity recommendations per Variant per Shop.
      Consumed by agents to pre-populate Restock plan items. Based on sales
      velocity, stock coverage, and lead time.
    name: Recommendations - Restock
  - description: >-
      AI-generated markdown discount recommendations for slow-moving or
      overstock Variants. Consumed by agents to pre-populate Markdown plan
      items. Includes recommended discount rate and expected clearance timeline.
    name: Recommendations - Markdown
  - description: >-
      AI-generated stock transfer recommendations between shops to balance
      supply with demand. Consumed by agents to pre-populate Rebalance plan
      items.
    name: Recommendations - Rebalance
  - description: >-
      Historical sales transaction lines at the Variant + Shop + date level.
      Used by analytics and by the AI recommendation engine. Supports date-range
      and multi-dimensional filtering.
    name: Sales Lines
  - description: >-
      Purchase order lines tracking inbound stock from suppliers. Combined with
      stock and sales data to compute forward coverage and restock needs.
    name: Order Lines
  - description: >-
      Inventory movement records (transfers, returns, adjustments). Used to
      reconcile the stock ledger and audit stock changes between shops.
    name: Movement Lines
  - description: >-
      Running stock balance log per Variant per Shop. Provides a point-in-time
      view of stock levels and is the source of truth for coverage computations.
    name: Stock Ledger
  - description: >-
      Rebalance plans orchestrate stock transfers between shops. Supports
      creating plans, adding Variant items with proposed transfer quantities,
      reviewing, and submitting. Business rules are evaluated on item addition.
    name: Plans - Rebalance
  - description: >-
      Restock plans (order plans) orchestrate purchase orders to suppliers.
      Supports creating sessions, adding Variant items with proposed order
      quantities, reviewing totals, and submitting. Integrates with the order
      plan workflow.
    name: Plans - Restock
  - description: >-
      Autocomplete and typeahead search endpoints for catalog dimensions:
      products, brands, shops, sizes, families, genders, and more. Designed for
      fast UI search (low latency, small result sets). Use catalog list
      endpoints for full paginated access.
    name: Search
  - description: >-
      Manage file-based data ingestion: upload CSV/XLSX files, poll ingestion
      status, list historical ingestion runs, and trigger batch reprocessing.
      Used by the data team to import POS data and catalog updates.
    name: Data Platform - File Ingestions
  - description: >-
      Organization-level configuration for the data platform: data source
      connections, POS integration settings, and ingestion schedules. Requires
      elevated permissions.
    name: Data Platform - Settings
  - description: >-
      Configuration of automated inventory alerts: threshold-based rules that
      monitor stock levels, sales velocity, and coverage gaps. Supports CRUD for
      alert definitions; alert evaluation runs are triggered by the data
      platform scheduler.
    name: Data Platform - Alerts
  - description: >-
      Endpoints designed for LLM agents and programmatic clients. These
      endpoints expose agent-optimized response shapes. Authenticate with a
      Service Account token (format: solya_sa_*) created via Settings → API
      Tokens.
    name: Agent
externalDocs:
  description: >-
    Complete guide for LLM agents and programmatic clients: authentication,
    pagination patterns, ActionResponse interpretation, call chaining, business
    rule error handling.
  url: /docs/api/AGENT_GUIDE.md
paths:
  /api/intelligence/sales-forecasts:
    get:
      tags:
        - Intelligence
      summary: List sales forecasts
      description: >-
        Returns a paginated list of sales forecasts with explicit date-range
        control (`forecastDateFrom`/`forecastDateTo`). Use this endpoint for
        arbitrary date windows, batch queries, or when you already know the
        exact date bounds. For rolling horizon-relative queries (e.g. 'next 30
        days'), prefer `/api/forecasts` which derives the window from a
        `horizon` parameter automatically. Forecasts are keyed per variant ×
        size × shop × date combination. Supports single-value
        (`variantId`/`shopId`) or comma-separated multi-value
        (`variantIds`/`shopIds`) filters.
      operationId: listSalesForecasts
      parameters:
        - in: query
          name: page
          required: false
          schema:
            default: 1
            description: 'Page number, 1-indexed (default: 1)'
            maximum: 9007199254740991
            minimum: 1
            type: integer
        - in: query
          name: pageSize
          required: false
          schema:
            default: 20
            description: 'Number of items per page, max 100 (default: 20)'
            maximum: 100
            minimum: 1
            type: integer
        - in: query
          name: variantId
          required: false
          schema:
            description: Filter by a single variant ID (use variantIds for multiple)
            type: string
        - in: query
          name: variantIds
          required: false
          schema:
            description: >-
              Comma-separated list of variant IDs to filter by (e.g.
              uuid-1,uuid-2). Ignored when variantId is set.
            type: string
        - in: query
          name: sizeTaxonomyId
          required: false
          schema:
            description: Filter by size taxonomy ID
            type: string
        - in: query
          name: shopId
          required: false
          schema:
            description: Filter by a single shop ID (use shopIds for multiple)
            type: string
        - in: query
          name: shopIds
          required: false
          schema:
            description: >-
              Comma-separated list of shop IDs to filter by (e.g.
              uuid-1,uuid-2). Ignored when shopId is set.
            type: string
        - in: query
          name: granularity
          required: false
          schema:
            description: >-
              Forecast time granularity: DAY, WEEK, MONTH, or QUARTER. Note:
              WEEK granularity may return 0 rows when the data warehouse has not
              yet computed weekly aggregations for the requested date range.
            enum:
              - DAY
              - WEEK
              - MONTH
              - QUARTER
            type: string
        - in: query
          name: forecastDateFrom
          required: false
          schema:
            description: >-
              Inclusive lower bound on forecast date, ISO-8601 format YYYY-MM-DD
              (e.g. 2025-09-01)
            pattern: ^\d{4}-\d{2}-\d{2}$
            type: string
        - in: query
          name: forecastDateTo
          required: false
          schema:
            description: >-
              Inclusive upper bound on forecast date, ISO-8601 format YYYY-MM-DD
              (e.g. 2025-12-31)
            pattern: ^\d{4}-\d{2}-\d{2}$
            type: string
      responses:
        '200':
          content:
            application/json:
              examples:
                sample:
                  summary: Two forecast rows returned
                  value:
                    data:
                      - algorithm: prophet-v2
                        confidenceLevel: 0.87
                        forecastDate: '2025-10-01'
                        granularity: WEEK
                        lbQuantity: 8
                        quantity: 12
                        shopId: shop-uuid-paris
                        sizeTaxonomyId: size-uuid-m
                        ubQuantity: 16
                        variantId: var-uuid-001
                      - algorithm: prophet-v2
                        confidenceLevel: 0.82
                        forecastDate: '2025-10-01'
                        granularity: WEEK
                        lbQuantity: 4
                        quantity: 7
                        shopId: shop-uuid-lyon
                        sizeTaxonomyId: size-uuid-l
                        ubQuantity: 11
                        variantId: var-uuid-002
                    meta:
                      page: 1
                      pageSize: 20
                      total: 3500
              schema:
                properties:
                  data:
                    description: Page of items
                    items:
                      properties:
                        algorithm:
                          description: Algorithm identifier that produced this forecast
                          type: string
                        confidenceLevel:
                          description: Model confidence level in [0,1]
                          nullable: true
                          type: number
                        forecastDate:
                          description: >-
                            ISO-8601 date (YYYY-MM-DD) for which the forecast
                            was computed
                          pattern: ^\d{4}-\d{2}-\d{2}$
                          type: string
                        granularity:
                          description: Time granularity of this forecast point
                          enum:
                            - DAY
                            - WEEK
                            - MONTH
                            - QUARTER
                          type: string
                        lbQuantity:
                          description: Lower-bound quantity forecast
                          nullable: true
                          type: number
                        quantity:
                          description: Forecasted quantity for the period
                          nullable: true
                          type: number
                        shopId:
                          description: Shop identifier
                          type: string
                        sizeTaxonomyId:
                          description: Size taxonomy identifier
                          type: string
                        ubQuantity:
                          description: Upper-bound quantity forecast
                          nullable: true
                          type: number
                        variantId:
                          description: Variant identifier
                          type: string
                      required:
                        - variantId
                        - sizeTaxonomyId
                        - shopId
                        - forecastDate
                        - granularity
                        - quantity
                        - lbQuantity
                        - ubQuantity
                        - algorithm
                        - confidenceLevel
                      type: object
                    type: array
                  meta:
                    description: Pagination metadata
                    properties:
                      page:
                        description: Current page number (1-indexed)
                        type: number
                      pageSize:
                        description: Number of items per page
                        type: number
                      total:
                        description: Total number of items matching the filters
                        type: number
                    required:
                      - total
                      - page
                      - pageSize
                    type: object
                  success:
                    enum:
                      - true
                    type: boolean
                required:
                  - success
                  - data
                  - meta
                type: object
          description: Successful response
        '400':
          description: Validation error
        '401':
          description: Unauthorized
        '500':
          description: Internal server error
      security:
        - BearerAuth: []
components:
  securitySchemes:
    BearerAuth:
      bearerFormat: JWT
      description: >-
        User session token issued by NextAuth. For human users accessing Solya
        via the web application.
      scheme: bearer
      type: http

````