Reports
A guide to all standard Sharefox reports, including descriptions, key data points, and recommended use cases β helping you choose the right report for your needs.
To find your reports: Go to "Admin" and choose "Reports" from the left side menu.
π§ΎQuarterly Sales Report
What it shows:
A summary of all orders placed within a specific quarter, with key financial and operational details per order.
Key columns include:
- Order Reference & Order ID β For identifying each order
- Order Time β When the order was created
- Order Type β Online, admin, subscription, etc.
- Total Price for Order β The full order value
- Payment Method & Payment ID β How the customer paid and the associated transaction reference
- Received Payments β Amount actually received (e.g. accounting for discounts or partial payments)
When to use it:
- To get a quarterly financial overview of all sales activity
- For reconciling expected vs. received payments
- As a reference for follow-ups on unpaid or partially paid orders
Watch out for:
- If the report has per-day columns (like the extra date columns at the end), those might relate to product availability or usage, and arenβt always relevant for basic financials.
π³ Customer Payment Report
What it shows:
A detailed list of individual payments received from customers, along with who paid, how much, when, and for which order.
Key columns include:
- Payment ID & Payment Method β Identifiers and method used (e.g. Stripe, Vipps)
- Received Payments β The actual amount paid
- Payment Initiation Time β When the payment was made
- Order Reference & Order ID β Ties the payment to a specific order
- User Name β The customer who paid
- Total Price for Order & VAT β Useful for comparing total order value vs. amount received
- Transaction ID & Status β Tracking data for the payment provider
When to use it:
- For checking individual payments in a specific time period
- To match payments with orders
- To track down a specific customerβs payment history
- When reconciling transactions with your payment provider (e.g. Stripe)
Watch out for:
- Partial payments will show up as-is β donβt assume it means the full order was paid
- Doesnβt show what was bought β only the financial side
- You might need to combine this with other reports to check unpaid or refunded orders
π§ββοΈ Customer Sales Report
What it shows:
A customer-centric view of orders, highlighting how much each customer spent, how they paid, and how much was received.
Key columns include:
- Order Reference & Order ID β Standard identifiers
- User Name β The customer placing the order
- Order Time β When the order was created
- Total Price for Order & VAT β Full cost breakdown
- Payment Method, Payment ID, Received Payments β Financial details tied to the transaction
- Order Note β Any custom notes added to the order
When to use it:
- When you need to review or report on customer-specific purchases
- For answering βhow much did customer X spend last month?β
- Ideal for account managers or customer service teams doing follow-ups
Watch out for:
- Like the payment report, this doesnβt show what products were rented β just the high-level customer + payment view
π Monthly Sales Report
What it shows:
An overview of all orders placed in a specific month, with a focus on order totals and payment activity.
Key columns include:
- Order Reference, Order ID, Order Time β For identifying and tracking the order
- Order Type β e.g. Online, Admin
- Total Price for Order β Full value before any adjustments
- Payment Method, Payment ID, Received Payments β Details about how and how much was paid
When to use it:
- To track total revenue generated in a specific month
- Great for monthly reconciliations or reporting
- Helps spot trends in payment method usage or outstanding payments
Watch out for:
- It doesnβt break down what was ordered β this is high-level financials only
- Received payment might be less than order total if the order is only partially paid
π¦ Order Line Report
What it shows:
A detailed breakdown of each product line item within every order β not just the order itself, but the specific products rented or sold.
Key columns include:
- Order ID & Reference, Timestamp β Ties the item to a specific order
- Product Name, Product ID β What was ordered
- Units, Unit Price, Deposit β Quantity, cost per unit, and any deposit applied
- Rental Period β Start/end dates and times
- Customer Location β Postal code and city
When to use it:
- To analyze which products are being rented/sold and when
- For calculating utilization, popularity, or stock trends
- Ideal for answering βHow many of Product X did we rent in April?β
Watch out for:
- This is detailed, so it includes multiple rows per order (one per product line)
- Some columns may be empty if not used (e.g. inventory IDs for bulk products)
π Accounting File
What it shows:
A deep-dive report designed to be imported into accounting systems β contains full order, product, pricing, and customer details for a specific time period.
Key columns include:
- Order ID, Reference, Timestamp β Full traceability
- Product Name, ID, Quantity, Price, VAT β Every chargeable line
- Customer Details β Name, company, address, org number
- Rental Dates β Start/end per item
- Location Info β Where the product was booked from
When to use it:
- For monthly accounting exports
- When importing to external systems like Tripletex, Visma, PowerOffice, etc.
- Ideal for auditors, accountants, or payment reconciliation
Watch out for:
- Super detailed β includes all line items and all customer data
- Donβt send this raw to customers (it's very backend-flavored)
π Daily Pickup Summary Report
What it shows:
A calendar-style overview of how many pickups (i.e. order start dates) are scheduled per product, per day for a selected period.
Key columns include:
- Location & Product Name β Where and what
- Summary of Pickups β Total pickups for the product across the date range
- Each Day Column β A separate column for each day showing how many pickups are scheduled
When to use it:
- To plan for daily operations (staffing, prep, logistics)
- For seeing rental traffic patterns and daily volume spikes
- When answering questions like βhow busy are we on April 14?β
Watch out for:
- Doesnβt show returns β only pickups (start dates)
- Only includes products with at least one pickup in the date range