AI reports you can trust. Plans you can act on.

Reporting and planning for consumer brands, built so you can check every number.

Five sources, one report
Five data sources (retail scans, store orders, marketplace reports, inventory and open orders) feed one report.

Example

One report. Every number traced.

A weekly report for a fictional skincare brand. Tap a number to see where it came from, or open a section.

Illustrative example · fictional brand and data
Stock outlook starts open.
Weekly BriefIssue 12 · Week 36

Halden Skincare

Barrier Serum is 34% over forecast at specialty.

At this pace, stock runs out about 2.4 weeks before the next order arrives.

    1. Four weeks of actual units against forecast units, by channel. Only specialty is far from plan.

    2. The shaded band is the gap between stock running out and the order arriving. The two ticks show where the order would land if moved up 2 or 3 weeks.

      • Keep week 44. Stock runs out about 2.4 weeks early. Around 6,960 units are at risk.
      • Move up 2 weeks (week 42). A gap of about 0.4 weeks remains. Around 1,160 units are at risk.
      • Move up 3 weeks (week 41). The order lands before stock runs out. No gap.

      Plans are recommendations. Your team makes the final call.

    3. FigureCalculationSource
      +34%11,600 ÷ 8,656 − 1Retailer scans, wk 33–36
      5.6 weeks16,240 on hand ÷ 2,900 per weekInventory on hand, wk 36
      6,960 units(44 − 41.6) weeks × 2,900 per weekOrder PO-2210, arrives wk 44

      Automation cleans and combines the data and runs the calculations. AI drafts the write-up and flags unusual numbers.

      We recommend someone on your team checks each figure against its source before the report is shared.

    Drafted by AI. Ready for your team's review.Refreshed Monday, 06:00Fictional brand and dataPage 1 of 1

    Services

    What you get.

    Three services. Each ends in something you can read, check and act on.

    Sources into one report

    AI Reporting

    A report that refreshes on its own every week, and improves with each round of feedback.

    It can save hours a week in manual work, depending on how much is rebuilt by hand today.

    From question to answer

    AI Analytics

    Plain-English answers to what changed, why, and where to look first.

    Regular readouts, or one-off questions.

    Stock and reorder timing

    AI Planning

    Demand forecasts, inventory levels and reorder timing, kept current as your numbers change.

    Plans are recommendations. Your team makes the final call.

    How the AI is used

    Automation cleans and combines your data and runs the calculations. AI drafts the write-up and flags unusual numbers. We recommend someone on your team reviews each report before it's shared.

    Fewer manual steps means fewer manual mistakes.

    Working together

    Three ways to work together.

    Starter project

    One report, set up to refresh on its own.

    System

    Several reports plus forecasting and planning, in one consistent format.

    Ongoing support

    Maintenance, improvements, and new reports as the business changes.

    We work from the files you send, and where it helps, read-only access to your systems or cloud folders. Ideally one person on your team who knows the data reviews each report before it's shared. Your data stays yours.

    Who's behind it

    Founder-led.

    Hands-on reporting and planning across four consumer categories.

    Profentia is founder-led. The work draws on hands-on reporting and planning in apparel, cosmetics, skincare and sports goods. We start with the systems you already use.

    “Highly responsive, affable and positive to work with.”

    Client feedback

    “Professional, communicative, and easy to work with.”

    Client feedback

    Contact

    Start a conversation.

    Tell us what you report on today.

    hello@profentia.com

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