Accurate data entry, Excel formatting and PDF conversion
Careful data entry, Excel formatting and PDF conversion delivered accurately and on schedule for businesses, students and online projects.
Data and analytics · delivered in 2 days · Quick service
Every quarter has one month that outsells the rest. Without knowing which one it is, you risk ordering stock too late and missing the rush, tying up cash in stock that arrives too early, or scheduling staff at the wrong time.
We pinpoint which of the next 3 calendar months is most likely to be your peak, using the seasonal pattern drawn from your own sales history across all the years you provide. You receive this before the quarter starts, giving you time to act rather than react.
The next quarter means the 3 calendar months immediately following the last date in your data. For example, if your records end in September, the quarter we forecast is October, November and December; if they end in March, it is April, May and June. We compare each of those 3 months against its own history to find the likely peak.
We ask for a minimum of 12 months of sales data, as a full year is needed to spot your peak reliably. Sending 12 to 23 months gives basic peak detection, while 24 months or more sharpens the result further. Recent months show where your business stands now, and older months reveal seasonal behaviour, so we weigh both, giving more weight to recent activity.
Attach your file directly through chat where possible. If the file is too large, upload it to a shared drive link with editor access for download only; we will not alter your file.
Completed within 2 business days of receiving your brief and data.
This service draws on experience analysing more than 10000 rows of retail data, combined with a statistical forecasting background and practical work in product management and data analytics. Explanations are given in plain language, without jargon.
This snapshot service suits businesses that want a clear, single-month forecast before the quarter begins. For a fuller, multi-month view covering inventory and cash flow planning, see our related quarterly planning service.
Your order opens its own thread here the moment it is paid, and everything about that order - questions, changes and the final report - happens in it.
Careful data entry, Excel formatting and PDF conversion delivered accurately and on schedule for businesses, students and online projects.
Rigorous statistical and econometric analysis using SPSS, R, EViews and Python, turning raw data into clear, actionable results for academic and business projects.
A single Streamlit risk gauge built in Python that turns one operational metric into a clear, colour-coded status view for your business.
We analyse continuous single-channel time series data to detect twin-peak frequency structures, delivering a quantified anchor score (0-1), peak frequencies (f1, f2) and a full PDF report.
PBN.LTD compares your planned budget against actual spending to highlight variances by category and period, giving a clear picture of where performance diverges from plan.
Custom n8n and Python automations, ERP or database integrations, and AI agents, built and deployed directly on your own infrastructure.