AIC Sales Analyser β€” 2025-26
166 customers Β· 12 months Β· Apr 25 – Mar 26 Β· AM-A: 36 Β· AM-B: 130 Β· T1: 24 Β· T2: 134 Β· T3: 8
Monthly sales β€” all customers
AM-A vs AM-B β€” monthly comparison
Top 10 customers by total sales
#CustomerAMTierAprMayJunJulAugSepOctNovDecJanFebMarTotalTrend
Trend = Jan-Feb-Mar avg vs Oct-Nov-Dec avg   ↑ = buying more recently   ↓ = buying less recently
#CustomerAMTierAprMayJunJulAugSepOctNovDecJanFebMarTotalAvg/MoTrendSpark
Month-on-month performance
πŸ“Œ Trend % compares the average of the last 3 months (Jan–Feb–Mar) against the average of the previous 3 months (Oct–Nov–Dec). A positive % means the customer is buying more recently. A negative % means they are buying less recently.
Customer Γ— Month grid (top 50 by total)
24 unclassified customers
These customers appear in your Tally export but are not in the master file. Assign AM and Tier, then save to include them in all analysis views.
Upload 26-27 Sales Data
Upload your Tally export for Apr 26 onwards. Each customer's monthly value will be compared against their 25-26 monthly average β€” so you can immediately see who is above or below their usual run rate.
πŸ“Œ Baseline = each customer's average monthly order value from Apr 25 – Mar 26  Β·  β–² Green = above baseline  Β·  β–Ό Red = below baseline
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Drop your 26-27 Tally export here or click to browse
Same format as last year β€” customer name in col 2, monthly sales in subsequent columns