Conatus turns your sell-out data, SAP feed, and GFK signal into one clean weekly output — so your GM decides in 20 minutes instead of arguing for two hours.
KAMs inflate forecasts because their bonus depends on it. Planners deflate them because their KPI is inventory. Nobody is looking at actual sell-out data. The GM mediates. And by Wednesday, you're ordering from China based on a negotiated number — not a real one.
SAP says you sold 1,000 units. The B2B portal says retailers moved 600. The 400 are sitting on a floor — and you're paying fees on all 1,000.
KAM submits 200. Planner cuts to 120. GM splits the difference at 160. Conatus had 147. Nobody knows until 30 days later when SAP closes.
Logistics fees, price support, event aportes — all calculated on invoiced units, not units sold. Most companies lose millions here without ever auditing it.
We don't build dashboards. We build the decision that the dashboard never gave you.
— Beatriz B., Founder & Country Manager LATAM · Conatus Analysis ABEach module solves a specific, documented pain. Start with a free audit. Scale to the full suite as you grow. All prices in CLP/month unless noted.
Give us your SAP data and B2B portal exports. We identify exactly how much money disappeared in the last 12 months — and why. 27 documented wound patterns. Average finding: CLP $67M per company. Delivered in 48 hours. No commitment required.
How many units will sell at each retailer, each week — before you order from China. Built from B2B portal exports + GFK signals + 5 years of historical patterns. MAPE 18.7% vs manual 41.3%. The base of everything else.
Works backwards from sell-out. Calculates the correct PO accounting for floor stock, lead time from China, and transit. No more ordering by gut feel or by whoever shouts loudest in the meeting.
GFK publishes totals by broad channel. This breaks them down by retailer — Falabella vs Ripley vs Lider — using historical share models. Market intelligence at retailer level, without asking them for anything.
Monday 7am: Conatus seals its forecast — locked, irreversible. Monday 9am: KAMs submit their number blind (they never see Conatus's first). Wednesday: GM gets one consolidated output and makes the call. The end of the negotiation meeting.
Every forecast ever submitted, compared to SAP actuals 30 days later. Permanent immutable record. KAM accuracy, planner accuracy, Conatus accuracy — all visible. Can't be edited. Can't be disputed.
KAMs submit a simple forecast (5 minutes, blind). Conatus compares to SAP reality 30 days later — silently. GM sees who inflates consistently and by how much. KAM never sees Conatus's number or anyone else's.
Flags products about to stock out or pile up — before it happens. Prevents the crisis instead of managing it.
Model the full impact of a price change before touching anything. Sell-out elasticity by SKU and retailer. Revenue and margin projected. Decide with evidence, not intuition.
CyberDay, Black Friday, Fiestas Patrias. Every major event modeled with historical uplift curves by retailer. Know how much stock you need before the event — not after running out.
GM sends a scenario. You run the model, validate the output, send back a clean answer. Dollar spike, competitor move, supplier delay — modeled in hours, not days. The Wizard of Oz layer stays invisible.
Retailers charge fees on invoiced units — but not all of them sold. CAI crosses SAP vs B2B portal on every charge: logistics fees, price support, event aportes, promotional settlements. Most companies are bleeding millions here without knowing it.
Were variable bonuses calculated on actual sell-out — or on invoiced sell-in before credit notes? This module recalculates every KPI-linked payment on real data and shows the delta. Run this after Module 12.
Upload the retailer agreement. Conatus reads every variable compensation clause and flags what's calculable, what's ambiguous, and what's impossible to audit. Most contracts were written 10+ years ago. Run this before Module 10.
Real net margin per SKU per retailer, after every fee, credit note, and trade investment. You'll know which channel is actually profitable — and which one you've been subsidizing for three years.
Every trade peso measured against actual sell-out uplift. Event by event, retailer by retailer. Know what's working before committing next year's budget.
When a KAM leaves, they take everything — account history, informal agreements, methods. Conatus keeps the institutional memory. The next KAM starts informed. The GM stops being held hostage by whoever has the relationship.
Detects market share moves in real time using GFK delta signals — not 6 weeks later when the quarterly report lands. First to know, first to react.
Zombie SKUs that move 3 units a month but occupy warehouse space, planning cycles, and credit lines. This module quantifies the true cost of keeping them — in CLP, not opinions.
Optimal product mix per container from forecast demand and cubic space constraints. Less air shipped from China. Better capital allocation per order.
Benchmarks new product launches against historical curves. Detects failure at week 3 — not week 12 when the inventory is already in the country.
Start with the free audit. Move to PRO when the first module pays for itself — usually in month one.
GFK tells you the market moved. Conatus tells you what to do about it — with a recommended PO, a locked forecast, and one screen for the GM.
Every output goes through human validation before the client sees it. The algorithm runs the math. We make sure the recommendation makes sense in the real world.
Module −1 is free. We find CLP $67M average per company in the first audit. By the time you're on PRO, the tool has already paid for 18 months of subscription.
Built for Falabella, Ripley, Lider, Paris — the portals, the fee structures, the SAP setup. Not a US tool adapted. A LATAM tool, built right.
8 people. Two continents. One obsession: getting the Monday meeting right.