Counterfeit and diverted product costs agrochem manufacturers margin, brand, and farmer trust — and unit-level authentication is too expensive for a 50kg bag and unenforceable at a rural counter. Sondhan takes a different route: instead of trying to authenticate every unit, it watches how your product actually moves through distribution and surfaces the anomalies fraud leaves behind — so your regional teams investigate on evidence instead of rumor.
Built for fertilizer, pesticide, and seed manufacturers across India and Bangladesh.
Counterfeit operators don't print working QR codes, and a genuine bag whose scan simply never happened looks identical to a fake one. The signal isn't in any one scan — it's in the shape of the whole channel.
Sondhan watches for the handful of ways fraud bends a normal distribution pattern — product surfacing where it was never shipped, moving faster than physical delivery allows, or concentrated in places the numbers don't support. Each anomaly it finds becomes a ranked case your team can act on. The specific signals, and the thresholds that trigger them, are tuned to your channel.
Sondhan is an intelligence layer, not an enforcement engine. It will not tell you a bag is counterfeit, and it won't act on your behalf. What it does is turn millions of commission and scan events into a short list of ranked anomaly cases, each one backed by the specific numbers that fired it.
From there, the investigation is human: your regional sales team makes the call or the field visit. Sondhan's job is to make sure that when they do, they're spending their time on the cases that actually warrant it.
You already generate most of the data. Sondhan captures it, watches it, and surfaces what's worth a human's attention.
Each unit carries a cheap serial code. Sondhan records how product moves — factory to distributor to retailer — and the checks that happen at the counter.
Sondhan continuously compares live movement against what's normal for your channel, using thresholds your operations team controls.
When a pattern crosses its threshold, Sondhan opens a case carrying the evidence — which container or retailer, which rule fired, the numbers behind it.
Cases route to the right regional team for ground-truth investigation. They confirm, dismiss, or escalate — and that outcome sharpens what the system learns to surface next.
Sondhan is sold to the manufacturer and runs entirely inside your own tenant — there's no shared graph and no upstream data to pull. The chain is yours end to end, and so is the intelligence Sondhan draws from it.
High-volume, low-unit-cost product moving through long rural distribution chains — where diversion and substitution thrive.
Premium branded inputs counterfeiters love to imitate, where a fake product damages crops and the brand takes the blame.
Branded seed packs sold across fragmented retail, where channel integrity directly determines what farmers actually plant.
Tell us how your product moves from factory to field, and we'll walk through what Sondhan surfaces across your channel.
Sondhan detects statistical anomalies in distribution data to guide human investigation. It does not authenticate individual units and does not by itself establish that any product is counterfeit; findings are leads for ground-truth investigation, not determinations.