One platform to manage every route to market - general trade, modern trade and e-commerce - as a single consented commercial truth. Owned by the distributor, read by the brand through consent. AI that proposes, a human that launches, an engine that learns.
This is the keystone. Most companies run each route to market on a different system, and never see the whole picture - so they can't tell when e-commerce is cannibalising the shelf, or where the same shopper is being chased twice. Infoscend models every channel as a face of one consented commercial truth: what sold, at what net price, funded by whom. One ledger, channel-agnostic, owned by the distributor and read by the brand through consent.
The traditional-trade backbone - distributors, field reps, warung and kedai outlets. Secondary orders, WhatsApp intake, GPS-verified visits, competitive capture.
Banner and key-account management - chain to region to store, terms negotiated at the banner, executed at the shelf, served by your reps or the distributor's.
Marketplace and q-commerce sell-out, net of escrow fees and returns - so the margin you see is the margin you got. The channel-conflict view nobody else gives you.
Most distribution software is a system of record someone has to keep up to date. Infoscend is built on four convictions that change what the software is for - and each is enforced in the data model, not the marketing.
General trade, modern trade, e-commerce - modelled as channels of one commercial truth and managed together. The same spine records what sold, at what net price, funded by whom, so you see total sell-out and cross-channel cannibalisation in a single view instead of three disconnected systems.
There is no shared tenant where everyone's numbers pool together. The distributor owns all operational data; a brand is a tag on it and sees only its own slice, and only after consent is granted. Consent can be withdrawn. That single decision lets a distributor run its whole multi-brand business on one system, and is why no brand ever sees another's.
Every AI output is a fully-parameterised draft on a real entity - a scheme, a claim, a route, a counter-offer - validated against your rules and ready to launch in one click. You accept, amend, or discard. Nothing moves without a human. The dashboard that just shows you charts is the thing we replaced.
Detect, diagnose across lenses, prescribe by cause, let a human accept or amend, then learn from the choice. Every AI surface - pricing, attrition, the field rep's next call - is a face of the same engine. Not five bolt-on features that disagree with each other.
Every distributor-led organisation has the same two leaks. Strategy degrades on the way down. Intelligence never makes it back up. Both are invisible to a consulting deliverable, and both are addressable in software - if the software is one coherent loop and not a stack of disconnected tools.
An alert is not an answer. Infoscend reasons across lenses to find the cause, writes the fix as a launch-ready draft, and remembers what you did with it. The same loop runs whether the decision is a price move, an at-risk distributor, or a field rep's next call.
A -60% scan signal isn't "cut the price" if the product is physically off the shelf - it's an availability failure, and the engine says so, with the evidence. The diagnosis names the cause; the proposal is a constraint-validated draft; the launch is one human click; the outcome feeds back as a signal that sharpens the next call.
detect → diagnose-across-lenses → prescribe-by-cause → human accept / amend / discard → learn
Every morning the engine reads your entire commercial dataset and writes the two sentences that name what's dragging your quarter, then ranks the moves by what matters to you this week. Not a wall of charts to interpret. A diagnosis, an alert, and a recommended action you can launch.
distributor health · attrition risk · whitespace · demand forecast · natural-language query
See the engine →In every market that distributes through traditional trade, the order arrives as a voice note, a message in mixed languages, a photo of a handwritten chit, not an EDI feed. Infoscend reads all of them and turns them into structured, confidence-scored drafts your finance team approves or rejects in one click. The most common back-office bottleneck in emerging-market distribution, removed.
Bahasa · English · Mandarin · Hindi · Tagalog · Vietnamese · code-switched · voice · photo chit
See the platform →| SKU | Qty |
|---|---|
| Verra Cola 500ml | 5 ctn |
| Stratus Tonic | 24 ea |
Not six products stitched together - one system, one database, one reasoning layer. You configure it for your business; you don't wait for us to ship features.
Multi-principal, distributor-first DMS. Orders, billing, inventory, credit, batch tracking, multi-warehouse - every read scoped through consent.
Mobile-first field app. The engine's next-best-action before every outlet call. GPS-verified visits, vision capture, voice journaling, offline-first.
Reps photograph competitor shelves and price lists. The engine recognises products, extracts prices, flags anomalies. The price-index tells you where you stand.
Build promotions from familiar mechanics; the engine compiles them to composable contracts. Run them, claim against them, settle fast - the distributor's adoption carrot.
The same sell-out spine, extended to banners and marketplaces. Total-market view, true margin net of fees, cross-channel cannibalisation - one commercial truth.
A retailer app for warung and kedai owners. Multi-brand loyalty, scan-to-earn, reward catalogue, a direct brand-to-outlet line that routes back into orders.
Software either fits the work or fights it. Each role's view is built around the first question that person asks over their first coffee, and the engine answers it in their language.
You own the country P&L. Monday starts with one question: am I going to hit my quarter? You need one screen that compresses fourteen dashboards into the five things that actually matter, with the engine explaining the why, not just the what, and a move you can launch on the spot.
You own primary and secondary sales. Every distributor is a relationship and a number. The day starts with: who's lagging, and why? You need a heatmap that surfaces problems before they become incidents, and a recovery drafted before the review meeting.
You manage equity across brands and categories. Half your week is upstream signal-watching, half downstream creative. What keeps you up is a competitor's move you didn't see, a campaign that ran with no measurable lift, a launch that fell flat at retail, and a brand wall you have to trust.
Every demo to a CEO is gorgeous. Every rollout to thirty reps is a war. The field app was designed by watching real reps on real beats, to be faster than the paper book, offline on every screen, multilingual, one-thumb. Adoption is a design problem, and we designed for the field, not the boardroom.
The app is the senior rep who shadows every junior - on every visit, in the local language.
Capture an order in seconds. Voice-note refusals instead of writing them. Snap a competitor shelf instead of copying it.
Challenges, streaks, leaderboards. Reps open the app to check their position, not to file a report.
Stores everything locally and syncs when connected. No spinner on a hot afternoon in poor signal.
The engine's next-best-action, objection handling, relationship alerts - one tap, before the rep walks in.
The platform holds rival brands' commercial data in the same system. That only works if trust is structural - designed in from the first line, verified continuously, and impossible to bypass in production.
Every query runs through a visibility layer. A brand sees a distributor's data only where consent is granted; a bare query that trusts the client is treated as a defect, not a shortcut.
Isolation has tests that go red the moment a protection is removed. Brand A's data is invisible to Brand B by construction, including on writes, and the suite proves it on every change.
Auth shortcuts that exist for local development are hard-gated and cannot run under production. Nothing ships until the verification gate passes in full - typecheck, isolation, money math, security.
Monetary values are exact-precision with a currency companion; every formula carries a worked example and a golden test. settle() is the one money path - no parallel arithmetic, no rounding surprises.
The bar for every change: would it pass a penetration test and a security review with no comments?
Most software is as smart on day 500 as day one. Infoscend's loop captures what you accept, amend, and discard, and feeds it back to the engine. The diagnoses sharpen, the proposals fit your reality, the field recommendations learn your outlets. The longer you run it, the harder it is to replace.
Most rollouts fail in week three - field teams revert to WhatsApp, finance goes back to exports, owners stop opening the dashboard. We run a phased rollout where each phase locks before the next begins.
Practitioner essays on route-to-market strategy, distributor economics, and the craft of building commercial intelligence software. The kind of material that costs a fortune to commission. Free here.
Working capital locked in uncollected receivables grows faster than revenue. The standard model treats it as linear. It compounds.
9 min read · →A 2% return on capital employed is worse than liquidating and banking the cash. Yet viability frameworks approve this profile every day.
12 min read · →Features get copied in a quarter. An engine that has learned your business for two years does not.
10 min read · →AI produces confident numbers with no operational grounding. Client teams produce grounded strategy with no external benchmark. Neither alone is enough.
11 min read · →We don't pitch. We show you the live system, configured against your reality. Within 45 minutes you'll have seen the owner's command centre, the distributor heatmap, WhatsApp parsing, and the field app, all running on demo data shaped to your category.
No sales call before the briefing · No procurement intake · Built for senior commercial leaders