Pharma Trade in Practice

First, client assets owned by individuals: relationship data lives in personal address books, so when a person leaves the clients leave too. It is the largest channel of asset loss in this industry and it is financially invisible — no report shows the clients you will not have next year.

Second, sales processes that cannot be verified: long cycles, high order values, decision chains overseas. The account manager always knows more than management, and what comes back is always "very interested".

Third, unowned compliance responsibility: sanctions screening, client qualification checks and the permitted scope of regulatory references. Missing any one can cost an entire market, and the liability lands squarely on the company.

What the three share is that none shows up as a current loss, so all three can persist for years until they surface together. All three are also structurally fixable in advance — which is where the earlier disciplines land in practice.

Attach a checkable artefact to each pipeline stage. Qualification: verifiable capacity, import records, credit report or an audit arrangement. Sampling: receipt confirmation, test scheduling, periodic follow-up notes. Intent: a purchasing-plan email, related project progress, a budget window. Pricing: key fields from a quotation, or trade data used to triangulate. Delivery: repeat rate, complaint log, acceptance record.

The critical design is the exit condition: add a verification-status field (unverified, partially verified, verified) and exclude unverified opportunities from both the forecast and the commission base. It removes most of the optimism from reporting automatically, without anyone having to accuse anyone.

It is worth stating that the purpose is not surveillance. It is to separate "tried hard and got nowhere" from "did not try" — the first needs support, the second needs handling. Blur them and management is left with gut feel, which is precisely where organisations go wrong.

Channel evolution in this industry is visible: trade shows and directories, then B2B platforms, then owned sites and content, and now a round in which buyers find suppliers through search and question-answering tools. When a purchaser stops browsing catalogues and instead asks who supplies a given product and holds which certificate, whether your technical material is readable and citable by those tools decides whether you appear at all.

The operational step is a quarterly board: enquiry sources, cost per acquisition by channel, conversion rate and sales cycle by channel. A channel that trails on return for several periods enters sunset review automatically, and the budget funds new-channel tests.

One caveat: a new channel almost always looks worse early on, so test budget must be ring-fenced. Otherwise it can never out-compete a mature channel, and the organisation stays where it is.

Regulatory files and licences — registration dossiers, audit reports, stability data — are entry barriers and must be archived centrally, with commercial staff holding read-and-borrow rights only. Client and decision-chain data must live in one system owned by the company, with access transferred the day someone leaves.

Technical authority needs productising. Turn a senior expert's judgement into standard technical packages, FAQ manuals and comparative application data, so staff without a technical background can apply most of it rather than queueing for the expert every time.

Brand and digital assets are the only compounding ones: a bilingual site, technical material, professional content that can be found by search. They generate enquiries with no individual involved at all.

Pareto's observation keeps proving true in trade: 80% of revenue comes from 20% of clients, 80% of margin from 20% of products, 80% of trouble from 20% of orders. The lesson is not to work less but to triage first: sort tasks into four boxes by importance and urgency. Do the important-urgent now; schedule the important-not-urgent (preparation, prevention, capability, client relationships all live there); delegate or simplify the urgent-unimportant; drop the rest.

The key diagnosis: someone firefighting all day is running an empty important-not-urgent box — firefighting is overtime for yesterday's neglect. Foresight means moving prevention forward: registration-progress tracking, backup supplier capacity, standardised document templates. Once these turn urgent, the cost doubles.

The operational step: each quarter, rank clients and products separately, find the 20% producing 80% of results, then audit your own time log for the past month. If less than half of it went to that 20%, resources are misallocated.

SMART goals: specific (tied to a particular indicator, never vague), measurable (the data must be obtainable), attainable (a stretch but reachable), relevant (linked to the larger objective) and time-bound (a fixed deadline). "Make Southeast Asia work this year" is not a goal; "complete sample validation with one registered partner client in Thailand before Q2" is.

WBS breaks goals into tasks, tasks into work, work into activities — down to units assignable to a named person with a clear completion criterion. Where the breakdown stalls is the blind spot: it usually means dependencies or resources are not thought through. Top-down decomposition must collide with bottom-up feedback, not just cascade.

PDCA closes the loop: plan, do, check, act — where Check reads measurable indicators, not "feels on track". Improvement compounds in small loops; qualitative leaps are accumulated, not decreed. In trade practice the natural loop objects are registration progress, the client-development funnel and supplier pass rates — all with built-in checkpoints.

Three enquiries arrive in one day; instinct processes them in arrival order. The quantitative approach scores each first — order size, expected margin, time investment, urgency, win probability, downstream potential — then computes expected value. A 1,000-unit order at 80% win probability and a 10,000-unit order at 50% may have similar EV, but the latter consumes five times the effort. Without ranking, your scarcest resource (a person's time) is silently allocated by arrival time.

Two calibration errors are common. First, probabilities reported by gut feel — check historical conversion rates so "very interested" must be translated into an evidence-backed probability (see the verification card). Second, counting only the first order — win probability should be weighted by downstream potential, since a major client's first order often loses money on paper and pays back in repeat business.

For existing clients, layer on RFM: recency of last order, frequency, monetary value. The three indicators segment clients into groups, with four to watch — high-value (all three high), those needing relationship maintenance, those needing volume growth, and those needing win-back. Enquiry EV allocates new flow; RFM ranks existing clients. Together they complete the allocation picture.

Answer first: one central idea per document, stated up front, reasons after. Reverse the order and the reader must excavate the conclusion from paragraphs — and usually will not. Summarise from below: each layer summarises the one beneath, not sits beside it. Group: ideas in one group belong to the same logical category. Order: within groups, sequence by time, importance or causality.

MECE (mutually exclusive, collectively exhaustive) is the quality bar for grouping: no overlap makes items comparable, no gaps makes the analysis complete. The usual methods are a fishbone-style decomposition of the core question into all sub-questions, or brainstorm-then-merge. A quick self-test: every piece of information fits into exactly one box, and every box has a reason to exist.

Two direct applications in trade. Client proposals: lead with the recommendation and a summary of reasons, then file technical detail into MECE groups — qualifications, capacity, quality control, logistics — instead of a stream of thought. Internal weekly reports: first paragraph is conclusions and decisions needed; process detail goes to the appendix. How disciplined the writing is reflects how disciplined the thinking is.

PEST scans the macro layer: politics and policy (environmental curbs, export controls, bilateral tariffs), economics (FX, freight, rates), society (demographics and drug-consumption structure), technology (route changes, continuous flow). It shows which way the environment is drifting; run it yearly and record only what changed.

Porter's five forces explain where profit sits inside the industry: buyer concentration sets pricing power — the position against a top global generics group differs entirely from that against regional mid-size buyers; supplier power depends on whether key intermediates are monopolised; entry barriers are registration and environmental capex; substitution threat is whether a new route can bypass your product; rivalry is the degree of overcapacity. The framework explains most cases of "working hard but losing the price": it is not the sales team, it is five forces deteriorating at once.

For portfolio decisions the BCG matrix is the next tool: classify products by growth and relative share into stars (invest), cash cows (harvest to fund stars), question marks (selective bets) and dogs (orderly exit). It is not precise, but it forces a question most teams avoid: if resources moved from dogs to stars, what does the portfolio look like in two years?