# B2B Case Study ## {Customer Name Not Provided} — Ops Director, 200-Person Logistics Company — Logistics & Supply Chain --- ### CARD 1 — EXECUTIVE SUMMARY The strongest angle here is a clean, quantified operational story: a mid-market logistics team went from a 16-hour weekly reconciliation slog to 2 hours, cut errors by 90%, and got there in 3 weeks instead of the 8 weeks they'd budgeted for. That's a tight, credible narrative for an Ops Director audience evaluating automation risk — speed of time-to-value plus hard efficiency gains. What's missing to make it fully publish-ready: a named customer and company (currently anonymous), a second verbatim quote to carry the Results or Implementation section, and a stated baseline/time period for the 90% error-reduction figure. The draft below is built entirely from what was provided and flags each of these gaps rather than filling them in. --- ### CARD 2 — NARRATIVE STRUCTURE **Challenge:** The team was manually reconciling spreadsheets every week, consuming 2 full days (16 hours) of staff time — consistent with the results data's 16-hour baseline. **Solution:** Not described in the notes beyond its effect (automation replacing manual reconciliation). No product name, feature set, or vendor detail was provided — flagged in Card 8. **Implementation:** Completed in 3 weeks against an 8-week estimate. The customer described (in paraphrase, not verbatim) initial skepticism about the timeline, followed by pleasant surprise at how fast it went. **Results:** Weekly reconciliation time dropped from 16 hours to 2 hours. Reconciliation errors fell 90% per customer-reported audit data (baseline/time frame not specified). In the customer's own words: *"Before this, we were manually reconciling spreadsheets every week and it took my team 2 full days. Now it's basically automatic."* **Future Outlook:** Not addressed in the notes — no forward-looking statement was provided and none has been invented. --- ### CARD 3 — PULL-QUOTE REGISTER | Quote (verbatim from notes only) | Where It Fits | Why It's Strong | |---|---|---| | "Before this, we were manually reconciling spreadsheets every week and it took my team 2 full days. Now it's basically automatic." | Challenge → Results bridge | Concrete before/after in the customer's own words; the "2 full days" figure independently corroborates the 16-hour metric in the results data, reinforcing credibility. | No additional verbatim quotes are available. The notes' mention of the customer's timeline skepticism and surprise is a paraphrase/summary, not a direct quote, so it is not eligible for this register and is used only as narrative color (see Card 2, Implementation). --- ### CARD 4 — QUOTE DIAGNOSTIC **Quote:** "Before this, we were manually reconciling spreadsheets every week and it took my team 2 full days. Now it's basically automatic." | Factor | Score | Status | Rationale | |---|---|---|---| | Verbatim Fidelity | HIGH | OBJECTIVE — verifiable against source notes | Reproduced word-for-word from the interview notes with no trimming, reordering, or edits. | | Specificity | HIGH | EDITORIAL JUDGMENT | Names a recurring cadence ("every week") and a concrete cost ("2 full days"), grounding the claim in specifics rather than vague sentiment. | | Emotional Resonance | MODERATE | EDITORIAL JUDGMENT | "Basically automatic" implies relief but is understated phrasing rather than vivid emotional language. | | Quote Strength Index (OPERATIONAL EXTENSION — NOT A MEASURE OF TRUTH OR ACCURACY) | HIGH | EDITORIAL JUDGMENT | Strong specificity plus verified fidelity make this usable as-is; the modest emotional register doesn't need — and shouldn't receive — punching up. | **Core Quote Reading:** This is a solid anchor quote — it does real narrative work (before/after contrast) and its numbers cross-check against the provided results data. Its main limitation is that it's the *only* verbatim material available, so it's being asked to carry more of the story's emotional weight than a single quote typically should. --- ### CARD 5 — RESULTS SUMMARY | Metric | Value | Source Status | |---|---|---| | Weekly reconciliation time (before → after) | 16 hours → 2 hours | METRIC PROVIDED | | Weekly reconciliation time — reduction (derived calculation, not separately sourced) | 87.5% reduction | METRIC PROVIDED | | Reconciliation error reduction | 90% | METRIC PROVIDED — CONTEXT INCOMPLETE (no baseline error rate/count and no stated audit period given) | | Implementation timeline (actual vs. estimate) | 3 weeks vs. 8-week estimate | METRIC PROVIDED | --- ### CARD 6 — DRAFT CASE STUDY **Headline:** From 16 Hours to 2: How One Logistics Team Automated Reconciliation in Three Weeks **Subhead:** A 200-person logistics company cut weekly reconciliation time by 87.5% and reconciliation errors by 90% — with an implementation that finished five weeks ahead of schedule. **Body:** Every week, the operations team at a 200-person logistics company spent two full days — 16 hours — manually reconciling spreadsheets. It was slow, repetitive, and pulled skilled staff away from higher-value work. The team adopted an automated reconciliation solution to replace that manual process. Going in, the Ops Director was skeptical about the implementation timeline. That skepticism didn't last: the rollout was complete in three weeks, well ahead of the eight-week estimate the team had planned around. The results were immediate. Weekly reconciliation time dropped from 16 hours to 2 — an 87.5% reduction. Per the customer's own audit data, reconciliation errors fell 90%. "Before this, we were manually reconciling spreadsheets every week and it took my team 2 full days. Now it's basically automatic." **— Ops Director, 200-Person Logistics Company** **CTA:** If your team is still losing days to manual reconciliation, see what a faster, more accurate process could look like for your operation. --- ### CARD 7 — TARGET AUDIENCE FIT NOTE The target audience — Ops Directors at mid-market logistics and supply chain companies evaluating automation tools — shaped two emphasis choices in the draft. First, the headline and subhead lead with hard time and error metrics rather than softer language, since this audience typically evaluates automation tools on quantified operational impact. Second, the implementation story (skepticism → 3 weeks vs. 8-week estimate) is foregrounded because implementation risk and time-to-value are common evaluation concerns for buyers in this role — a peer's account of the rollout going faster than expected directly speaks to that hesitation. No content was added beyond what the notes and results data supplied to serve this angle. --- ### CARD 8 — GAPS NEEDING CUSTOMER FOLLOW-UP - Customer name, job title confirmation, and company name for attribution (currently fully anonymized) - Name and description of the automation solution/product implemented — not specified in the notes - A second verbatim quote, ideally covering the error-reduction result or the implementation-timeline experience directly in the customer's words (the skepticism/surprise detail is currently only paraphrased) - Baseline error rate or count, and the time period over which the 90% error reduction was measured, to upgrade that metric from CONTEXT INCOMPLETE - Any future-outlook or expansion plans (additional use cases, team reallocation, next steps) — none were mentioned - Confirmation of whether "200-person logistics company" and job title can be published, or whether further anonymization/approval is needed - Any broader business impact beyond reconciliation (cost savings, headcount reallocation, customer-facing improvements) if the customer wants a richer Results section --- ### CARD 9 — METHOD NOTE This document is a drafting aid intended to accelerate case study production, not a substitute for the customer's review and sign-off. It's built on a five-part Case Study Narrative Arc (Challenge, Solution, Implementation, Results, Future Outlook) plus a Quote Strength Index, which is an operational extension used only to assess marketing usability — it is not a measure of truth, accuracy, or how compelling the underlying facts are. The target audience (Ops Directors at mid-market logistics/supply chain companies) shaped which angle was emphasized — quantified efficiency gains and de-risked implementation — but did not introduce any content beyond what the interview notes and results data supplied. Before publication, the customer should review and explicitly approve the final draft, with particular attention to the accuracy of the quote and every metric. --- **VERDICT: NEEDS ONE MORE QUOTE OR METRIC — the narrative is strong and internally consistent, but publication-readiness is held back by the missing customer/company identification, the absence of a second verbatim quote, and the incomplete baseline/time-frame context on the 90% error-reduction figure.**